ILMSImage Attribute Calculation - Revision history

DanielS at 12:07, 13 January 2012

2012-01-13T12:07:29Z

← Older revision		Revision as of 12:07, 13 January 2012
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	[[de:ILMSImage_Attribute_Calculation]]		[[de:ILMSImage_Attribute_Calculation]]
		+	[[pt:ILMSImage_Attribute_Calculation]]
	=[[File: ilms_img_attributes_icon.png\|50px\|<span title=""></span>]] ILMSImage Attribute Calculation=		=[[File: ilms_img_attributes_icon.png\|50px\|<span title=""></span>]] ILMSImage Attribute Calculation=

Chr at 08:12, 5 December 2011

2011-12-05T08:12:41Z

Chr: /* Following Steps */

2011-11-30T17:05:21Z

Following Steps

← Older revision		Revision as of 17:05, 30 November 2011
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	==Following Steps==		==Following Steps==

−	After cell creation a typical ILMSImage process chain with derivation and calculation of cell attributes continues by using the panel [[ILMSImage Classification ~~english~~\|ILMSImage Classification]].	+	After cell creation a typical ILMSImage process chain with derivation and calculation of cell attributes continues by using the panel [[ILMSImage Classification\|ILMSImage Classification]].

Chr: /* Introduction */

2011-11-30T17:04:46Z

Introduction

← Older revision		Revision as of 17:04, 30 November 2011
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	''ILMSImage Attribute Calculation'' is part of the [[Tutorial_ILMSImage#ILMSImage_Plug-in_for_QuantumGIS\|ILMSImage plug-in for QuantumGIS]] and is used for the derivation and calculation of cell-based attributes and for the integration of additional data layers.		''ILMSImage Attribute Calculation'' is part of the [[Tutorial_ILMSImage#ILMSImage_Plug-in_for_QuantumGIS\|ILMSImage plug-in for QuantumGIS]] and is used for the derivation and calculation of cell-based attributes and for the integration of additional data layers.

−	Similar to various ILMSImage panels it consisits of two components, ''[[~~ILMSImage_Cell_Creation_english~~#Part_1:_Information\|ILMSImage Project Information]]'' in the upper section and the actual tools in the lower section.	+	Similar to various ILMSImage panels it consisits of two components, ''[[ILMSImage_Cell_Creation#Part_1:_Information\|ILMSImage Project Information]]'' in the upper section and the actual tools in the lower section.

	[[Bild:ilms_img_qgis_work_15.png\|Das ILMSImage-Panel zur Berechnung von Zellattributen]]		[[Bild:ilms_img_qgis_work_15.png\|Das ILMSImage-Panel zur Berechnung von Zellattributen]]

Chr at 15:56, 28 November 2011

2011-11-28T15:56:07Z

← Older revision		Revision as of 15:56, 28 November 2011
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		+	[[de:ILMSImage_Attribute_Calculation]]
	=[[Bild: ilms_img_attributes_icon.png\|50px\|<span title=""></span>]] ILMSImage Attribute Calculation=		=[[Bild: ilms_img_attributes_icon.png\|50px\|<span title=""></span>]] ILMSImage Attribute Calculation=

Chr: hat „ILMSImage Attribute Calculation english“ nach „ILMSImage Attribute Calculation“ verschoben

2011-11-28T15:31:58Z

hat „ILMSImage Attribute Calculation english“ nach „ILMSImage Attribute Calculation“ verschoben

← Older revision

Revision as of 15:31, 28 November 2011

Chr: /* Calculation of Cell-Based Attributes */

2011-09-01T08:13:39Z

Calculation of Cell-Based Attributes

← Older revision		Revision as of 08:13, 1 September 2011
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	\| rowspan="4" \| Structure \|\| Linear texture \|\| ''linear texture'' \|\| <code>linear</code> \|\| The activation of this measure creates the 1st degree texture in a 3x3 kernel. The algorithm calculates the texture for every cell individually and ignores all image pixels which are outside of the current cell. Like all structural features also the linear texture uses the first channel which is displayed in the project information as a basis for calculation.		\| rowspan="4" \| Structure \|\| Linear texture \|\| ''linear texture'' \|\| <code>linear</code> \|\| The activation of this measure creates the 1st degree texture in a 3x3 kernel. The algorithm calculates the texture for every cell individually and ignores all image pixels which are outside of the current cell. Like all structural features also the linear texture uses the first channel which is displayed in the project information as a basis for calculation.
	\|-		\|-
−	\| Normalized texture \|\| ''~~Normalized~~ texture'' \|\| <code>normalized</code> \|\| The normalized textures uses the same algorithm as the linear texture but it normalizes the result additionally with the average value of all image pixels of the current cell. Like all structural features also the normalized texture uses the first channel which is displayed in the project information as a basis for calculation.	+	\| Normalized texture \|\| ''normalized texture'' \|\| <code>normalized</code> \|\| The normalized textures uses the same algorithm as the linear texture but it normalizes the result additionally with the average value of all image pixels of the current cell. Like all structural features also the normalized texture uses the first channel which is displayed in the project information as a basis for calculation.
	\|-		\|-
	\| Inverse texture \|\| ''inverse texture'' \|\| <code>inverse</code> \|\| By activating the inverse texture the ''Inverse Difference Moment'' ([http://ieeexplore.ieee.org/xpls/abs_all.jsp?tp=&isnumber=4309300&arnumber=4309314&tag=1 Haralick et al. (1973), S. 619]) is calculated on pixel level. Inverse texture uses the same algorithm as the linear and normalized texture but it finally calculates the inverse value of the square differences. Like all structural features also the inverse texture uses the first channel which is displayed in the project information as a basis for calculation.		\| Inverse texture \|\| ''inverse texture'' \|\| <code>inverse</code> \|\| By activating the inverse texture the ''Inverse Difference Moment'' ([http://ieeexplore.ieee.org/xpls/abs_all.jsp?tp=&isnumber=4309300&arnumber=4309314&tag=1 Haralick et al. (1973), S. 619]) is calculated on pixel level. Inverse texture uses the same algorithm as the linear and normalized texture but it finally calculates the inverse value of the square differences. Like all structural features also the inverse texture uses the first channel which is displayed in the project information as a basis for calculation.

Chr: /* Calculation of Cell-Based Attributes */

2011-09-01T08:13:18Z

Calculation of Cell-Based Attributes

← Older revision		Revision as of 08:13, 1 September 2011
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	! width="5%" \| Attribute type !! width="12%" \| Attribute !! width="12%" \| GUI-Label !! width="16%" \| Internal designation !! width="55%" \| Description		! width="5%" \| Attribute type !! width="12%" \| Attribute !! width="12%" \| GUI-Label !! width="16%" \| Internal designation !! width="55%" \| Description
	\|-		\|-
−	\| Basis \|\| ~~average~~ value per band \|\| ''average value per input band'' \|\| <code><layer_id>[_<numerator></code>] \|\| For every input band an average value is calculated from all image pixels summarized in one cell. The internal designation corresponds to the identifier which is selected for the corresponding band (in the example: <code>panchromatic</code>), in case of mult-channel input data completed by one channel number (in the example: <code>multi-spectral_1</code>, <code>multi-spectral_2</code>, etc.).	+	\| Basis \|\| Average value per band \|\| ''average value per input band'' \|\| <code><layer_id>[_<numerator></code>] \|\| For every input band an average value is calculated from all image pixels summarized in one cell. The internal designation corresponds to the identifier which is selected for the corresponding band (in the example: <code>panchromatic</code>), in case of mult-channel input data completed by one channel number (in the example: <code>multi-spectral_1</code>, <code>multi-spectral_2</code>, etc.).
	\|-		\|-
−	\| rowspan="4" \| Structure \|\| ~~linear~~ texture \|\| ''linear texture'' \|\| <code>linear</code> \|\| The activation of this measure creates the 1st degree texture in a 3x3 kernel. The algorithm calculates the texture for every cell individually and ignores all image pixels which are outside of the current cell. Like all structural features also the linear texture uses the first channel which is displayed in the project information as a basis for calculation.	+	\| rowspan="4" \| Structure \|\| Linear texture \|\| ''linear texture'' \|\| <code>linear</code> \|\| The activation of this measure creates the 1st degree texture in a 3x3 kernel. The algorithm calculates the texture for every cell individually and ignores all image pixels which are outside of the current cell. Like all structural features also the linear texture uses the first channel which is displayed in the project information as a basis for calculation.
	\|-		\|-
	\| Normalized texture \|\| ''Normalized texture'' \|\| <code>normalized</code> \|\| The normalized textures uses the same algorithm as the linear texture but it normalizes the result additionally with the average value of all image pixels of the current cell. Like all structural features also the normalized texture uses the first channel which is displayed in the project information as a basis for calculation.		\| Normalized texture \|\| ''Normalized texture'' \|\| <code>normalized</code> \|\| The normalized textures uses the same algorithm as the linear texture but it normalizes the result additionally with the average value of all image pixels of the current cell. Like all structural features also the normalized texture uses the first channel which is displayed in the project information as a basis for calculation.
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	\| Laplace texture \|\| ''Laplace texture'' \|\| <code>laplace</code> \|\| This structural feature uses the modified Laplace kernel for contrast enhancement for individual cells. The parameter enhances the result with a generic kernel which reacts to local contrast maxima with minimal spatial distance (two to five pixels). As a result, isolated lines are reduced and regions are filled with spatially dense contrasts.		\| Laplace texture \|\| ''Laplace texture'' \|\| <code>laplace</code> \|\| This structural feature uses the modified Laplace kernel for contrast enhancement for individual cells. The parameter enhances the result with a generic kernel which reacts to local contrast maxima with minimal spatial distance (two to five pixels). As a result, isolated lines are reduced and regions are filled with spatially dense contrasts.
	\|-		\|-
−	\| rowspan="2" \| Statistics \|\| ~~standard~~ deviation \|\| ''standard deviation'' \|\| <code>stddev</code> \|\| By activating this option the standard deviation of all image pixels summarized in one cell of the first channel in the project information is calculated.	+	\| rowspan="2" \| Statistics \|\| Standard deviation \|\| ''standard deviation'' \|\| <code>stddev</code> \|\| By activating this option the standard deviation of all image pixels summarized in one cell of the first channel in the project information is calculated.
	\|-		\|-
	\| Variance \|\| ''variance'' \|\| <code>variance</code> \|\| By activating this option the variance of all image pixels summarized in one cell of the first channel in the project information is calculated.		\| Variance \|\| ''variance'' \|\| <code>variance</code> \|\| By activating this option the variance of all image pixels summarized in one cell of the first channel in the project information is calculated.

Chr: /* Calculation of Cell-Based Attributes */

2011-09-01T08:12:26Z

Calculation of Cell-Based Attributes

← Older revision		Revision as of 08:12, 1 September 2011
Line 30:		Line 30:
	! width="5%" \| Attribute type !! width="12%" \| Attribute !! width="12%" \| GUI-Label !! width="16%" \| Internal designation !! width="55%" \| Description		! width="5%" \| Attribute type !! width="12%" \| Attribute !! width="12%" \| GUI-Label !! width="16%" \| Internal designation !! width="55%" \| Description
	\|-		\|-
−	\| ~~basis~~ \|\| average value per band \|\| ''average value per input band'' \|\| <code><layer_id>[_<numerator></code>] \|\| For every input band an average value is calculated from all image pixels summarized in one cell. The internal designation corresponds to the identifier which is selected for the corresponding band (in the example: <code>panchromatic</code>), in case of mult-channel input data completed by one channel number (in the example: <code>multi-spectral_1</code>, <code>multi-spectral_2</code>, etc.).	+	\| Basis \|\| average value per band \|\| ''average value per input band'' \|\| <code><layer_id>[_<numerator></code>] \|\| For every input band an average value is calculated from all image pixels summarized in one cell. The internal designation corresponds to the identifier which is selected for the corresponding band (in the example: <code>panchromatic</code>), in case of mult-channel input data completed by one channel number (in the example: <code>multi-spectral_1</code>, <code>multi-spectral_2</code>, etc.).
	\|-		\|-
−	\| rowspan="4" \| ~~structure~~ \|\| linear texture \|\| ''linear texture'' \|\| <code>linear</code> \|\| The activation of this measure creates the 1st degree texture in a 3x3 kernel. The algorithm calculates the texture for every cell individually and ignores all image pixels which are outside of the current cell. Like all structural features also the linear texture uses the first channel which is displayed in the project information as a basis for calculation.	+	\| rowspan="4" \| Structure \|\| linear texture \|\| ''linear texture'' \|\| <code>linear</code> \|\| The activation of this measure creates the 1st degree texture in a 3x3 kernel. The algorithm calculates the texture for every cell individually and ignores all image pixels which are outside of the current cell. Like all structural features also the linear texture uses the first channel which is displayed in the project information as a basis for calculation.
	\|-		\|-
−	\| ~~normalized~~ texture \|\| ''Normalized texture'' \|\| <code>normalized</code> \|\| The normalized textures uses the same algorithm as the linear texture but it normalizes the result additionally with the average value of all image pixels of the current cell. Like all structural features also the normalized texture uses the first channel which is displayed in the project information as a basis for calculation.	+	\| Normalized texture \|\| ''Normalized texture'' \|\| <code>normalized</code> \|\| The normalized textures uses the same algorithm as the linear texture but it normalizes the result additionally with the average value of all image pixels of the current cell. Like all structural features also the normalized texture uses the first channel which is displayed in the project information as a basis for calculation.
	\|-		\|-
−	\| ~~inverse~~ texture \|\| ''inverse texture'' \|\| <code>inverse</code> \|\| By activating the inverse texture the ''Inverse Difference Moment'' ([http://ieeexplore.ieee.org/xpls/abs_all.jsp?tp=&isnumber=4309300&arnumber=4309314&tag=1 Haralick et al. (1973), S. 619]) is calculated on pixel level. Inverse texture uses the same algorithm as the linear and normalized texture but it finally calculates the inverse value of the square differences. Like all structural features also the inverse texture uses the first channel which is displayed in the project information as a basis for calculation.	+	\| Inverse texture \|\| ''inverse texture'' \|\| <code>inverse</code> \|\| By activating the inverse texture the ''Inverse Difference Moment'' ([http://ieeexplore.ieee.org/xpls/abs_all.jsp?tp=&isnumber=4309300&arnumber=4309314&tag=1 Haralick et al. (1973), S. 619]) is calculated on pixel level. Inverse texture uses the same algorithm as the linear and normalized texture but it finally calculates the inverse value of the square differences. Like all structural features also the inverse texture uses the first channel which is displayed in the project information as a basis for calculation.
	\|-		\|-
	\| Laplace texture \|\| ''Laplace texture'' \|\| <code>laplace</code> \|\| This structural feature uses the modified Laplace kernel for contrast enhancement for individual cells. The parameter enhances the result with a generic kernel which reacts to local contrast maxima with minimal spatial distance (two to five pixels). As a result, isolated lines are reduced and regions are filled with spatially dense contrasts.		\| Laplace texture \|\| ''Laplace texture'' \|\| <code>laplace</code> \|\| This structural feature uses the modified Laplace kernel for contrast enhancement for individual cells. The parameter enhances the result with a generic kernel which reacts to local contrast maxima with minimal spatial distance (two to five pixels). As a result, isolated lines are reduced and regions are filled with spatially dense contrasts.
	\|-		\|-
−	\| rowspan="2" \| ~~statistics~~ \|\| standard deviation \|\| ''standard deviation'' \|\| <code>stddev</code> \|\| By activating this option the standard deviation of all image pixels summarized in one cell of the first channel in the project information is calculated.	+	\| rowspan="2" \| Statistics \|\| standard deviation \|\| ''standard deviation'' \|\| <code>stddev</code> \|\| By activating this option the standard deviation of all image pixels summarized in one cell of the first channel in the project information is calculated.
	\|-		\|-
−	\| ~~variance~~ \|\| ''variance'' \|\| <code>variance</code> \|\| By activating this option the variance of all image pixels summarized in one cell of the first channel in the project information is calculated.	+	\| Variance \|\| ''variance'' \|\| <code>variance</code> \|\| By activating this option the variance of all image pixels summarized in one cell of the first channel in the project information is calculated.
	\|-		\|-
−	\| rowspan="4" \| ~~cell~~ geometry \|\| cell size \|\| rowspan="4" \| without GUI link\|\| <code>size</code> \|\| The size of one cell in image pixels of the most highly resolved input data channel.	+	\| rowspan="4" \| Cell geometry \|\| cell size \|\| rowspan="4" \| without GUI link\|\| <code>size</code> \|\| The size of one cell in image pixels of the most highly resolved input data channel.
	\|-		\|-
−	\| ~~cell~~ perimeter\|\| <code>perimeter</code> \|\| The perimeter of one cell in image pixels of the most highly resolved input data channel.	+	\| Cell perimeter\|\| <code>perimeter</code> \|\| The perimeter of one cell in image pixels of the most highly resolved input data channel.
	\|-		\|-
−	\| ~~cell~~ length\|\| <code>length</code> \|\| The length of a cell in image pixels of the most highly resolved input data channel.	+	\| Cell length\|\| <code>length</code> \|\| The length of a cell in image pixels of the most highly resolved input data channel.
	\|-		\|-
−	\| ~~cell~~ width\|\| <code>width</code> \|\| The width of a cell in image pixels of the most highly resolved input data channel.	+	\| Cell width\|\| <code>width</code> \|\| The width of a cell in image pixels of the most highly resolved input data channel.
	\|-		\|-
	\|}		\|}

Chr: /* Automatische Skalierung des Datentyps externer Datenebenen */

2011-08-29T15:07:41Z

Automatische Skalierung des Datentyps externer Datenebenen

← Older revision		Revision as of 15:07, 29 August 2011
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	A dataset which has already been established can be edited by clicking on the corresponding symbol. It is possible to change the identifier and modify the path of the source file.		A dataset which has already been established can be edited by clicking on the corresponding symbol. It is possible to change the identifier and modify the path of the source file.

−	===~~Automatische Skalierung des Datentyps externer Datenebenen~~===	+	===Automatic Scaling of the Data Type of External Data Levels===

−	ILMSImage ~~erlaubt nur Eingangsdaten, die im Byte-Wertebereich~~ (8bit, ~~Grauwert zwischen~~ 0 ~~und~~ 255) ~~vorliegen~~. ~~Wird bei der Definition einer externen Datenebene ein nicht kompatibler Layer ausgewählt~~, ~~so erkundigt sich~~ ILMSImage, ~~ob dieser automatisch auf den erlaubten Wertebereich skaliert werden soll. Ist zum Beispiel ein in~~ 16bit ~~vorliegender Teil einer~~ [http://en.wikipedia.org/wiki/RapidEye RapidEye]~~-Szene zu integrieren~~, ~~erscheint die folgende Benachrichtigung~~:	+	ILMSImage only allows input data which are available in the byte domain (8bit, gray level between 0 and 255). If a non-compatible layer is chosen during the definition of an external data level, ILMSImage asks if this layer is supposed to be scaled automatically on the acceptable domain. If, for example, a 16bit part of a [http://en.wikipedia.org/wiki/RapidEye RapidEye] scene is supposed to be integrated, the following message appears:

	[[Bild:ilms_img_qgis_work_25.png\|Benachrichtigung bei Integration eines Layers mit inkompatiblen Datentyp]]		[[Bild:ilms_img_qgis_work_25.png\|Benachrichtigung bei Integration eines Layers mit inkompatiblen Datentyp]]

−	~~Nach Bestätigung dieser Nachfrage wird der Datensatz auf den~~ 8bit-~~Wertebereich skaliert und~~ - ~~wiederum optional - zur visuellen Kontrolle in die Kartenansicht geladen~~.	+	When the request has been confirmed, the dataset is scaled on the 8bit domain and is loaded - optionally - into the map view for visual control.

	[[Bild:ilms_img_qgis_work_26.png\|800px\|Skalierter und auf das Untersuchungsgebiet zugeschnittener RapidEye-Datensatz nach Import als externe Datenebene]]		[[Bild:ilms_img_qgis_work_26.png\|800px\|Skalierter und auf das Untersuchungsgebiet zugeschnittener RapidEye-Datensatz nach Import als externe Datenebene]]

← Older revision		Revision as of 17:04, 30 November 2011
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	''ILMSImage Attribute Calculation'' is part of the [[Tutorial_ILMSImage#ILMSImage_Plug-in_for_QuantumGIS\|ILMSImage plug-in for QuantumGIS]] and is used for the derivation and calculation of cell-based attributes and for the integration of additional data layers.		''ILMSImage Attribute Calculation'' is part of the [[Tutorial_ILMSImage#ILMSImage_Plug-in_for_QuantumGIS\|ILMSImage plug-in for QuantumGIS]] and is used for the derivation and calculation of cell-based attributes and for the integration of additional data layers.

−	Similar to various ILMSImage panels it consisits of two components, ''[[~~ILMSImage_Cell_Creation_english~~#Part_1:_Information\|ILMSImage Project Information]]'' in the upper section and the actual tools in the lower section.	+	Similar to various ILMSImage panels it consisits of two components, ''[[ILMSImage_Cell_Creation#Part_1:_Information\|ILMSImage Project Information]]'' in the upper section and the actual tools in the lower section.

	[[Bild:ilms_img_qgis_work_15.png\|Das ILMSImage-Panel zur Berechnung von Zellattributen]]		[[Bild:ilms_img_qgis_work_15.png\|Das ILMSImage-Panel zur Berechnung von Zellattributen]]

← Older revision		Revision as of 08:12, 5 December 2011
Line 1:		Line 1:
	[[de:ILMSImage_Attribute_Calculation]]		[[de:ILMSImage_Attribute_Calculation]]
−	=[[~~Bild~~: ilms_img_attributes_icon.png\|50px\|<span title=""></span>]] ILMSImage Attribute Calculation=	+	=[[File: ilms_img_attributes_icon.png\|50px\|<span title=""></span>]] ILMSImage Attribute Calculation=

	==Introduction==		==Introduction==
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	Similar to various ILMSImage panels it consisits of two components, ''[[ILMSImage_Cell_Creation#Part_1:_Information\|ILMSImage Project Information]]'' in the upper section and the actual tools in the lower section.		Similar to various ILMSImage panels it consisits of two components, ''[[ILMSImage_Cell_Creation#Part_1:_Information\|ILMSImage Project Information]]'' in the upper section and the actual tools in the lower section.

−	[[~~Bild~~:ilms_img_qgis_work_15.png\|Das ILMSImage-Panel zur Berechnung von Zellattributen]]	+	[[File:ilms_img_qgis_work_15.png\|Das ILMSImage-Panel zur Berechnung von Zellattributen]]

	==Attribute Calculation==		==Attribute Calculation==
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	After the selected attributes have been calculated, they are summarized in a table and are available for additional analysis using ILMSImage. The user receives a note about the end of the process and a summary of the calculated attributes.		After the selected attributes have been calculated, they are summarized in a table and are available for additional analysis using ILMSImage. The user receives a note about the end of the process and a summary of the calculated attributes.

−	[[~~Bild~~:ilms_img_qgis_work_17.png\|Benachrichtigung bei Abschluss der Attributberechnung]]	+	[[File:ilms_img_qgis_work_17.png\|Benachrichtigung bei Abschluss der Attributberechnung]]

	===Export and Visualization of Cell-based Attributes===		===Export and Visualization of Cell-based Attributes===
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	For visual control the plug-in makes it possible to export selected attributes as raster layers after they have been calculated and to show them subsequently in the current QuantumGIS-Project. Consequently, the required attributes are selected and the process is started by clicking on ''Export/visualize attributes''. Then ILMSImage creates raster datasets of the attributes and stores them in the <code>exports</code> directory of the current ILMSImage project. The completion of the process is indicated to the user in a message window.		For visual control the plug-in makes it possible to export selected attributes as raster layers after they have been calculated and to show them subsequently in the current QuantumGIS-Project. Consequently, the required attributes are selected and the process is started by clicking on ''Export/visualize attributes''. Then ILMSImage creates raster datasets of the attributes and stores them in the <code>exports</code> directory of the current ILMSImage project. The completion of the process is indicated to the user in a message window.

−	[[~~Bild~~:ilms_img_qgis_work_18.png\|Benachrichtigung und Abfrage nach Abschluss des Attributexports]]	+	[[File:ilms_img_qgis_work_18.png\|Benachrichtigung und Abfrage nach Abschluss des Attributexports]]

	The window also offers the possibility of visualizing all exported attributes automatically. For this purpose the raster datasets are loaded into the current QuantumGIS project, relocated to the key group for ''ILMSImage Exports'' and their visualization is adapted by using a ''Standard Deviation Stretch''. The result is represented in a map view like this:		The window also offers the possibility of visualizing all exported attributes automatically. For this purpose the raster datasets are loaded into the current QuantumGIS project, relocated to the key group for ''ILMSImage Exports'' and their visualization is adapted by using a ''Standard Deviation Stretch''. The result is represented in a map view like this:

−	[[~~Bild~~:ilms_img_qgis_work_19.png\|800px\|Exportierte und in der Kartenansicht visualisierte Attributdatensätze]]	+	[[File:ilms_img_qgis_work_19.png\|800px\|Exportierte und in der Kartenansicht visualisierte Attributdatensätze]]

	If the corresponding prompt is denied, the exported attributes can be added to the current QuantumGIS project individually and separately by the user. In this case, the visualization has to be modified by the user as well.		If the corresponding prompt is denied, the exported attributes can be added to the current QuantumGIS project individually and separately by the user. In this case, the visualization has to be modified by the user as well.
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	In addition to the mentioned standard attributes, the external data layers can be integrated into the process of attribute calculation. For the integration basically every available dataset in raster form is suitable. In the integration within every layer and for every cell a mean value is calculated and finally added to the attribute table. This means that additional attributes correspond to the above-described '''basic attribute''' - with regard to the calculation ordinance – the only difference being that additional data layers do not influence cell creation since they are already completed. This function is therefore suitable for integrating additional multispectral levels (or combinations of these) which are required as attributes for additional analysis but not for a derivation of analysis areas, i.e. cells, into the work process. A simple example is the ''[http://earthobservatory.nasa.gov/Features/MeasuringVegetation/measuring_vegetation_2.php Normalized Vegetation Difference Index, NDVI]'' which is a measure for vegetation activity. It can be calculated using two channels which are in the visual field and in the close infrared field of the electromagnetic spectrum. As additional data layer a pixel-based NDVI picture is available. The following image shows areas of high vegetation activity in green colors and areas of low activity in yellow colors.		In addition to the mentioned standard attributes, the external data layers can be integrated into the process of attribute calculation. For the integration basically every available dataset in raster form is suitable. In the integration within every layer and for every cell a mean value is calculated and finally added to the attribute table. This means that additional attributes correspond to the above-described '''basic attribute''' - with regard to the calculation ordinance – the only difference being that additional data layers do not influence cell creation since they are already completed. This function is therefore suitable for integrating additional multispectral levels (or combinations of these) which are required as attributes for additional analysis but not for a derivation of analysis areas, i.e. cells, into the work process. A simple example is the ''[http://earthobservatory.nasa.gov/Features/MeasuringVegetation/measuring_vegetation_2.php Normalized Vegetation Difference Index, NDVI]'' which is a measure for vegetation activity. It can be calculated using two channels which are in the visual field and in the close infrared field of the electromagnetic spectrum. As additional data layer a pixel-based NDVI picture is available. The following image shows areas of high vegetation activity in green colors and areas of low activity in yellow colors.

−	[[~~Bild~~:ilms_img_qgis_work_20.png\|800px\|In die Kartenansicht geladener pixelbasierter NDVI-Datensatz]]	+	[[File:ilms_img_qgis_work_20.png\|800px\|In die Kartenansicht geladener pixelbasierter NDVI-Datensatz]]

	This dataset can now be defined as an external data layer - for this purpose it does not have to be loaded in QuantumGIS; it is sufficient to know the corresponding path. For the definition the corresponding field of the panel is used. The tool allows to define new external layers (1), edit existing layers (2) and delete external data layers from the project (3).		This dataset can now be defined as an external data layer - for this purpose it does not have to be loaded in QuantumGIS; it is sufficient to know the corresponding path. For the definition the corresponding field of the panel is used. The tool allows to define new external layers (1), edit existing layers (2) and delete external data layers from the project (3).

−	[[~~Bild~~:ilms_img_qgis_work_21.png\|Tool zur Definition und Bearbeitung externer Datenebenen]]	+	[[File:ilms_img_qgis_work_21.png\|Tool zur Definition und Bearbeitung externer Datenebenen]]

	In order to create a new external layer, a dialog box appears after clicking on the corresponding icon. It makes it possible to select the corresponding data source in the file system and assign an identifier. It should be noted that a unique identifier is selected which is not already used for other data layers or for one of the default attributes (see table above). For the example dataset of NDVI it looks like this:		In order to create a new external layer, a dialog box appears after clicking on the corresponding icon. It makes it possible to select the corresponding data source in the file system and assign an identifier. It should be noted that a unique identifier is selected which is not already used for other data layers or for one of the default attributes (see table above). For the example dataset of NDVI it looks like this:

−	[[~~Bild~~:ilms_img_qgis_work_22.png\|Definition einer neuen externen Datenebene]]	+	[[File:ilms_img_qgis_work_22.png\|Definition einer neuen externen Datenebene]]

	After the affirmation the dataset is copied to the project directory to allow ILMSImage exclusive access to the source files for cell creation in an analogous manner. If necessary, it is then adjusted to the test area. In order to allow for visual control, ILMSImage offers to load the results of these processes into the map view:		After the affirmation the dataset is copied to the project directory to allow ILMSImage exclusive access to the source files for cell creation in an analogous manner. If necessary, it is then adjusted to the test area. In order to allow for visual control, ILMSImage offers to load the results of these processes into the map view:

−	[[~~Bild~~:ilms_img_qgis_work_23.png\|Benachrichtigung nach Abschluss der Definition einer externen Datenebene]]	+	[[File:ilms_img_qgis_work_23.png\|Benachrichtigung nach Abschluss der Definition einer externen Datenebene]]

	After affirming the question, the external dataset is visualized using a ''Standard Deviation Stretch''; the range of colors for original data is not applied. Since this representation is only used for visual control, the corresponding dataset is deleted before carrying out an attribute calculation. Moreover, the generated additional level appears in in the corresponding list of the tool panel. In the following image an area of high vegetation activity is shown in light colors, areas of low activity are represented in dark colors:		After affirming the question, the external dataset is visualized using a ''Standard Deviation Stretch''; the range of colors for original data is not applied. Since this representation is only used for visual control, the corresponding dataset is deleted before carrying out an attribute calculation. Moreover, the generated additional level appears in in the corresponding list of the tool panel. In the following image an area of high vegetation activity is shown in light colors, areas of low activity are represented in dark colors:

−	[[~~Bild~~:ilms_img_qgis_work_24.png\|800px\|Zur visuellen Kontrolle geladener externer NDVI-Datensatz]]	+	[[File:ilms_img_qgis_work_24.png\|800px\|Zur visuellen Kontrolle geladener externer NDVI-Datensatz]]

	A dataset which has already been established can be edited by clicking on the corresponding symbol. It is possible to change the identifier and modify the path of the source file.		A dataset which has already been established can be edited by clicking on the corresponding symbol. It is possible to change the identifier and modify the path of the source file.
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	ILMSImage only allows input data which are available in the byte domain (8bit, gray level between 0 and 255). If a non-compatible layer is chosen during the definition of an external data level, ILMSImage asks if this layer is supposed to be scaled automatically on the acceptable domain. If, for example, a 16bit part of a [http://en.wikipedia.org/wiki/RapidEye RapidEye] scene is supposed to be integrated, the following message appears:		ILMSImage only allows input data which are available in the byte domain (8bit, gray level between 0 and 255). If a non-compatible layer is chosen during the definition of an external data level, ILMSImage asks if this layer is supposed to be scaled automatically on the acceptable domain. If, for example, a 16bit part of a [http://en.wikipedia.org/wiki/RapidEye RapidEye] scene is supposed to be integrated, the following message appears:

−	[[~~Bild~~:ilms_img_qgis_work_25.png\|Benachrichtigung bei Integration eines Layers mit inkompatiblen Datentyp]]	+	[[File:ilms_img_qgis_work_25.png\|Benachrichtigung bei Integration eines Layers mit inkompatiblen Datentyp]]

	When the request has been confirmed, the dataset is scaled on the 8bit domain and is loaded - optionally - into the map view for visual control.		When the request has been confirmed, the dataset is scaled on the 8bit domain and is loaded - optionally - into the map view for visual control.

−	[[~~Bild~~:ilms_img_qgis_work_26.png\|800px\|Skalierter und auf das Untersuchungsgebiet zugeschnittener RapidEye-Datensatz nach Import als externe Datenebene]]	+	[[File:ilms_img_qgis_work_26.png\|800px\|Skalierter und auf das Untersuchungsgebiet zugeschnittener RapidEye-Datensatz nach Import als externe Datenebene]]

	===Attribute Calculation Using External Data Layers===		===Attribute Calculation Using External Data Layers===
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	The defined external datasets are available for attribute calculation like the original source data did and are therefore treated like equivalent layers. This holds true for the actual calculation and the visualization of the calculated layers.		The defined external datasets are available for attribute calculation like the original source data did and are therefore treated like equivalent layers. This holds true for the actual calculation and the visualization of the calculated layers.

−	[[~~Bild~~:ilms_img_qgis_work_27.png\|Benachrichtigung nach Abschluss der Attributberechnung mit externen Zusatzebenen]]	+	[[File:ilms_img_qgis_work_27.png\|Benachrichtigung nach Abschluss der Attributberechnung mit externen Zusatzebenen]]

−	[[~~Bild~~:ilms_img_qgis_work_28.png\|Abfrage zur Visualisierung von mit Zusatzebenen berechneter Attribute]]	+	[[File:ilms_img_qgis_work_28.png\|Abfrage zur Visualisierung von mit Zusatzebenen berechneter Attribute]]

	===Deleting External Data Layers===		===Deleting External Data Layers===
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	In order to remove an external data layer from the project, it is selected from the list of all external layers and the appropriate symbol in the panel is clicked. ILMSImage then asks whether the related dataset should be deleted permanently, i.e. removed from the file system. This request refers only to a generated rush print of the external layer which was generated earlier in the project directory. The files which were originally used for the definition are ''not'' threatened with deletion.		In order to remove an external data layer from the project, it is selected from the list of all external layers and the appropriate symbol in the panel is clicked. ILMSImage then asks whether the related dataset should be deleted permanently, i.e. removed from the file system. This request refers only to a generated rush print of the external layer which was generated earlier in the project directory. The files which were originally used for the definition are ''not'' threatened with deletion.

−	[[~~Bild~~:ilms_img_qgis_work_29.png\|Abfrage beim Entfernen eines externen Layers aus dem ILMSImage-Projekt]]	+	[[File:ilms_img_qgis_work_29.png\|Abfrage beim Entfernen eines externen Layers aus dem ILMSImage-Projekt]]

	==Following Steps==		==Following Steps==

	After cell creation a typical ILMSImage process chain with derivation and calculation of cell attributes continues by using the panel [[ILMSImage Classification\|ILMSImage Classification]].		After cell creation a typical ILMSImage process chain with derivation and calculation of cell attributes continues by using the panel [[ILMSImage Classification\|ILMSImage Classification]].