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 ====== TerraAIDA Operators Documentation ====== ====== TerraAIDA Operators Documentation ======
-Operators reference version: 1.0.5+Operators reference version: 1.0.6
  
 InterIMAGE is a multi-platform framework, written in C++, currently with implementations for LINUX and Windows operational systems. Moreover, InterIMAGE provides support for the integration of image processing operators in the interpretation process and, as such operators are treated as external programs by its control mechanism, they can be coded in any computer language, and even in proprietary programs. The InterIMAGE framework offers, nonetheless, a repository of operators, called TerraAIDA ([[http://www.dpi.inpe.br/terraaida]]), assembled with software classes and functions supplied by the [[http://www.terralib.org/|TerraLib]] library. InterIMAGE is a multi-platform framework, written in C++, currently with implementations for LINUX and Windows operational systems. Moreover, InterIMAGE provides support for the integration of image processing operators in the interpretation process and, as such operators are treated as external programs by its control mechanism, they can be coded in any computer language, and even in proprietary programs. The InterIMAGE framework offers, nonetheless, a repository of operators, called TerraAIDA ([[http://www.dpi.inpe.br/terraaida]]), assembled with software classes and functions supplied by the [[http://www.terralib.org/|TerraLib]] library.
  
-===== TerraAIDA Arithmetic =====+ 
 + 
 +===== TA Arithmetic =====
  
 **Authors**  **Authors** 
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 | Polygons Min Area     | Integer | Generated polygons minimum allowed area (pixels).  |  | Only polygons with area greater than the supplied values will generate hypothesis. | | Polygons Min Area     | Integer | Generated polygons minimum allowed area (pixels).  |  | Only polygons with area greater than the supplied values will generate hypothesis. |
 | Dummy Value (no data)     | Floating point | The dummy value from input images. |  | If not present, all image data will be processed. | | Dummy Value (no data)     | Floating point | The dummy value from input images. |  | If not present, all image data will be processed. |
-| Arithmetic Expression     | String | One valid arithmetic expression, formed by a combination of the following elements, separated by spaces. | Operators: +, -, *, /, Real Numbers, Raster indexes and bands R0:1, R1:2 | Example: Quickbird-2 image with bands (0=B,1=G,2=R,3=NIR), the NDVI is calculated by ( R0:3 - R0:2 ) / ( R0:3 + R0:2 ). |+| Arithmetic Expression     | String | One valid arithmetic expression, formed by a combination of the following elements, separated by spaces. | Operators: +, -, *, /, Real Numbers, Raster indexes and bands R0:1, R1:2 | Example: Quickbird-2 image with bands (0=B,1=G,2=R,3=NIR), the NDVI is calculated by ( R0:3 - R0:2 ) / ( R0:3 + R0:2 ). **The blank space around the mathematical operators +, -, *, / are mandatory.** |
 | Morphological Filter Iterations | Integer | Number of morphological (mode) iterations applied to the result. | Greater or equal to 0. | The use of a value greater than or equal to 1 is advised to avoid the creation of to small hypothesis | | Morphological Filter Iterations | Integer | Number of morphological (mode) iterations applied to the result. | Greater or equal to 0. | The use of a value greater than or equal to 1 is advised to avoid the creation of to small hypothesis |
 | Training Set File | *.shp | A file with training samples for supervised classification. | The file must be in the InterIMAGE region format. | | | Training Set File | *.shp | A file with training samples for supervised classification. | The file must be in the InterIMAGE region format. | |
 | Decision Rule | Decision Rule | Decision rule applied to the generated hypothesis. | | Leave blank to accept all generated hypothesis. | | Decision Rule | Decision Rule | Decision rule applied to the generated hypothesis. | | Leave blank to accept all generated hypothesis. |
-| Node Weight     | Floating point | This node weight (higher priority will be given to nodes with higher weights in cases where there are geographic overlays).  | [0.0, 1.0] |  |+| Reliability     | Floating point | The reliability (higher priority will be given to nodes with higher weights in cases where there are geographic overlays).  | [0.0, 1.0] |  |
 | Non Class Name  | String | If Multi-Class support is active, the discarded hypothesis will fall in the node named by this parameter. | One string with the name of some node in the tree, in the same level. | | | Non Class Name  | String | If Multi-Class support is active, the discarded hypothesis will fall in the node named by this parameter. | One string with the name of some node in the tree, in the same level. | |
  
-===== TerraAIDA Baatz Segmenter =====+===== TA Baatz Segmenter =====
  
 **Authors**  **Authors** 
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 ** Reference** ** Reference**
  
-  * Baatz, M.; Schäpe, A. Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation. In: XII Angewandte Geographische Informationsverarbeitung, Wichmann Verlag, Heidelberg, 2000.+  * [[http://www.ecognition.cc/download/baatz_schaepe.pdf|Baatz, M.; Schäpe, A. Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation. In: XII Angewandte Geographische Informationsverarbeitung, Wichmann Verlag, Heidelberg, 2000.]]
  
 **Processing sequence** **Processing sequence**
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 | Training Set File | *.shp | A file with training samples for supervised classification. | The file must be in the InterIMAGE regions format. | | | Training Set File | *.shp | A file with training samples for supervised classification. | The file must be in the InterIMAGE regions format. | |
 | Decision Rule | Decision Rule | Decision rule applied to the generated hypothesis.  |  | Leave blank to accept all generated hypothesis. | | Decision Rule | Decision Rule | Decision rule applied to the generated hypothesis.  |  | Leave blank to accept all generated hypothesis. |
-| Node Weight     | Floating point | This node weight (higher priority will be given to nodes with higher weights in cases where there are geographic overlays).  | [0.0, 1.0] |  |+| Reliability     | Floating point | The reliability (higher priority will be given to nodes with higher weights in cases where there are geographic overlays).  | [0.0, 1.0] |  |
 | Euclidean Distance Threshold | Floating point   | The minimum Euclidean Distance between each segment feature. | Greater than 0.  | This parameter is required to merge adjacent block segments when the optimization option is enabled | | Euclidean Distance Threshold | Floating point   | The minimum Euclidean Distance between each segment feature. | Greater than 0.  | This parameter is required to merge adjacent block segments when the optimization option is enabled |
- +===== TA Bottom-Up Export =====
-===== TerraAIDA Bottom-Up Export =====+
  
 **Author**  **Author** 
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 {{ interimage:buexport.png }} {{ interimage:buexport.png }}
  
-===== TerraAIDA C4.5 Classifier =====+===== TA C4.5 Classifier =====
  
 **Author**  **Author** 
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 One example of this operator can be found [[interimage:examples:supervised_c45|here]]. One example of this operator can be found [[interimage:examples:supervised_c45|here]].
  
-===== TerraAIDA Checkerboard Segmenter =====+ 
 + 
 + 
 +===== TA Checkerboard Segmenter =====
  
 **Author**  **Author** 
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 ^ Parameter Name  ^ Type            ^ Description               ^   Valid Values      ^   Note   ^    ^ Parameter Name  ^ Type            ^ Description               ^   Valid Values      ^   Note   ^   
-| Number of grid lines | Integer         | Number of lines to divide the image.   | Greater than zero.  |          | +| Number of grid lines | Integer   | Number of lines to divide the image.   | Greater than zero.  |          | 
-| Number of grid columns | Integer         | Number of columns to divide the image.   | Greater than zero.  |          | +| Number of grid columns | Integer | Number of columns to divide the image.   | Greater than zero.  |          | 
-| Node Weight     | Floating point | This node weight (higher priority will be given to nodes with higher weights in cases where there are geographic overlays). | [0.0, 1.0] |  |+| Amount of points in X | Integer | Number of pixels per cell in X dimension.   | Greater than zero.  |          | 
 +| Amount of points in Y | Integer | Number of pixels per cell in Y dimension.     | Greater than zero.  |          | 
 +| Reliability     | Floating point | The reliability (higher priority will be given to nodes with higher weights in cases where there are geographic overlays). | [0.0, 1.0] |  | 
  
-===== TerraAIDA NDVI Segmenter =====+===== TA NDVI Segmenter =====
  
 **Authors**  **Authors** 
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 | Training Set File | *.shp | A file with training samples for supervised classification. | The file must be in the InterIMAGE regions format. | | | Training Set File | *.shp | A file with training samples for supervised classification. | The file must be in the InterIMAGE regions format. | |
 | Decision Rule | Decision Rule | Decision rule applied to the generated hypothesis. | | Leave blank to accept all generated hypothesis. | | Decision Rule | Decision Rule | Decision rule applied to the generated hypothesis. | | Leave blank to accept all generated hypothesis. |
-| Node Weight | Floating point | This node weight (higher priority will be given to nodes with higher weights in cases where there are geographic overlays). | [0.0, 1.0] |  |+| Reliability     | Floating point | The reliability (higher priority will be given to nodes with higher weights in cases where there are geographic overlays). | [0.0, 1.0] |  |
 | Non Class Name  | String | If Multi-Class support is active, the discarded hypothesis will fall in the node named by this parameter. | One string with the name of some node in the tree, in the same level. | | | Non Class Name  | String | If Multi-Class support is active, the discarded hypothesis will fall in the node named by this parameter. | One string with the name of some node in the tree, in the same level. | |
  
-===== TerraAIDA Region Growing Segmenter =====+===== TA Region Growing Segmenter =====
  
 **Authors**  **Authors** 
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 | Training Set File | *.shp | A file with training samples for supervised classification. | The file must be in the InterIMAGE regions format. | | | Training Set File | *.shp | A file with training samples for supervised classification. | The file must be in the InterIMAGE regions format. | |
 | Decision Rule | Decision Rule | Decision rule applied to the generated hypothesis.  |  | Leave blank to accept all generated hypothesis. | | Decision Rule | Decision Rule | Decision rule applied to the generated hypothesis.  |  | Leave blank to accept all generated hypothesis. |
-| Node Weight | Floating point | This node weight (higher priority will be given to nodes with higher weights in cases where there are geographic overlays).  | [0.0, 1.0] |  |+| Reliability     | Floating point | The reliability (higher priority will be given to nodes with higher weights in cases where there are geographic overlays).  | [0.0, 1.0] |  |
  
 ** Segmentation Example** ** Segmentation Example**
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-===== TerraAIDA ShapeFile Import =====+===== TA ShapeFile Import =====
  
 **Authors**  **Authors** 
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 | Training Set File | *.shp | A file with training samples for supervised classification. | The file must be in the InterIMAGE region format. | | | Training Set File | *.shp | A file with training samples for supervised classification. | The file must be in the InterIMAGE region format. | |
 | Decision Rule     | Decision rule | Decision rule applied to the generated hypothesis.  |  | Leave blank to accept all generated hypothesis. | | Decision Rule     | Decision rule | Decision rule applied to the generated hypothesis.  |  | Leave blank to accept all generated hypothesis. |
-| Node Weight     | Floating point | This node weight (higher priority will be given to nodes with higher weights in cases where there are geographic overlays).  | [0.0, 1.0] |  |+| Reliability     | Floating point | The reliability (higher priority will be given to nodes with higher weights in cases where there are geographic overlays).  | [0.0, 1.0] |  |
  
 {{ :interimage:shape_file_import_example.png }} {{ :interimage:shape_file_import_example.png }}
  
-===== TerraAIDA ShapeFile Intersection =====+===== TA ShapeFile Intersection =====
  
 **Authors**  **Authors** 
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 | Training Set File | *.shp | A file with training samples for supervised classification. | The file must be in the InterIMAGE regions format. | | | Training Set File | *.shp | A file with training samples for supervised classification. | The file must be in the InterIMAGE regions format. | |
 | Decision Rule | Decision Rule | Decision rule applied to the generated hypothesis. | | Leave blank to accept all generated hypothesis. | | Decision Rule | Decision Rule | Decision rule applied to the generated hypothesis. | | Leave blank to accept all generated hypothesis. |
-| Node Weight | Floating point | This node weight (higher priority will be given to nodes with higher weights in cases where there are geographic overlays).  | [0.0, 1.0] |  |+| Reliability     | Floating point | The reliability (higher priority will be given to nodes with higher weights in cases where there are geographic overlays).  | [0.0, 1.0] |  |
 | Non Class Name  | String | If Multi-Class support is active, the discarded hypothesis will fall in the node named by this parameter. | One string with the name of some node in the tree, in the same level. | | | Non Class Name  | String | If Multi-Class support is active, the discarded hypothesis will fall in the node named by this parameter. | One string with the name of some node in the tree, in the same level. | |
  
 {{ :interimage:shape_file_intersection_example.png }} {{ :interimage:shape_file_intersection_example.png }}
interimage/operators_documentation.1283801053.txt.gz · Última modificação: 2010/09/06 19:24 por tkorting