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interimage:operators_documentation [2010/09/06 19:24] – tkortinginterimage:operators_documentation [2010/09/10 15:20] – tkorting
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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] |  |
 | 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. | |
  
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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 |
  
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 | 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] |  |+| 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 ===== ===== TerraAIDA NDVI Segmenter =====
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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. | |
  
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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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 | 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 }}
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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.txt · Última modificação: 2016/08/05 14:44 por tkorting