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--- interimage:examples [2011/01/10 15:21] – rsilva
+++ interimage:examples [2014/03/18 11:07] (atual) – rsilva
@@ Linha 2: / Linha 2: @@
 Here we show how to create some basic and advanced interpretation projects, step by step.
@@ Linha 8: / Linha 9: @@
 ===== Basic =====
-All basic examples work with the following image:
+These projects were successfully tested under InterIMAGE 1.27.
-{{:interimage:examples:input_image.png}}
+  * [[interimage:examples:example1|Example 1 - Performing a segmentation]]
+  * [[interimage:examples:example2|Example 2 - Performing an intra-regions segmentation]]
+  * [[interimage:examples:example3|Example 3 - Performing a supervised classification]]
+  * [[interimage:examples:example4|Example 4 - Performing a thresholding]]
+  * [[interimage:examples:example5|Example 5 - Debugging and exploration of attributes]]
+  * {{:pass_attr_higher_level.zip}} - This example shows how to aggregate an attribute (average, count, sum etc.) from a lower level to a higher level in the semantic network. In this example, we have a blocks shapefile and we perform a segmentation within each block (like we did in [[interimage:examples:example2|Example 2]]). After that, we count the number of segments in the lower level (segmentation) and pass this value to the higher level (blocks).
-**These projects were successfully tested under InterIMAGE version 1.21 and lower.**
-The following links contain basic interpretation examples intended to help new users.
-  * [[interimage:examples:rule_based_classification|Rule-Based Classification]]
-  * [[interimage:examples:multiresolution_segmentation|Multiresolution Segmentation]]
-  * [[interimage:examples:supervised_c45|Supervised Classification Using Decision Trees]]
+===== BREC Operators =====
+  * {{:classification.zip}}
+  * {{:raster_regularization.zip}}
+  * {{:vector_regularization.zip}}
+  * {{:road_extraction.zip}}
+  * {{:crossing_detection.zip}}
 ===== Advanced =====
 The following links contain advanced interpretation examples.
   * [[interimage:examples:example_landcover|Example of Land-Cover Classification]]