From e71ddd791c5a81be2df40298dabc693131adfc42 Mon Sep 17 00:00:00 2001
From: Marina Bertolino <marina.bertolino@c-s.fr>
Date: Fri, 14 Apr 2017 16:16:26 +0200
Subject: [PATCH] DOC: update classification receipe for the unsupervised
classifier and contingency table
---
.../Cookbook/rst/recipes/pbclassif.rst | 18 ++++++++++++------
1 file changed, 12 insertions(+), 6 deletions(-)
diff --git a/Documentation/Cookbook/rst/recipes/pbclassif.rst b/Documentation/Cookbook/rst/recipes/pbclassif.rst
index 8de90bce37..9eaccd318a 100644
--- a/Documentation/Cookbook/rst/recipes/pbclassif.rst
+++ b/Documentation/Cookbook/rst/recipes/pbclassif.rst
@@ -4,10 +4,10 @@ Classification
Pixel based classification
--------------------------
-Orfeo ToolBox ships with a set of application to perform supervised
-pixel-based image classification. This framework allows to learn from
-multiple images, and using several machine learning method such as
-SVM, Bayes, KNN, Random Forests, Artificial Neural Network, and
+Orfeo ToolBox ships with a set of application to perform supervised or
+unsupervised pixel-based image classification. This framework allows
+to learn from multiple images, and using several machine learning method
+such as SVM, Bayes, KNN, Random Forests, Artificial Neural Network, and
others...(see application help of ``TrainImagesClassifier`` and
``TrainVectorClassifier`` for further details about all the available
classifiers). Here is an overview of the complete workflow:
@@ -347,8 +347,9 @@ using the ``TrainVectorClassifier`` application.
-feat band_0 band_1 band_2 band_3 band_4 band_5 band_6
The ``-classifier`` parameter allows to choose which machine learning
-model algorithm to train. Please refer to the
-``TrainVectorClassifier`` application reference documentation.
+model algorithm to train. You have the possibility to do the unsupervised
+classification,for it, you must to choose the Shark kmeans classifier.
+Please refer to the ``TrainVectorClassifier`` application reference documentation.
In case of multiple samples files, you can add them to the ``-io.vd``
parameter (see `Working with several images`_ section).
@@ -409,6 +410,11 @@ class too, based on the
`ConfusionMatrixCalculator <http://www.orfeo-toolbox.org/doxygen-current/classotb_1_1ConfusionMatrixCalculator.html>`_
class.
+If you have made an unsupervised classification, it must be specified
+to the ``ConputeConfusionMatrix`` application. In this case, a contingency table
+have to be create rather than a confusion matrix. For further details,
+see ``format`` parameter in the application help of *ConputeConfusionMatrix*.
+
::
otbcli_ComputeConfusionMatrix -in labeled_image.tif
--
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