MRG

CTestConfig.cmake

-SET(CTEST_PROJECT_NAME "OTB")
-SET(CTEST_NIGHTLY_START_TIME "00:00:00 EST")
+## This file should be placed in the root directory of your project.
+## Then modify the CMakeLists.txt file in the root directory of your
+## project to incorporate the testing dashboard.
+## # The following are required to uses Dart and the Cdash dashboard
+##   ENABLE_TESTING()
+##   INCLUDE(Dart)
+set(CTEST_PROJECT_NAME "OTB")
+set(CTEST_NIGHTLY_START_TIME "20:00:00 CEST")
 
-IF(NOT DEFINED CTEST_DROP_METHOD)
-  SET(CTEST_DROP_METHOD "http")
-ENDIF(NOT DEFINED CTEST_DROP_METHOD)
-
-IF(CTEST_DROP_METHOD STREQUAL "http")
-  SET(CTEST_DROP_SITE "www.orfeo-toolbox.org")
-  SET(CTEST_DROP_LOCATION "/Dashboard/submit.php?project=OTB")
-  SET(CTEST_TRIGGER_SITE "")
-ENDIF(CTEST_DROP_METHOD STREQUAL "http")
+set(CTEST_DROP_METHOD "http")
+set(CTEST_DROP_SITE "www.orfeo-toolbox.org")
+set(CTEST_DROP_LOCATION "/Dashboard/submit.php?project=OTB")
+set(CTEST_DROP_SITE_CDASH TRUE)

Code/Common/otbPolyLineParametricPathWithValue.h

@@ -67,7 +67,7 @@ class ITK_EXPORT PolyLineParametricPathWithValue
 
  ValueType GetValue(void)
  {
-    ValueType resp;
+   ValueType resp = itk::NumericTraits<ValueType>::Zero;
    itk::MetaDataDictionary & dict = this->GetMetaDataDictionary();
    if(dict.HasKey(m_Key))
    {

Code/DisparityMap/otbNCCRegistrationFilter.h

@@ -56,11 +56,12 @@ namespace otb {
  * \warning This filter assumes that the fixed image type, moving image type
  * and deformation field type all have the same number of dimensions.
  * 
+ * \sa NCCRegistrationFunction 
+ * \ingroup DeformableImageRegistration MultiThreaded
+ *
  * \example  DisparityMap/NCCRegistrationFilterExample.cxx
  * 
  * 
- * \sa NCCRegistrationFunction 
- * \ingroup DeformableImageRegistration MultiThreaded
  */
 template<class TFixedImage, class TMovingImage, class TDeformationField>
 class ITK_EXPORT NCCRegistrationFilter : 

Code/FeatureExtraction/otbRemoveTortuousPathListFilter.h

@@ -28,11 +28,13 @@ namespace otb
  *  A path is considered to be tortuous if the mean distance between each consecutive vertices
  *  is lower than the user provided threshold.
  *
-  *
-  * \example FeatureExtraction/ExtractRoadByStepsExample.cxx
-  *
  * \sa BreakAngularPathListFilter
  * \sa SimplifyPathFilter
+ *
+ *
+   *
+   * \example FeatureExtraction/ExtractRoadByStepsExample.cxx
+   *
  */
 template <class TPath>
 class ITK_EXPORT RemoveTortuousPathListFilter

Code/FeatureExtraction/otbRemoveWrongDirectionFilter.h

@@ -29,10 +29,11 @@ namespace Functor
     /** \class RemoveWrongDirectionFunctor
      *  \brief This functor is used by the RemoveWrongDirectionFilter
      *
-     * \example FeatureExtraction/ExtractRoadByStepsExample.cxx
-     *
      *  \sa RemoveWrongDirectionFilter
      *  \ingroup Functor
+     *
+     * \example FeatureExtraction/ExtractRoadByStepsExample.cxx
+     *
      */
     template <class TInput1, class TInput2, class TOutput>
       class RemoveWrongDirectionFunctor

Code/FeatureExtraction/otbRoadExtractionFilter.h

@@ -52,11 +52,11 @@ namespace otb
  * 1000 \f$ \times \f$ 1000 images with four spectral bands. Results can be
  * used as an initialization for more complex algorithms.
  *
+ * \sa SpectralAngleDistanceImageFilter
+ * \sa GenericRoadExtractionFilter
  *
  * \example FeatureExtraction/ExtractRoadExample.cxx
  *
- * \sa SpectralAngleDistanceImageFilter
- * \sa GenericRoadExtractionFilter
  */
 template <class TInputImage, class TOutputPath>
   class ITK_EXPORT RoadExtractionFilter

Code/FeatureExtraction/otbSimplifyPathListFilter.h

@@ -39,11 +39,11 @@ namespace otb
  *
  *  This filter is part of the road extraction framework.
  *
+ * \sa BreakAngularPathListFilter
+ * \sa RemoveTortuousPathFilter.
    *
    * \example FeatureExtraction/ExtractRoadByStepsExample.cxx
    *
- * \sa BreakAngularPathListFilter
- * \sa RemoveTortuousPathFilter.
  */
 template <class TPath>
 class ITK_EXPORT SimplifyPathListFilter

Code/Fusion/otbBayesianFusionFilter.h

@@ -132,9 +132,6 @@ namespace otb
    * Bayesian Data Fusion for Adaptable Image Pansharpening,
    * Transactions on Geoscience and Remote Sensing, 
    * vol. 46, n. 6, 2007, pp 1847-1857
-   * 
-   * \example Fusion/BayesianFusionImageFilter.cxx
-   * 
    *
    * \sa FusionImageBase
    * \sa MatrixTransposeMatrix
@@ -145,6 +142,10 @@ namespace otb
    * 
    * \ingroup Fusion
    * 
+   * 
+   * \example Fusion/BayesianFusionImageFilter.cxx
+   * 
+   *
    */
 
 

Code/Fusion/otbSimpleRcsPanSharpeningFusionImageFilter.h

@@ -37,12 +37,13 @@ namespace otb {
    * 
    * \f[ \frac{XS}{\mathrm{Filtered}(PAN)} PAN  \f]
    *
-   * \example Fusion/PanSharpeningExample.cxx
-   *
    * \ingroup Streamed
    * \ingroup Multithreaded
    * \ingroup Fusion
-   * 
+   *
+   *
+   * \example Fusion/PanSharpeningExample.cxx
+   *
    **/
 
   template <class TPanImageType,class TXsImageType,class TOutputImageType>

Code/IO/otbDEMToImageGenerator.h

@@ -39,10 +39,11 @@ namespace otb
    * This class is based on ossimElevManager. It takes in input the UL and LR geographic coordinates and the spacing.
    * Handle DTED and SRTM formats.
    *
-   * \example IO/DEMToImageGenerator.cxx
-   *
    * \ingroup Images
    *
+   *
+   * \example IO/DEMToImageGenerator.cxx
+   *
    */
   template <class TDEMImage>
     class ITK_EXPORT DEMToImageGenerator: 

Code/IO/otbGDALImageIO.cxx

@@ -200,7 +200,7 @@ namespace otb
     std::streamoff lNbPixels = (static_cast<std::streamoff>(lNbColumns))*(static_cast<std::streamoff>(lNbLines));
     std::streamoff lTailleBuffer = static_cast<std::streamoff>(m_NbOctetPixel)*lNbPixels;
 
-    otbMsgDevMacro( <<" Allocation buff tempon taille : "<<lNbPixels<<"*"<<m_NbOctetPixel<<" (NbOctetPixel) = "<<lTailleBuffer);
+    otbMsgDevMacro( <<" Allocation buff size : "<<lNbPixels<<"*"<<m_NbOctetPixel<<" (NbOctetPixel) = "<<lTailleBuffer);
     otbMsgDevMacro( <<" sizeof(streamsize)    : "<<sizeof(std::streamsize));
     otbMsgDevMacro( <<" sizeof(streampos)     : "<<sizeof(std::streampos));
     otbMsgDevMacro( <<" sizeof(streamoff)     : "<<sizeof(std::streamoff));

Code/IO/otbSpatialObjectDXFReader.h

@@ -26,9 +26,10 @@ namespace otb
   /** \class SpatialObjectDXFReader
    *  \brief This class reads the DXF file format to SpatialObjects.
    *
+   *  \ingroup ObjectSource
+   *
    * \example IO/DXFReaderExample.cxx
    *
-   *  \ingroup ObjectSource
    */
 template <class TSpatialObject>
 class ITK_EXPORT SpatialObjectDXFReader 

Code/Markov/otbMRFEnergy.h

@@ -30,6 +30,8 @@ namespace otb
    *  
    * Derived class must reimplement the GetSingleValue() method.
    * 
+   * This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter
+   *
    * \ingroup Markov
    */
 template< class TInput1, class TInput2 >

Code/Markov/otbMRFEnergyEdgeFidelity.h

@@ -37,6 +37,8 @@ namespace otb
  * - \f$ \Phi \f$ an edge preserving function: 
  *     \f[ \Phi(u) = \frac{u^2}{1+u^2} \f]
  * 
+   * This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter
+ *
  * \ingroup Markov
 */
   

Code/Markov/otbMRFEnergyGaussian.h

@@ -39,7 +39,9 @@ namespace otb
  * with
  * - \f$ x_s \f$ the label on site s
  * - \f$ y_s \f$ the value on the reference image
- * 
+   * 
+   * This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter
+   *
  * \ingroup Markov
  */
   

Code/Markov/otbMRFEnergyGaussianClassification.h

@@ -36,7 +36,9 @@ namespace otb
  * - \f$ x_s \f$ the label on site s
  * - \f$ y_s \f$ the value on the reference image
  * - \f$ \mu_{x_s} \f$ and \f$ \sigma^2_{x_s} \f$ the mean and variance of label \f$ x_s \f$
- * 
+   * 
+   * This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter
+   *
  * \ingroup Markov
  */
   

Code/Markov/otbMRFEnergyPotts.h

@@ -35,7 +35,9 @@ namespace otb
  * - \f$ x_s \f$ the label on site s
  * - \f$ y_s \f$ the value on the reference image
  * - \f$ \sigma^2_{x_s} \f$ the noise variance
- * 
+   * 
+   * This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter
+   *
  * \ingroup Markov
  */
   

Code/Markov/otbMRFOptimizer.h

@@ -29,7 +29,9 @@ namespace otb
  * \brief This is the base class for optimizer used in the MRF framework.
  *
  * Derived class must reimplement Compute() method.
- * 
+   * 
+   * This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter
+   *
  * \ingroup Markov
  */
 

Code/Markov/otbMRFOptimizerICM.h

@@ -29,7 +29,9 @@ namespace otb
  *  
  * This is one optimizer to be used in the MRF framework. This optimizer 
  * follows the ICM algorithm to accept of reject the value proposed by the sampler
- * 
+   * 
+   * This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter
+   *
  * \ingroup Markov
  */
 class ITK_EXPORT MRFOptimizerICM : public MRFOptimizer

Code/Markov/otbMRFOptimizerMetropolis.h

@@ -38,6 +38,8 @@ namespace otb
    *  \f[ e^{\frac{-\Delta E}{T}} \f]
    * 
    * 
+   * This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter
+   *
    * \ingroup Markov
    */
   

Code/Markov/otbMRFSampler.h

@@ -30,6 +30,8 @@ namespace otb
    * Derived class must reimplement Compute() method.
    *
    * 
+   * This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter
+   *
    * \ingroup Markov
  */
     

Code/Markov/otbMRFSamplerMAP.h

@@ -31,6 +31,8 @@ namespace otb
    * value which maximizes the apriori probability (minimum energy).
    *
    * 
+   * This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter
+   *
    * \ingroup Markov
  */
 

Code/Markov/otbMRFSamplerRandom.h

@@ -32,6 +32,8 @@ namespace otb
    * value randomly according to a uniform probability.
    * 
    * 
+   * This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter
+   *
    * \ingroup Markov
  */
   

Code/Markov/otbMRFSamplerRandomMAP.h

@@ -38,6 +38,8 @@ namespace otb
    * where \f$ Z = \sum_x \exp^{-U(x)}\f$
    * 
    * 
+   * This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter
+   *
    * \ingroup Markov
  */
   

Code/Markov/otbMarkovRandomFieldFilter.h

@@ -72,13 +72,14 @@ namespace otb
    *   markovFilter->SetSampler(sampler);
    * \endcode
    * 
+   * 
+   * \ingroup Markov
+   *
    * \example  Markov/MarkovClassification1Example.cxx
    * \example  Markov/MarkovClassification2Example.cxx
    * \example  Markov/MarkovRegularizationExample.cxx
    * \example  Markov/MarkovRestaurationExample.cxx
    *
-   * 
-   * \ingroup Markov
    */
   
 template <class TInputImage, class TClassifiedImage>

RELEASE_NOTES.txt

+OTB-v.2.6.0 - Changes since version 2.4.0 (2008/10/31)
+-----------------------------------------
+
+* System
+	- GCC 4.3 compatibility
+	- ITK version updated to 3.8
+	- FLTK version updated to 1.1.9
+	- OpenThreads library added
+	- Expat library added
+
+* Library
+	- SAR Polarimetry synthesis classes
+	- Kullback Leibler supervised change detection
+	- KML support
+	- Gabor filters implementation
+	- Optimized convolution using FFT
+	- CNES RAD format support
+	- NCC and MI registration filters for diparity map estimation
+
+* Applications
+	- Object segmentation application
+	- Feature extraction application
+	- Land Cover Map application
+	- SAR polarimentrix synthesis application
+	- 3D & stereo anaglyh viewer application
+
+
 OTB-v.2.4.0 - Changes since version 2.2.0 (2008/07/24)
 -----------------------------------------