DOC: spell checker passed ok

Documentation/SoftwareGuide/Latex/WriteAnApplication.tex

@@ -163,7 +163,7 @@ If you derive this class to implement application C, you will be able to create
 Like with standard applications, you have to write a \code{DoInit()} function. In this function,
 you should first clean any internal application with the function \code{ClearApplications()}
 (the \code{DoInit()} function is called twice in some cases). Then you can
-instanciate the internal applications that you want to use (for instance A and B).
+instantiate the internal applications that you want to use (for instance A and B).
 The function \code{AddApplication()} will do that, based on :
 \begin{itemize}
 \item The application type (i.e. its official name, such as ExtractROI, BandMath, \dots)
@@ -221,7 +221,7 @@ types. Let say you want to connect parameter \code{a.out} to parameter \code{b.i
 The "Connect()" function may work in favorable cases (see previous paragraph),
 but for images, you have two options :
 \begin{itemize}
-\item Explicitely copy the image pointer from the output image parameter in the input
+\item Explicitly copy the image pointer from the output image parameter in the input
 image parameter (with functions \code{SetParameterInputImage()} and
 \code{GetParameterOutputImage()}). It will connect the pipelines in applications
 A and B, to form an "in-memory" connexion. This has to be done between the calls

Modules/Applications/AppClassification/include/otbTrainVectorBase.h

@@ -95,7 +95,7 @@ protected:
   };
 
   /**
-   * Features information class used to store informations
+   * Features information class used to store information
    * about the field and class name/id of an input vector
    */
   class FeaturesInfo

Modules/Applications/AppClassification/include/otbTrainVectorBase.txx

@@ -75,7 +75,7 @@ void TrainVectorBase::DoInit()
   // Add a new parameter to compute confusion matrix / contingency table
   AddParameter( ParameterType_OutputFilename, "io.confmatout", "Output confusion matrix or contingency table" );
   SetParameterDescription( "io.confmatout", "Output file containing the confusion matrix or contingency table (.csv format)."
-          "The contingency table is ouput when we unsupervised algorithms is used otherwise the confusion matrix is output." );
+          "The contingency table is output when we unsupervised algorithms is used otherwise the confusion matrix is output." );
   MandatoryOff( "io.confmatout" );
 
 

Modules/Applications/AppDimensionalityReduction/app/otbDimensionalityReduction.cxx

@@ -94,7 +94,7 @@ private:
     SetName("DimensionalityReduction");
     SetDescription("Perform Dimension reduction of the input image.");
     SetDocName("Dimensionality reduction");
-    SetDocLongDescription("Performs dimensionality reduction on input image. PCA,NA-PCA,MAF,ICA methods are available. It is also possible to compute the inverse transform to reconstruct the image. It is also possible to optionnaly export the transformation matrix to a text file.");
+    SetDocLongDescription("Performs dimensionality reduction on input image. PCA,NA-PCA,MAF,ICA methods are available. It is also possible to compute the inverse transform to reconstruct the image. It is also possible to optionally export the transformation matrix to a text file.");
     SetDocLimitations("This application does not provide the inverse transform and the transformation matrix export for the MAF.");
     SetDocAuthors("OTB-Team");
     SetDocSeeAlso(

Modules/Applications/AppSARUtils/app/otbComputeModulusAndPhase.cxx

@@ -65,7 +65,7 @@ private:
     SetDocName("Compute Modulus And Phase");
     SetDocLongDescription(
       "This application computes the modulus and the phase of a "
-      "complex SAR image. The input shoud be a single band image with "
+      "complex SAR image. The input should be a single band image with "
       "complex pixels."
     );
     SetDocLimitations("None");

Modules/Feature/Textures/include/otbScalarImageToAdvancedTexturesFilter.h

@@ -214,7 +214,7 @@ protected:
   ScalarImageToAdvancedTexturesFilter();
   /** Destructor */
   ~ScalarImageToAdvancedTexturesFilter() ITK_OVERRIDE;
-  /** Generate the output informations */
+  /** Generate the output information */
   void GenerateOutputInformation() ITK_OVERRIDE;
   /** Generate the input requested region */
   void GenerateInputRequestedRegion() ITK_OVERRIDE;

Modules/Feature/Textures/include/otbScalarImageToHigherOrderTexturesFilter.h

@@ -201,7 +201,7 @@ protected:
   ScalarImageToHigherOrderTexturesFilter();
   /** Destructor */
   ~ScalarImageToHigherOrderTexturesFilter() ITK_OVERRIDE;
-  /** Generate the output informations */
+  /** Generate the output information */
   void GenerateOutputInformation() ITK_OVERRIDE;
   /** Generate the input requested region */
   void GenerateInputRequestedRegion() ITK_OVERRIDE;

Modules/Feature/Textures/include/otbScalarImageToTexturesFilter.h

@@ -210,7 +210,7 @@ protected:
   ScalarImageToTexturesFilter();
   /** Destructor */
   ~ScalarImageToTexturesFilter() ITK_OVERRIDE;
-  /** Generate the output informations */
+  /** Generate the output information */
   void GenerateOutputInformation() ITK_OVERRIDE;
   /** Generate the input requested region */
   void GenerateInputRequestedRegion() ITK_OVERRIDE;

Modules/Filtering/Statistics/include/otbLocalHistogramImageFunction.h

@@ -35,7 +35,7 @@ namespace otb
  * This image function computes the local histogram of the pixels lying
  * in a circular neighborhood around the given position.
  *
- * Pixel count can be optionnaly weighted by a gaussian kernel with
+ * Pixel count can be optionally weighted by a gaussian kernel with
  * \f$ \sigma = 0.5 radius \f$ so that pixel far from the center position
  * account less in the histogram than pixel near the center position.
  * This option can be deactivated using the GaussianSmoothing flag.

Modules/Filtering/Wavelet/include/otbWaveletsBandsListToWaveletsSynopsisImageFilter.h

@@ -72,7 +72,7 @@ protected:
 
   /** GenerateOutputInformation
    * Set the number of bands of the output.
-   * Copy informations from the first image of the list if existing.
+   * Copy information from the first image of the list if existing.
    **/
   virtual void GenerateOutputInformation(void);
 

Modules/Learning/DempsterShafer/include/otbMassOfBelief.h

@@ -71,7 +71,7 @@ namespace otb
  *  has been associated. This method returns a LabelSetOfSetType,
  *  which is a std::set<std::set<TLabel> >.
  *
- *  The mass function can be optionnaly initialized from a given
+ *  The mass function can be optionally initialized from a given
  *  universe set by building the power-set and associating a null mass
  *  with every elements of this power-set. This allows ensuring that
  *  two mass functions will share the exact same universe and

Modules/Learning/LearningBase/include/otbMachineLearningModel.h

@@ -38,7 +38,7 @@ namespace otb
  * The main generic virtual methods specifically implemented in each classifier
  * derived from the MachineLearningModel class are two learning-related methods:
  * Train() and Save(), and three classification-related methods: Load(),
- * DoPredict() and optionnaly DoPredictBatch().
+ * DoPredict() and optionally DoPredictBatch().
  *
  * Thus, each classifier derived from the MachineLearningModel class
  * computes its corresponding model with Train() and exports it with

Modules/Radiometry/Simulation/include/otbDataSpecP5B.h

@@ -43,7 +43,7 @@ namespace otb
  * Environment
  * The specific absorption coefficient corresponding to brown pigment is
  * provided by Frederic Baret (EMMAH, INRA Avignon, baret@avignon.inra.fr)
- * and used with his autorization.
+ * and used with his authorization.
  */
 
 struct DataSpec

Modules/ThirdParty/OssimPlugins/src/ossim/ossimGeometricSarSensorModel.h

@@ -244,7 +244,7 @@ protected:
    mutable SarSensor* _sarSensor;
 
    /**
-    * @brief True iff the product is ground range
+    * @brief True if the product is ground range
     */
    bool _isProductGeoreferenced ;
 

Modules/Wrappers/ApplicationEngine/include/otbWrapperCompositeApplication.h

@@ -80,8 +80,8 @@ protected:
   void LinkWatchers(itk::Object * itkNotUsed(caller), const itk::EventObject & event);
 
   /**
-   * Method to instanciate and register a new internal application
-   * \param appType Type of the application to instanciate
+   * Method to instantiate and register a new internal application
+   * \param appType Type of the application to instantiate
    * \param key Identifier associated to the created application
    * \param desc Description of the internal application
    */

SuperBuild/CMake/SuperBuild_Macro.cmake

@@ -208,7 +208,7 @@ endmacro()
 #
 # MATCH_STRINGS  - list of cmake variables that are set in INPUT_FILE.
 #                - eg: set(OTB_VERSION_MAJOR "5") or set(OTB_VERSION_PATCH 85)
-#                - It works on both qouted and non-quoted values.
+#                - It works on both quoted and non-quoted values.
 #
 # PREFIX         - optional prefix string where you need to have the output stored
 #