OTB  6.5.0
Orfeo Toolbox
Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 12345]
oNboost
oNDetails
oNGeoInformationConversionHelper functions to do the geo information conversions used frequently
oNitk
oNkmldom
oNMetaDataKey
oNmvd
oNossimplugins
oNotbThe "otb" namespace contains all Orfeo Toolbox (OTB) classes
oNWrapper
oCApplicationLauncherWIP
oCBinarySpectralAngleFunctorThis functor computes the spectral angle between two pixels
oCCloudDetectionFunctorThis functor first uses CloudEstimatorFunctor
oCCoherencyToReciprocalMuellerFunctorEvaluate the reciprocal Mueller matrix from the reciprocal coherency matrix image
oCCommandLineArgumentParserArgumentErrorExceptionThis exception is thrown when the version is displayed
oCCommandLineArgumentParserHelpExceptionThis exception is thrown when the help menu is displayed
oCCommandLineArgumentParserVersionExceptionThis exception is thrown when the version is displayed
oCConnectedComponentMuParserFunctorFunctor used as input to itk connected component segmentation module
oCConnectedComponentMuParserFunctorThis functor use MuParser as criteria for itk connected component module
oCFlusserMomentsFFactoryAdd a FlusserMoments image function to a MetaImageFunction
oCFourierMellinDescriptorsFFactoryAdd a FourierMellinDescriptors image function to a MetaImageFunction
oCGroup
oCHaralickTexturesFFactoryAdd a HaralickTextures image function to a MetaImageFunction
oCImageFileWriterExceptionBase exception class for IO problems during writing
oCLabelObjectOpeningMuParserImageFilterLabel Object opening using shape and radiometric attributes. Acception/rejection criteria is user defined via MuParser function
oCLandsatTMLinguisticVariables
oCMaskMuParserFunctorFunctor used to create binary mask for input of connected component segmentation module
oCMaskMuParserFunctorThis functor use MuParser to evaluate and process mathematical expression
oCMaskMuParserImageFilterPerforms a mathematical operation on the input images according to the formula specified by the user. values different from 0 are set to 1
oCMPIManage MPI resources TODO
oCOBIAMuParserFunctorUse MuParser criteria to accept/reject LabelObject given his shape and radiometrics statistics. This functor is based on the mathematical parser library muParser. The built in functions and operators list is available at: http://muparser.sourceforge.net/mup_features.html#idDef2
oCOBIAMuParserFunctorThis functor use MuParser to evaluate and process mathematical expression
oCotbBarnesDecompFunctorEvaluate the Huynen decomposition from the reciprocal Sinclair matrix image
oCotbBarnesDecompImageFilterCompute the Barnes decomposition image (9 complex channels) from the Reciprocal Covariance image (6 complex channels)
oCotbEnvelopeSavitzkyGolayInterpolationFunctor: This class implements a Savitzky-Golay interpolation fitting the upper or lower envelope of the series being interpolated
oCotbHAlphaFunctorEvaluate the H-Alpha parameters from the reciprocal coherency matrix image
oCotbHAlphaImageFilterCompute the H-Alpha image (3 channels) from the Reciprocal coherency image (6 complex channels)
oCotbLocalRxDetectorFilterLocal-RX detector algorithm with multichannel VectorImage data as input
oCotbLocalRxDetectorNonThreadFilterLocal-RX detector algorithm with multichannel VectorImage data as input
oCotbMDMDNMFImageFilterThis filter implements unmixing based non negative matrix factorization (NMF) which finds simultaneously the end members and abundances matrix which product is the closer to the observed data, based on the following works: K. S. F.J. Theis and T. Tanaka, First results on uniqueness of sparse non-negative matrix factorisation. M. G. A. Huck and J. Blanc-Talon, IEEE TGRS, vol. 48, no. 6, pp. 2590-2602, 2010. A. Huck and M. Guillaume, in WHISPERS, 2010, Grenoble
oCotbMuellerToPolarisationDegreeAndPowerImageFilterCompute the polarization degree and power (4 channels : Power min and max, Polarization degree min and max) from the Mueller image (16 real channels) For more details, please refer to the class MuellerToPolarisationDegreeAndPowerFunctor
oCotbMuellerToReciprocalCovarianceImageFilterCompute the MLC image from the Mueller image (16 real channels) For more details, lease refer to the class MuellerToReciprocalCovarianceFunctor
oCotbReciprocalCoherencyToReciprocalMuellerImageFilterCompute the reciprocal Mueller matrix image (10 real channels) from the Reciprocal coherency image (6 complex channels)
oCotbReciprocalCovarianceToCoherencyDegreeImageFilterCompute the Coherency Degree coefficient from the MLC image (6 complex channels) For more details, lease refer to the class ReciprocalCovarianceToCoherencyDegreeFunctor
oCotbReciprocalCovarianceToReciprocalCoherencyImageFilterCompute the Coherency image (6 complex channels) from the Covariance image (6 complex channels)
oCotbReciprocalLinearCovarianceToReciprocalCircularCovarianceImageFilterCompute the reciprocal Covariance circular matrix image from the reciprocal Covariance linear matrix image. For more details, please refer to the class ReciprocalLinearCovarianceToReciprocalCircularCovarianceFunctor
oCotbSavitzkyGolayInterpolationFunctor: This functor implements a local polynomial regression (of degree k) on a series of values (of at least k+1 points which are treated as being equally spaced in the series) to determine the smoothed value for each point
oCPersistentStreamingLabelImageToOGRDataFilterThis filter is a framework for large scale segmentation. For a detailed description
oCSFSTexturesFunctorThis functor computes textures based on line direction analysis through the central pixel
oCSharkKMeansMachineLearningModelShark version of Random Forests algorithm
oCSharkRandomForestsMachineLearningModelShark version of Random Forests algorithm
oCSpectralAngleFunctorThis functor computes the spectral angle according to a reference pixel
oCThis
\CUtilsUtils operations