iota2.common.otb_app_bank

OTB applications interface

Functions

CreateBandMathApplication(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string

CreateBandMathXApplication(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string

CreateBinaryMorphologicalOperation(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string in parameter could be string/OtbApplication/tuple OtbParameters [dic] dictionnary with otb's parameter keys Example : OtbParameters = {"in":"/image.tif", pixType:"uint8","out":"/out.tif"} OUT : morphoMath [otb object ready to Execute]

CreateClassificationMapRegularization(...)

binding to ClassificationMapRegularization OTB's application

CreateClassifyAutoContext(OtbParameters)

Binding to ClassifyAutoContext OTB's application

CreateClumpApplication(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string

CreateComputeConfusionMatrixApplication(...)

in parameter could be string

CreateConcatenateImagesApplication(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string

CreateConfusionMatrix(otb_parameters)

binding to ComputeConfusionMatrix OTB's application

CreateDespeckleApplication(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string in parameter could be string/OtbApplication/tupleOfOtbApplication OtbParameters [dic] dictionnary with otb's parameter keys Example : OtbParameters = {"in":"/image.tif","filter":"lee", pixType:"uint8","out":"/out.tif"} OUT : despeckle [otb object ready to Execute]

CreateExtractROIApplication(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string

CreateFusionOfClassificationsApplication(...)

IN: parameter consistency are not tested here (done in otb's applications) in parameter could be string/OtbApplication/tupleOfOtbApplication OtbParameters [dic] dictionnary with otb's parameter keys Example : OtbParameters = {"in":"/image.tif","filter":"lee", pixType:"uint8","out":"/out.tif"} OUT : fusion [otb object ready to Execute]

CreateImageClassifierApplication(OtbParameters)

binding to ImageClassifier OTB's application

CreateImageTimeSeriesGapFillingApplication(...)

binding to ImageTimeSeriesGapFilling OTB's application

CreateIota2FeatureExtractionApplication(...)

binding to iota2_feature_extraction OTB's application

CreateMultitempFilteringFilter(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string in parameter could be string/List of OtbApplication/List of tuple OtbParameters [dic] dictionnary with otb's parameter keys Example : OtbParameters = {"in":"/image.tif", pixType:"uint8","out":"/out.tif"} OUT : SARfilterF [otb object ready to Execute]

CreateMultitempFilteringOutcore(OtbParameters)

MultitempFilteringOutcore is an External otb module git clone http://tully.ups-tlse.fr/vincenta/otb-for-biomass.git -b memChain

CreateOrthoRectification(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string in parameter could be string/OtbApplication/tuple OtbParameters [dic] dictionnary with otb's parameter keys Example : OtbParameters = {"in":"/image.tif", pixType:"uint8","out":"/out.tif"} OUT : ortho [otb object ready to Execute]

CreatePixelValueApplication(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string

CreatePointMatchCoregistrationModel(...)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string

CreatePolygonClassStatisticsApplication(...)

IN: parameter consistency are not tested here (done in otb's applications) in parameter could be string/OtbApplication/tupleOfOtbApplication OtbParameters [dic] dictionnary with otb's parameter keys Example : OtbParameters = {"in":"/image.tif","filter":"lee", pixType:"uint8","out":"/out.tif"} OUT : pClassStats [otb object ready to Execute]

CreateRasterizationApplication(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string

CreateRigidTransformResampleApplication(...)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string

CreateSLICApplication(OtbParameters)

binding to SLIC OTB's application

CreateSampleAugmentationApplication(...)

binding to SampleAugmentation OTB's application

CreateSampleExtractionApplication(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) in parameter could be string/OtbApplication/tupleOfOtbApplication OtbParameters [dic] dictionnary with otb's parameter keys Example : OtbParameters = {"in":"/image.tif","filter":"lee", pixType:"uint8","out":"/out.tif"} OUT : sampleE [otb object ready to Execute]

CreateSampleSelectionApplication(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) in parameter could be string/OtbApplication/tupleOfOtbApplication OtbParameters [dic] dictionnary with otb's parameter keys Example : OtbParameters = {"in":"/image.tif","filter":"lee", pixType:"uint8","out":"/out.tif"} OUT : sampleS [otb object ready to Execute]

CreateSarCalibration(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string in parameter could be string/OtbApplication OtbParameters [dic] dictionnary with otb's parameter keys Example : OtbParameters = {"in":"/image.tif", pixType:"uint8","out":"/out.tif"} OUT : calibration [otb object ready to Execute]

CreateSuperimposeApplication(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string

CreateTrainAutoContext(OtbParameters)

binding to TrainAutoContext OTB's application

CreateZonalStatistics(OtbParameters)

IN: parameter consistency are not tested here (done in otb's applications) every value could be string

computeSARFeatures_dates_expressions(...)

function use to compute SAR features assuming VV is 'im1' and VH is 'im2'

computeUserFeatures(stack, Dates, ...)

usage : from a multibands/multitemporal stack of image, compute features

create_vector_classifier_application(...)

create_vector_regression_application(...)

executeApp(otb_application)

function use to wrap otb's application.

generateSARFeat_dates(sar_expressions, SAR_dict)

getInputParameterOutput(otbObj)

IN : otbObj [otb object]

getSARstack(sarConfig, tileName, allTiles, ...)

function use to compute interpolation files

sortS1Masks(masksList)

usage : sort masks by mode and sensors

train_vector_classifier(in_vd, data_field, ...)

train_vector_regression(in_vd, data_field, ...)

unPackFirst(someListOfList)

python generator return first element of a list of list

writeInputDateFile(InDateFile, OutDateFile)

writeInterpolateDateFile(interpolationFile, ...)

determine interpolation dates boundaries strategy