Request for Changes-97: KMeansClassification reimplemented (Shark KMeans composite application)

[Request for Changes - 97] KMeansClassification reimplemented (Shark KMeans composite application)

Status

• Author: Marina Bertolino
• Submitted on 07.07.2017
• Proposed target release : 6.2
• Adopted:
• Link to a public git branch or pull request corresponding to the changes.
• Merged : (put merge commit when merged)

Summary

Reimplement using Shark KMeans composite application.

Rationale

Implement KMeansClassification as a composite application using an existing training and classification application.

The SharkKMeans model is used instead of ITK classes.

Implementation details

Classes and files

A       Modules/Applications/AppClassification/include/otbClassKMeansBase.h
A       Modules/Applications/AppClassification/include/otbClassKMeansBase.txx

Applications

M       Modules/Applications/AppClassification/app/otbKMeansClassification.cxx

The applications pipeline for this composite application is :

ImageEnveloppe => PolygonClassStatistics => SampleSelection => SamplesExtraction => TrainVectorClassifier => ImageClassifier.

Use this application for:

• ImageEnveloppe: create an image envelope,
• PolygonClassStatistics : create the statistics,
• SampleSelection : select the samples by constant strategy in the shapefile,
• SamplesExtraction : extract the samples descriptors,
• TrainVectorClassifier : train the model,
• ImageClassifier: performs the classification of the input image according to a model file.

The parameters of the internal applications have been initialized such as: (TODO list) The rest of the settings are by default.

Documentation

None

Additional notes

List remaining open issues if any, and additional notes.