Difference between revisions of "Request for Changes-97: KMeansClassification reimplemented (Shark KMeans composite application)"
From OTBWiki
Mbertolino (Talk | contribs) (→Rationale) |
Mbertolino (Talk | contribs) (→Implementation details) |
||
| Line 34: | Line 34: | ||
</pre> | </pre> | ||
| − | |||
| − | + | The applications pipeline for this composite application is : | |
| + | <pre> | ||
| + | ImageEnveloppe => PolygonClassStatistics => SampleSelection => SamplesExtraction => TrainVectorClassifier => ImageClassifier. | ||
| + | </pre> | ||
| + | |||
| + | 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 === | === Additional notes === | ||
List remaining open issues if any, and additional notes. | List remaining open issues if any, and additional notes. | ||
Revision as of 17:18, 7 July 2017
Contents
[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.
