EnMAP-Box 3 Logo

General

  • About
  • FAQ & Troubleshooting
  • How to contribute
  • Roadmap
  • Glossary

User Section

  • Installation
  • Getting Started
  • Cookbook
  • User Manual
    • The GUI
    • Tools
    • Applications
    • Example Data
    • Earth Observation for QGIS (EO4Q)
    • Processing Algorithms
      • Auxilliary
      • Classification
        • Class fraction layer from categorized vector layer
        • Classification layer accuracy and area report (for simple random sampling)
        • Classification layer accuracy and area report (for stratified random sampling)
        • Classification layer from class probability/fraction layer
        • Classification workflow
        • Classifier performance report
        • Fit CatBoostClassifier
        • Fit GaussianProcessClassifier
        • Fit generic classifier
        • Fit LGBMClassifier
        • Fit LinearSVC
        • Fit LogisticRegression
        • Fit RandomForestClassifier
        • Fit SpectralAngleMapper
        • Fit SVC (polynomial kernel)
        • Fit SVC (RBF kernel)
        • Fit XGBClassifier
        • Fit XGBRFClassifier
        • Predict class probability layer
        • Predict classification layer
        • Reclassify raster layer
      • Clustering
      • Convolution, morphology and filtering
      • Dataset creation
      • Debugging
      • Export data
      • Feature selection
      • Import data
      • Masking
      • Raster analysis
      • Raster conversion
      • Raster miscellaneous
      • Raster projections
      • Regression
      • Spectral resampling
      • Transformation
      • Unmixing
      • Vector conversion
      • Vector creation
    • Metadata Guide
  • EnMAP Data
  • Application Tutorials
  • Workshop Tutorials

Developer Section

  • Installation
  • EnMAP-Box repository
  • Build and publish the EnMAP-Box
  • Dev Cookbook
  • Create EnMAP-Box Applications
  • RFC list
  • Documentation Guidelines
EnMAP-Box 3
  • User Manual
  • Processing Algorithms
  • Classification
  • Edit on GitHub

ClassificationΒΆ

  • Class fraction layer from categorized vector layer
  • Classification layer accuracy and area report (for simple random sampling)
  • Classification layer accuracy and area report (for stratified random sampling)
  • Classification layer from class probability/fraction layer
  • Classification workflow
  • Classifier performance report
  • Fit CatBoostClassifier
  • Fit GaussianProcessClassifier
  • Fit generic classifier
  • Fit LGBMClassifier
  • Fit LinearSVC
  • Fit LogisticRegression
  • Fit RandomForestClassifier
  • Fit SpectralAngleMapper
  • Fit SVC (polynomial kernel)
  • Fit SVC (RBF kernel)
  • Fit XGBClassifier
  • Fit XGBRFClassifier
  • Predict class probability layer
  • Predict classification layer
  • Reclassify raster layer
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© Copyright 2018-2023, Andreas Janz, Benjamin Jakimow, Fabian Thiel, Sebastian van der Linden, Patrick Hostert. Revision 12:54:45.

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Sidebar image credits: ESA adapted-Amsterdam, ESA adapted-Uruguay River wetlands, EUSI/ESA adapted-Algerian Sands, ESA adapted-Kenya, Tanzania, Uganda | CC BY-SA 3.0 IGO

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