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Feature Extraction and Zoning for Remote Sensing (FEZrs)

Project description

FEZrs

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FEZrs is an advanced Python library developed by FEZtool for remote sensing applications. It provides a set of powerful tools for image processing, feature extraction, and analysis of geospatial data.

Features

✅ Apply various image filtering techniques (Gaussian, Laplacian, Sobel, Median, Mean)
✅ Contrast enhancement and edge detection
✅ Support for geospatial raster data (TIFF)
✅ Designed for remote sensing and satellite imagery analysis
✅ Easy integration with FastAPI for web-based processing

Installation

To install FEZrs and its dependencies, use:

pip install fezrs

Or

conda install feztool::fezrs	

Usage

Example of applying a Gaussian filter to an image:

from fezrs import EqualizeRGBCalculator

equalize = EqualizeRGBCalculator(
    blue_path="path/to/your/image_band.tif",
    green_path="path/to/your/image_band.tif",
    red_path="path/to/your/image_band.tif",
)

equalize.chart_export(output_path="./your/export/path")
equalize.execute(output_path="./your/export/path")

Modules

  • KMeansCalculator
  • GuassianCalculator
  • LaplacianCalculator
  • MeanCalculator
  • MedianCalculator
  • SobelCalculator
  • GLCMCalculator
  • HSVCalculator
  • IRHSVCalculator
  • AdaptiveCalculator
  • AdaptiveRGBCalculator
  • EqualizeCalculator
  • EqualizeRGBCalculator
  • FloatCalculator
  • GammaCalculator
  • GammaRGBCalculator
  • LogAdjustCalculator
  • OriginalCalculator
  • OriginalRGBCalculator
  • SigmoidAdjustCalculator
  • PCACalculator
  • AFVICalculator
  • BICalculator
  • NDVICalculator
  • NDWICalculator
  • SAVICalculator
  • UICalculator
  • SpectralProfileCalculator

Contributing

We welcome contributions! To contribute:

  1. Fork the repository
  2. Create a new branch (git checkout -b feature-name)
  3. Commit your changes (git commit -m "Add new feature")
  4. Push to your branch (git push origin feature-name)
  5. Open a Pull Request

Acknowledgment

Special thanks to Chakad Cafe for the coffee that kept us fueled during development! ☕

License

This project is licensed under the Apache-2.0 license.

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