FEZrs is a Python library developed by FEZtool for geospatial multispectral image processing and spectral analysis in remote sensing. It provides tools for image processing, feature extraction, spectral analysis, and analysis of geospatial raster data.
✅ Apply various image filtering techniques (Gaussian, Laplacian, Sobel, Median, Mean)
✅ Contrast enhancement and edge detection
✅ Support for geospatial raster data (TIFF)
✅ Spectral analysis and calculation of remote sensing indices
✅ Tools for image classification, clustering, and feature extraction
✅ Designed for multispectral remote sensing and satellite imagery analysis
✅ Easy integration with Python-based web applications such as FastAPI
Full documentation, API references, tutorials, and examples are available here: https://feztool-team.github.io/FEZdocs/libraries/fezrs/
You can install FEZrs using your preferred Python package manager:
pip install fezrsconda install -c FEZtool fezrsmamba install FEZtool::fezrsNote: The
mambacommand requires Mamba to be installed. If it's not installed, use thecondacommand instead.
Example of applying a Gaussian filter to an image:
from fezrs import GaussianCalculator
gaussian = GaussianCalculator(
tif_path="path/to/your/image_band.tif",
)
gaussian.execute(output_path="./your/export/path")KMeansCalculatorGaussianCalculatorLaplacianCalculatorMeanCalculatorMedianCalculatorSobelCalculatorGLCMCalculatorHSVCalculatorIRHSVCalculatorAdaptiveCalculatorAdaptiveRGBCalculatorEqualizeCalculatorEqualizeRGBCalculatorFloatCalculatorGammaCalculatorGammaRGBCalculatorLogAdjustCalculatorOriginalCalculatorOriginalRGBCalculatorSigmoidAdjustCalculatorPCACalculatorAFRICalculatorBICalculatorNDVICalculatorNDWICalculatorSAVICalculatorUICalculatorSpectralProfileCalculatorMosaicCalculatorSVMCalculatorLandsat8CalculatorGeoeyeCalculatorBurnCalculatorIndicesCalculatorMagDirCalculatorSubDivCalculatorTimeCalculator
We welcome contributions! To contribute:
- Fork the repository
- Create a new branch (
git checkout -b feature-name) - Commit your changes (
git commit -m "Add new feature") - Push to your branch (
git push origin feature-name) - Open a Pull Request
Special thanks to Chakad Cafe for the coffee that kept us fueled during development! ☕
This project is licensed under the Apache-2.0 license.