fezrs 0.4.30

Feature Extraction and Zoning for Remote Sensing (FEZrs)

FEZrs

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

Usage

Example of applying a Gaussian filter to an image:

from pathlib import Path
from fezrs.file_handler import OpenFiles
from fezrs.gaussian import GAUSSIANCalculator
import matplotlib.pyplot as plt

tif_file = Path("path/to/your/image.tif")
calculator = GAUSSIANCalculator(OpenFiles(tif_file=tif_file))
gaussian_image = calculator.calculate()

plt.imshow(gaussian_image, cmap="gray")
plt.title("Gaussian Filter")
plt.axis("off")
plt.show()

Modules

• contrast.py – Contrast enhancement
• gaussian.py – Gaussian filter
• laplacian.py – Laplacian edge detection
• mean.py – Mean filter
• median.py – Median filter
• sobel.py – Sobel edge detection
• file_handler.py – File management for TIFF images
• OException.py – Custom exception handling

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.