Skip to main content

Feature Extraction and Zoning for Remote Sensing (FEZrs)

Project description

FEZrs

DOI Downloads PyPI Conda Version License PyPI - Downloads GitHub last commit GitHub stars

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.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fezrs-0.4.101.tar.gz (41.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fezrs-0.4.101-py3-none-any.whl (61.4 kB view details)

Uploaded Python 3

File details

Details for the file fezrs-0.4.101.tar.gz.

File metadata

  • Download URL: fezrs-0.4.101.tar.gz
  • Upload date:
  • Size: 41.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.17

File hashes

Hashes for fezrs-0.4.101.tar.gz
Algorithm Hash digest
SHA256 18a6e7f13d887c59601361c6e3d339ea993f0246a502c1449345f48e47cfc542
MD5 033c83248194f29ffdd311a16bd3facf
BLAKE2b-256 3bc84e486f4fd27a3dbc49bd4310800aaf94ad7f00d5c1d888f57c75ae3e21a1

See more details on using hashes here.

File details

Details for the file fezrs-0.4.101-py3-none-any.whl.

File metadata

  • Download URL: fezrs-0.4.101-py3-none-any.whl
  • Upload date:
  • Size: 61.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.17

File hashes

Hashes for fezrs-0.4.101-py3-none-any.whl
Algorithm Hash digest
SHA256 d1c922c83aaf785673e8f08a9a8ae380dc8e857ef08f96a91e1b9dbc2f6954e1
MD5 727574284be83ed78b4103345896ebd8
BLAKE2b-256 af4f79cbc588a53cca5006b22db12f11a0118429c85be4d831efb43df7f12ae1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page