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🚀 SiaPy command line tool (CLI)

To facilitate the use of some of the SiaPy library's functionality, a command line interface (CLI) has been implemented.

The CLI currently supports the following commands:

  • Display images from two cameras.
  • Co-register cameras and compute the transformation from one camera's space to another.
  • Select regions in images for training machine learning (ML) models.
  • Perform image segmentation using a pre-trained ML model.
  • Convert radiance images to reflectance by utilizing a reference panel.
  • Display spectral signatures for in-depth analysis.

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🚀 Hyperspectral data utilization in research

This use case demonstrates how to utilize extracted data from hyperspectral images in research. The project integrates a machine learning (ML) pipeline workflow with the SiaPy library to classify spectral signatures.

Key features:

  • Provides a structured approach to train and test models.
  • Features an integrated modular architecture for easy modification of models and data.
  • Includes an optimization process with hyperparameter tuning.
  • Utilizes Explainable AI techniques to understand the model, the data on which the model is trained, and the most relevant spectral bands (important features) for the model.
  • Covers the entire process with visualization of results.

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💻 Code Repository