PySptools (Python Spectral Tools)

PySptools is a handy Python module that helps software developers like us to add cool spectral and hyperspectral algorithms into our applications. It’s all about visualizing chemistry and showing how different chemicals relate to each other in terms of their amounts.

Key Features of PySptools

This tool comes packed with some awesome features! You can do things like convex hull removal, use a bridge to scikit-learn, and carry out the unmixing process. Plus, it offers noise reduction, spectrum-level feature extraction, supervised classification, target detection, and even endmembers extraction.

System Requirements

If you want to run PySptools, make sure you have Python 2.7 or any version of 3.x installed on your machine. You’ll also need some additional packages: Numpy, Scipy, scikit-learn, SPy, and Matplotlib. CVXOPT is needed for running FCLS while IPython is optional but great for using the display feature.

What’s Included?

When you download the package, it doesn’t just stop at the source code! You’ll also get examples along with files for abundance maps, classification tasks, detection processes, distance calculations, material counts, noise handling—pretty neat stuff! Tests are available too!

Installation Steps

To install PySptools smoothly, you need to find the path of the pysptools-0.xx.x folder and add it to your PYTHONPATH system variable. Using Distutils makes this easier. After that, just open up your Command Prompt window and type "python setup.py install" after navigating to that folder!

Add-On Resources

If you're interested in more algorithm sources beyond what PySptools offers alone, you can grab separate downloads for Matlab Hyperspectral Toolbox, PWCTools (piecewise constant toolbox), EIA (Endmember Induction Algorithms toolbox), HySime, and scikit-learn as well. And don't worry—complete user documentation is available on the developer's website for anyone who needs help!

You can download PySptools here.