Image Preprocessing tools, both these are image enhancement techniques:
Supervised PCA;
Generalize eigenvalue transformation;
Supervised classification using Neural networks:
RBF network;
AD-SVD very fast training network;
Unsupervised classification:
Using an optimized clustering algorithm;
Kohonen Self Organizing Map (SOM) neural network;
Synthetic hyperspectral cube generator for benchmarking performance of algorithms: this tool uses spectral libraries that are available in ENVI to generate cubes for:
classification tests;
anomaly detection tests, and
subpixel unmixing algorithms.
Subpixel target detection algorithm based on fast anomaly detection
"Realistic color" RGB display of image cubes (for VNIR sensors)
Gain, offset and radiometric calibration tools for data cubes (specifically it works with the previous item).
UNDER DEVELOPMENT
Physics based atmospheric corrections (this approach solves the "inverse problem" of atmospheric retrieval based on models such as Modtran, via fast global optimization).
Realtime lossless compression for hyperspectral sensors data.
