Python module for hyperspectral image processing

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"

A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments

pyMCR: Multivariate Curve Resolution for Python

Hyperspectral Remote Sensing Scenes

Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network

Python library for reading and writing scientific data format

S. Liu, Q. Shi and L. Zhang, "Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3018879.

A framework for multiframe super-resolution (enhancing the quality of an image from multiple similar low-resolution images) with support for hyperspectral imaging data.

Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017.

Official code for STARCOP: Semantic Segmentation of Methane Plumes with Hyperspectral Machine Learning models 🌈🛰️

Python Link Budget Tools

🌇🌆 Benchmarking of Hyperspectral Image Fusion methods 🏙🌃

Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks

Collections for hyperspectral image clustering

The code is associated with the following paper "A Fast and Compact 3-D CNN for Hyperspectral Image Classification". IEEE Geoscience and Remote Sensing Letters

Open Source real-time visualization tools for Imaging Spectrometer development

An open source Python single-pixel imaging kit for educational and research purposes.