Python module for hyperspectral image processing

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

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

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

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

pyMCR: Multivariate Curve Resolution for Python

Collections for hyperspectral image clustering

Python library for reading and writing scientific data format

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

Awesome projects, papers, and tools for working with hyperspectral imagery

Hyperspectral Remote Sensing Scenes

Remote Sensing Dataset fetcher, loader and benchmarker utils for Joint Classification of Hyperspectral and LiDAR/SAR Data

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

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.

🌇🌆 Benchmarking of Hyperspectral Image Fusion methods 🏙🌃

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

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

Python Link Budget Tools

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

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