There are 9 repositories under hyperspectral topic.
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.
Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network
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 library for reading and writing scientific data format
Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks
Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017.
Open Source real-time visualization tools for Imaging Spectrometer development
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
🌇🌆 Benchmarking of Hyperspectral Image Fusion methods 🏙🌃
PyTorch implementation of "Deep Plug-and-Play Prior for Hyperspectral Image Restoration" (Neurocomputing 2022)
Official code for STARCOP: Semantic Segmentation of Methane Plumes with Hyperspectral Machine Learning models :rainbow::artificial_satellite:
This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'
An open source Python single-pixel imaging kit for educational and research purposes.
Matlab code for Fusion of Dual Spatial Information for Hyperspectral Image Classification, 2020, TGRS
Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".
A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis
Tree Crown Image Segmentation through Clustering with RGB, Hyperspectral and LiDAR as inputs
Collections for hyperspectral image clustering
Real-time tools for Imaging Spectroscopy Data
specio: Python input/output for spectroscopic files
hypers: hyperspectral data structure, data analysis and machine learning
Source code of "Scalable Recurrent Neural Network for Hyperspectral Image Classification"
Awesome projects, papers, and tools for working with hyperspectral imagery
This is the code of paper named "Multipixel Anomaly Detection With Unknown Patterns for Imagery"
Landcover classification using the fusion of HSI and LiDAR data.