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.
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
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
Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017.
Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks
Official code for STARCOP: Semantic Segmentation of Methane Plumes with Hyperspectral Machine Learning models :rainbow::artificial_satellite:
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)
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
Collections for hyperspectral image clustering
This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'
Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".
Tree Crown Image Segmentation through Clustering with RGB, Hyperspectral and LiDAR as inputs
Awesome projects, papers, and tools for working with hyperspectral imagery
A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis
Real-time tools for Imaging Spectroscopy Data
Hyperspectral Unmixing via Dual Attention Convolutional Neural Networks | 基于双注意力卷积神经网络的高光谱图像解混
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"