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.
A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"
Python library for reading and writing scientific data format
Official code for STARCOP: Semantic Segmentation of Methane Plumes with Hyperspectral Machine Learning models :rainbow::artificial_satellite:
Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network
Awesome projects, papers, and tools for working with hyperspectral imagery
Collections for hyperspectral image clustering
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.
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
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
PyTorch implementation of "Deep Plug-and-Play Prior for Hyperspectral Image Restoration" (Neurocomputing 2022)
Matlab code for Fusion of Dual Spatial Information for Hyperspectral Image Classification, 2020, TGRS
This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'
Real-time tools for Imaging Spectroscopy Data
Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".
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
Tree Crown Image Segmentation through Clustering with RGB, Hyperspectral and LiDAR as inputs
[IEEE T-GRS 2024] The official repository for Journal Article “FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training”, Accepted to IEEE Transactions on Geoscience and Remote Sensing, December 2023.
Dead simple exchangeable image file format tools for Go optimized for large image files using lazy loading.
HYDROPT is an open-source framework for forward and inverse modelling of multi- and hyperspectral observations from oceans, coastal and inland waters. Our framework is based on radiative transfer principles and is sensor agnostic .
Awesome datasets for hyperspectral imaging research.
hypers: hyperspectral data structure, data analysis and machine learning
A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis
specio: Python input/output for spectroscopic files