A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.
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Updated
Apr 11, 2024 - Python
A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.
Hyperspectral-Classification Pytorch
Gaussian processes and Bayesian optimization for images and hyperspectral data
Alternately Updated Convolutional Spectral-Spatial Network for Hyperspectral Image Classification(Remote Sensing 2019)
Hyperspectral Band Selection using Self-Representation Learning with Sparse 1D-Operational Autoencoder (SRL-SOA)
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
Independent component analysis for dimensionality reduction of hyperspectral images
A tool for efficient processing of spectral images with Python.
Spectral Clustering on the Sparse Coefficients of Learned Dictionaries - Published in SIVP
This is the raw source code of the paper 'Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-Resolution Network'
Project to test the capabilities of deep learning architectures for the super-resolution task using hyperspectral images published by the PROBA-V satellite [old].
[AAAI2024] This the implementation of Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging.
The python toolbox for HSI
Classification of different landcover classes using Hyperspectral data.
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