HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Images in CVPRW 2018 (Winner of NTIRE Challenge)
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Updated
Jun 5, 2019 - Python
HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Images in CVPRW 2018 (Winner of NTIRE Challenge)
This repository is the official code for DBIN (ICCV 2019) and EDBIN (TNNLS 2021)
Landcover classification using the fusion of HSI and LiDAR data.
Implementation of CNN-Enhanced Graph Attention Network for Hyperspectral Image Super-Resolution Using Non-Local Self-Similarity (CEGATSR) in Pytorch.
Project for Machine Learning and Physical Applications Class - Hyperspectral image classification using SVM, and CNN with layer pruning and layer compression.
A Pytorch implementation of "An Efficient Unfolding Network with Disentangled Spatial-Spectral Representation for Hyperspectral Image Super-Resolution"
MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition
This repository contains the python (2.7) code running the detection within astronomical hyperspectral images. It is associated with the paper : "Extended faint source detection in astronomical hyperspectral images" published by Courbot, J.-B. et al in Signal Processing 135 (2017) 274–283.
Easily convert a hyperspectral image to an RGB image
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