hyperspectral-imaging
There are 105 repositories under hyperspectral-imaging topic.
gokriznastic/HybridSN
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
suvojit-0x55aa/A2S2K-ResNet
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
AnkurDeria/HSI-Traditional-to-Deep-Models
Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
wgcban/HyperTransformer
[CVPR'22] HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening
liuyang12/DeSCI
Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)
purbayankar/Hyperspectral-Vision-Transformer
A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification
KAIST-VCLAB/deepcassi
[SIGGRAPH Asia 2017] High-Quality Hyperspectral Reconstruction Using a Spectral Prior
NISL-MSU/HSI-BandSelection
Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging.
caiyuanhao1998/BiSCI
A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)
andreybicalho/ExtendedMorphologicalProfiles
Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles
jbferet/biodivMapR
biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
cogsys-tuebingen/deephs_fruit
Measuring the ripeness of fruit with Hyperspectral Imaging and Deep Learning
purbayankar/HybridSN-pytorch
A pytorch based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
quanmingyao/NGMeet
Matlab Code for: "Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. Arvix. Dec 2018"
daniel-rychlewski/hsi-toolbox
Hyperspectral CNN compression and band selection
Seyed-Ali-Ahmadi/Python-for-Remote-Sensing
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
hustvl/SAUNet
A Simple Adaptive Unfolding Network for Hyperspectral Image Reconstruction
PhotonicsOpenProjects/ONE-PIX
An open source Python single-pixel imaging kit for educational and research purposes.
marijavella/hs-sr-tvtv
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization (ICIP 2021)
Jiamian-Wang/mask_uncertainty_spectral_SCI
PyTorch code for ECCV 2022 Oral paper "Modeling Mask Uncertainty in Hyperspectral Image Reconstruction"
MicroscopeMaestro/spectramap
Python library for hyperspectral analysis focused on spectroscopic approach.
mosin26/forest_hype
Remote Sensing and Machine Learning in Forestry Applications
poyentung/sigma
Python library for phase identification and spectrum analysis of energy dispersive x-ray spectroscopy (EDS)
HasibAlMuzdadid/Hyperspectral-Image-Classification
Comparative analysis of different feature extraction techniques for hyperspectral image classification.
ridvansalihkuzu/hyperview_eagleeyes
Soil parameter estimation from hyperspectral satellite images
ilias-ant/hyperspectral-images
Processing of HSIs: spectral unmixing and classification.
silmae/hsicube
A MATLAB framework for hyperspectral cube analysis
namratadutt/LiDAR-and-Hyperspectral-Fusion-classification
Landcover classification using the fusion of HSI and LiDAR data.
fverdoja/LAD-Laplacian-Anomaly-Detector
Graph-based image anomaly detection algorithm leveraging on the Graph Fourier Transform
mzeegers/ADJUST
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography
openspyrit/spihim
Single-pixel hyperspectral imaging datasets
hustvl/RND-SCI
A Range-Null Space Decomposition Approach for Fast and Flexible Spectral Compressive Imaging
shubs202k/Hyperspectral-Image-Classification-using-Deep-Learning
Hyperspectral Image Classification using Deep Neural Network Architectures with Transfer Learning
daniel-rychlewski/Cao-Keras-Visualization
Neural network visualization tool after an optional model compression with parameter pruning: (integrated) gradients, guided/visual backpropagation, activation maps for the cao model on the IndianPines dataset
openspyrit/spas
Single-Pixel Acquisition Software