hyperspectral-images
There are 41 repositories under hyperspectral-images topic.
caiyuanhao1998/MST
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.
eecn/Hyperspectral-Classification
Hyperspectral-Classification Pytorch
syamkakarla98/Hyperspectral_Image_Analysis_Simplified
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
manila95/BASS-Net
Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification
ziatdinovmax/GPim
Gaussian processes and Bayesian optimization for images and hyperspectral data
shuguang-52/2019-RemoteSens-AUSSC
Alternately Updated Convolutional Spectral-Spatial Network for Hyperspectral Image Classification(Remote Sensing 2019)
xudongzhao461/Hyperspectral-Anomaly-Detection-by-Fractional-Fourier-Entropy
This demo implements FRFE-RX destriping for HSI
laugh12321/DACN
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
meteahishali/SRL-SOA
Hyperspectral Band Selection using Self-Representation Learning with Sparse 1D-Operational Autoencoder (SRL-SOA)
siapy/siapy-lib
🖼️ A tool for efficient processing of spectral images with Python.
earthlab/neonhs
An R package to simplify working with NEON's hyperspectral imagery
EnayatAria/ICA-based-band-selection-HSI
Independent component analysis for dimensionality reduction of hyperspectral images
handsomewzy/HSI-DMGASR
This is the raw source code of the paper 'Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-Resolution Network'
LiangMiaomiao/MS-RCAE-for-HSIC
A superpixel-based relational auto-encoder for feature extraction of hyperspectral images
matciotola/hyperspectral_pansharpening_toolbox
Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectives
Microsatellites-and-Space-Microsystems/hyperspectral-cnn-soil-estimation
A simple and light CNN-based regression model for soil parameters estimation from hyperspectral images.
JoshuaDBruton/SparseCoefficientClustering
Spectral Clustering on the Sparse Coefficients of Learned Dictionaries - Published in SIVP
chenx2000/DWMT-main
[AAAI2024] This the implementation of Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging.
mahmad00/GELM-AE-AL
The following demo comes for two papers "Spatial-prior generalized fuzziness extreme learning machine autoencoder-based active learning for hyperspectral image classification" and "Multi-layer Extreme Learning Machine-based Autoencoder for Hyperspectral Image Classification".
mistiiberry-exe/hyperspectral_image_classification
A complete solution to utilise both spatial and spectral information in the classification process is provided by the integration of deep CNNs with PCA for feature extraction and dimensionality reduction.
sampolk/D-VIC
This toolbox allows the implementation of the Diffusion and Volume maximization-based Image Clustering algorithm for unsupervised hyperspectral image clustering. See "README.md" for more information. Copyright: Sam L. Polk, 2023.
Sellifake/Hyperspectral_Image_Datasets_Collection
HSI常用数据集/高光谱图像
ChiHungKao/DCSN
DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite
ChristinaAndrinopoyloy/Clustering_on_Hyperspectral_Image
Project for "Clustering" Master course of Data Science and Information Technologies (DSIT)
eugnsp/cnn_hsi
Convolutional neural network for hyperspectral images classification
JunchuanYu/MFGNet_Cloud_Detection_Remote_Sensing
This is the offical implementation for our paper "An effective cloud detection method for GaoFen-5 images via deep learning"
diegovalsesia/linerwkv
LineRWKV predictive compression of hyperspectral images
JuliusFx131/GeoAI-Estimating-Soil-Parameters-Using-Hyperspectral-Images
The traditional in-situ soil analysis methods are laborious & inefficient, limiting scalability and hindering timely access to crucial soil data for optimal fertilization by farmers. In the amazing challenge, we tried to predict soil parameters(Phosphorous, Potassium, Magnesium and pH)from hyperspectral satellite images.
mohammadmozafari/digital-image-processing
Exploring some techniques for processing images.
Oteo95/probaV-super-resolution
Project to test the capabilities of deep learning architectures for the super-resolution task using hyperspectral images published by the PROBA-V satellite [old].
sampolk/DiffusionLearning
This toolbox allows the implementation of the following diffusion-based clustering algorithms on synthetic and real datasets.
Cimy-wang/Cimy_PPtools
The python toolbox for HSI
ElsevierSoftwareX/SOFTX_2020_170
An R package to read and process Agilent Cary 620 FTIR microscope images. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001321
handsomewzy/FkGANDA
This is the official source code of the paper 'Features kept generative adversarial network data augmentation strategy for hyperspectral image classification'
Hang-Fu/TensorSSA
Tensor Singular Spectral Analysis for 3D feature extraction in hyperspectral images, TGRS, 2023
ValECN/Hyperspectral-Adaptive-Imager
Git Repository for the Hyperspectral Adaptive Imager (ImHypAd) in collaboration between two French laboratories, namely IRAP and LAAS and Airbus Space & Defense.