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Hyperspectral-Image-Denoising-via-Sparse-Representation-and-Low-Rank-Constraint
Zhao Y Q, Yang J. Hyperspectral image denoising via sparse representation and low-rank constraint[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(1): 296-308.An-Iterative-Image-Dehazing-Method-with-Polarization
It is the code for paper "Yongqiang Zhao, Linghao Shen, Qunnie Peng, Jonathan Cheung-Wai Chan, Seong G. Kong. An Iterative Image Dehazing Method with Polarization, IEEE Transactions on Multimedia"Learning-and-Transferring-Deep-Joint-Spectral-Spatial-Features-for-Hyperspectral-Classification
code for paper "Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification"LDDRS
This is a LWIR DoFP Dataset of Road Scene (LDDRS)Demosaicking-DoFP-images-using-Newton-polynomial-interpolation-and-polarization-difference-model
This is the MATLAB implementation of the Newton's polynomial interpolation of the DoFP images demosaicking described in the following paper: Ning Li, Yongqiang Zhao, Quan Pan, and Seong G. Kong, "Demosaicking DoFP images using Newton's polynomial interpolation and polarization difference model," Opt. Express 27, 1376-1391 (2019)U-2Pnet
PCDP
Code for "Polarization image demosaicking using polarization channel difference prior"Mosaic-Convolution-Attention-Network-for-Demosaicing-Multispectral-Filter-Array-Images
This repository is the official PyTorch implementation of "Mosaic Convolution-Attention Network for Demosaicing Multispectral Filter Array Images" (TCI 2021)PDS
No-Reference-Hyperspectral-Image-Quality-Assessment-via-Quality-Sensitive-Features-Learning
code for paper "Yang, J., Zhao, Y., Yi, C., & Chan, J. C. W. (2017). No-Reference Hyperspectral Image Quality Assessment via Quality-Sensitive Features Learning. Remote Sensing, 9(4), 305."LRTC-DM
Mixed Norm Regularized Models for Low-Rank Tensor CompletionHyperspectral-and-Multispectral-fusion-via-Two-branch-CNN
TMSL
Band-Subset-Based-Clustering-Fusion-for-Hyperspectral-Imagery-Classification
It is the code for paper "Yong-Qiang Zhao ; Lei Zhang ; Seong G. Kong. Band Subset Based Clustering Fusion for Hyperspectral Imagery Classification, IEEE Transactions on Geoscience and Remote Sensing ( Volume: 49, Issue: 2, Feb. 2011 )"Unsupervised-Spectral-Demosaicing
TGI
The code for Transductive Gradient Injection for Improved Hyperspectral Image DenoisingAPMR
HOMG
Histograms of oriented mosaic gradients for snapshot spectral image descriptionLove Open Source and this site? Check out how you can help us