xiangfeishen Goto Github PK

2022_ieee_grsl_lgsu

Source code for the paper titled "Superpixel-guided Local Sparsity Prior for Hyperspectral Sparse Regression Unmixing"

admm-total-variation

Some other ADMM total variation codes

airportdetection

Extract airport objects in remote sensing images using saliency analysis and active contour model

auto-ad

This is an official implementation of Auto-AD in our TGRS 2021 paper " Auto-AD: Autonomous hyperspectral anomaly detection network based on fully convolutional autoencoder ".

background-subtraction-

Sample background values at each pixel are quantized into codebooks which represent a compressed form of background model for a long image sequence. The CB algorithm adopts a quantization/clustering technique, to construct a background model. Samples at each pixel are clustered into the set of codewords. The background is encoded on a pixel by pixel basis.

benchmarking-super-resolution-algorithms-on-real-data

Super-Resolution Erlangen (SupER): Benchmarking Super-Resolution Algorithms on Real Data

bilinear_unmixing

Matlab code for blind sparse nonlinear hyperspectral unmixing

buptgraduatethesis

BUPTGraduateThesis提供北京邮电大学研究生学位论文LaTeX文档类，其符合北邮研究生院2014年11月发布的《关于研究生学位论文格式的统一要求》，目前已根据2017年标准修正格式、添加英文扉页，已根据2023年标准修正格式、添加答辩小组名单页

chongqing-university-beamer-theme

A LaTeX beamer theme template for CQU students.

cquthesis

:pencil: 重庆大学毕业论文LaTeX模板---LaTeX Thesis Template for Chongqing University

dataset

deep-compressed-sensing

Deep Learning/Deep neural network-based Image/Video (Quantized) Compressed/Compressive Sensing (Coding)

deep-recursive-residual-network-for-super-resolution

Pytorch implementation of Deep Recursive Residual Network for Super Resolution (DRRN), CVPR 2017

dpsr

Deep prior-based sparse representation model for diffraction imaging: A plug-and-play method

elspasu

Demo

enhanced-3dtv

The code of enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing

entropy-otsu

MATLAB code and data for "Automatic image thresholding using Otsu’s method and entropy weighting scheme for surface defect detection"

free

免费科学上网,免费翻墙,免费ssr,免费v2ray,免费vmess节点,免费节点,翻墙,蓝灯,谷歌商店

frsvt

I implemented the fllowing article by Matlab.Refrence:Oh T H, Matsushita Y, Tai Y W, et al. Fast Randomized Singular Value Thresholding for Low-rank Optimization[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015, PP(99):1-1.Abstract:Rank minimization can be converted into tractable surrogate problems, such as Nuclear Norm Minimization (NNM) and Weighted NNM (WNNM). The problems related to NNM, or WNNM, can be solved iteratively by applying a closed-form proximal operator, called Singular Value Thresholding (SVT), or Weighted SVT, but they suffer from high computational cost of Singular Value Decomposition (SVD) at each iteration. We propose a fast and accurate approximation method for SVT, that we call fast randomized SVT (FRSVT), with which we avoid direct computation of SVD. The key idea is to extract an approximate basis for the range of the matrix from its compressed matrix. Given the basis, we compute partial singular values of the original matrix from the small factored matrix. In addition, by developping a range propagation method, our method further speeds up the extraction of approximate basis at each iteration. Our theoretical analysis shows the relationship between the approximation bound of SVD and its effect to NNM

hapke_ssa_matlab

Matlab codes for converting VNIR spectra to single scattering albedo following a simplified version of Hapke model

hapkecnn

Blind Nonlinear Unmixing for Intimate Mixtures Using Hapke Model and Convolutional Neural Network

hsi-sr-benchmarking

🌇🌆 Benchmarking of Hyperspectral Image Fusion methods 🏙🌃

hsi2rgb

Create realistic looking RGB images using remote sensing hyperspectral images.

hvad-hyperspectral-vaccine-anomaly-detection-dataset

hyperspectral-anomaly-detection

Paper and Code about my research on hyperpsectral anomaly detection

hyperspectral-dequantization

Code from paper High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction

hyperspectral-image-denoising-benchmark

A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.

hyperspectral-image-super-resolution-benchmark

A list of hyperspectral image super-solution resources collected by Junjun Jiang

ieee_grsl2022_gcrc

The source code of the paper titled "Grouped Collaborative Representation for Hyperspectral Image Classification Using a Two-Phase Strategy"

ieee_jstars2020_senmav

Source code for the paper titled "Spatial-Spectral Hyperspectral Endmember Extraction Using a Spatial Energy Prior"