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

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

demo_f3usion_hsi_sr

Demo of the submission titled "F$^{3}$USION: Hyperspectral and Multispectral Fusion with Flexible Plug-and-Play Framelet Regularization"

dpsr

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

enhanced-3dtv

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

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.

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"

ieee_jstars2021_fspm

source code for paper titled "Subspace-based Preprocessing Module for Fast Hyperspectral Endmember Selection"

ieee_tgrs_2021_hyperweak

Source code for the paper titled "Towards Weak Signal Analysis in Hyperspectral Data: A Semi-supervised Unmixing Perspective"

ieee_tgrs_spectralformer

Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Spectralformer: Rethinking hyperspectral image classification with transformers, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021

ircnn

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

layered_sparse_regression_unmixing

Demo of the TGRS paper titled "Efficient Hyperspectral Sparse Regression Unmixing with Multilayers"