renqi1998 Goto Github PK

2021

assmn

The code implementation of our paper "Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification" (IEEE TGRS, 2020).

awesome-infrared-small-targets

List of awesome infrared small targets detection methods!

boundary_loss_for_remote_sensing

Pytorch re-implementation of boundary loss, proposed in "Boundary Loss for Remote Sensing Imagery Semantic Segmentation"

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

enl-fcn

ENL-FCN for HSI classification

ers-entropyratesuperpixel

f2hnn

Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network

gd-net

Deep Efficient Spectral Reconstruction from Single RGB Images

gst-for-small-target-detection

This source code is for infrared small target detection method based on Generalized Structure Tensor (GST)

hsgan

HSGAN: Hyperspectral Reconstruction from RGB Images with Generative Adversarial Network. IEEE TNNLS, 2023

hyperspectral

Deep Learning for Land-cover Classification in Hyperspectral Images.

hyperspectral-image-classification-based-on-3d-octave-convolution-with-spatial-spectral-attention

hyperspectral-image-classification-with-iformer-network-feature-extraction

Hyperspectral Image Classification with IFormer Network Feature Extraction

hyperspectral-image-super-resolution-benchmark

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

jcrnet

jstars_2021_sgml

SGML: A Symmetric Graph Metric Learning Framework for Efficient Hyperspectral Image Classification, JSTARS, 2021

mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

mathtype7.0

MathTypePJ

mog-for-small-target-detection

This source code is for infrared small target detection method based on Mixture of Gaussians (MoG) with Markov random field (MRF) proposed in our paper of PR2018: Chenqiang Gao, Lan Wang, Yongxing Xiao, Qian Zhao,Deyu Meng, “Infrared small-dim target detection based on Markov random field guided noise modeling,” Pattern Recognition, vol. 76, no. Supplement C, pp. 463-475, 2018/04/01/, 2018.

ncglf2

NCGLF2

pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

rpnet

Hyperspectral Image Classification via a Random Patches Network

rsen

[IEEE TNNLS 2022] Robust Self-Ensembling Network for Hyperspectral Image Classification

rssgl

RSSGL: Statistical Loss Regularized 3-D ConvLSTM for Hyperspectral Image Classification

sacnet

Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification

seanet

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

semantic-segmentation

采用Pytorch的入门语义分割项目，支持的网络有Unet和Segnet；遥感语义分割；Unet；Segnet；Remote sensing semantic segmentation；

ssfcn

Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification

ssl-for-hsi-classification

Code for a paper accepted by TGRS