U-shaped Vision Mamba for Single Image Dehazing

Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection

Gated Transformer for Hyperspectral Anomaly Detection

[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

Collection of popular and reproducible image denoising works.

ULMMDL for hyperspectral target detection submitted to TIP

matlab code for hyperspectral target/anomaly detection

Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection

This is a demo program for Box-plot figure or statistical separability analysis figure, which can be used for hyperspectral target detection, anomaly detetion or change detection and so on.

This project provides an implementation for "Background Learning Based on Target Suppression Constraint for Hyperspectral Target Detection"

Resource collection for the paper "Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods" (SPM 2023).

The WorldStrat Dataset

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

GatorSense Hyperspectral Image Analysis Toolkit

Hyper-spectral Anomaly Detection With Attribute and Edge-Preserving Filters

BRITS Test

Machine learning for transportation data imputation and prediction.

This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to ex…

Using machine learning method to estimate PM2.5 concentrations in China

A major challenge involving pollution detection is to measure the average PM2.5 concentration over major metropolitan areas. One useful method for predicting PM2.5 over a relatively wide range are …

A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.

Pytorch code of "Hyperspectral Anomaly Change Detection Based on Auto-encoder"

A pytorch implementation of paper "Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery"

Paper and Code about my research on hyperpsectral anomaly detection