# 高光谱影像去除条带噪声算法

**Repository Path**: seikai_0930/Destriping-Algorithms-for-Hyperspectral-Imagery

## Basic Information

- **Project Name**: 高光谱影像去除条带噪声算法
- **Description**: 这个仓库包含了几种去除高光谱数据条纹噪声的算法实现。这些算法使用Matlab和C++重现，并在测试数据上进行了效果比较
- **Primary Language**: Matlab
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 1
- **Created**: 2024-08-14
- **Last Updated**: 2025-07-14

## Categories & Tags

**Categories**: Uncategorized

**Tags**: 遥感, 去噪

## README

## Description

This repository contains implementations of several algorithms for removing striping noise in hyperspectral data. The algorithms were reproduced using Matlab and C++, and their effectiveness was compared on test data.



## Algorithms

- Two classical TV-based: TV, UTV
- Two HTV-based: ASSTV, SSTV
- Four Low-rank-based: LRMR, LRTV, 3DTNN, 3DLogTNN
- Two Double-low-rank-based: DLR, ATVDLR



## DOI

https://doi.org/10.1109/JSTARS.2024.3352035



## Citation

If you use the code or find it helpful in your research, please consider citing: 

F., S., J., C., Y., C. & Q., Z., Comparison and Evaluation of TV-Based and Low-Rank-Based Destriping Algorithms for Hyperspectral Imagery. IEEE J-STARS 17 3452 (2024).