Classification of Full-Polarization SAR Images Combined with ICA-Based Speckle Reduction

WANG Hai-jiang; PI Yi-ming; CHEN Hong-yan

您当前的位置：

首页 >

文章列表页 >

Classification of Full-Polarization SAR Images Combined with ICA-Based Speckle Reduction

更新时间：2025-07-16

- Classification of Full-Polarization SAR Images Combined with ICA-Based Speckle Reduction
- Acta Electronica Sinica Vol. 34, Issue 12, Pages: 2185-2189(2006)
- 作者机构：
  
  1. 电子科技大学电子工程学院,四川,成都,610054
  2. 成都信息工程学院电子工程系,四川,成都,610225
  3. 西南科技大学信息工程学院,四川,绵阳,621010
  4. 电子科技大学电子工程学院四川成都,610054
  5. 成都信息工程学院电子工程系四川成都,610225
  6. 西南科技大学信息工程学院四川绵阳,621010
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957.52
- Published：2006
- 稿件说明：
移动端阅览
WANG Hai-jiang, PI Yi-ming, CHEN Hong-yan. Classification of Full-Polarization SAR Images Combined with ICA-Based Speckle Reduction[J]. Acta Electronica Sinica, 2006, 34(12): 2185-2189.
DOI：

WANG Hai-jiang, PI Yi-ming, CHEN Hong-yan. Classification of Full-Polarization SAR Images Combined with ICA-Based Speckle Reduction[J]. Acta Electronica Sinica, 2006, 34(12): 2185-2189. DOI：

摘要

本文提出了一种结合相干斑抑制的全极化 SAR(Synthetic Aperture Radar)图像分类新方法.该方法先对图像数据做Pauli分解

获得三个极化组合通道

并分别用三种颜色表示这三个极化组合;再用独立分量分析稀疏编码(ICA-SCS)算法对各颜色通道进行相干斑抑制

最后把三个颜色通道混合

实现了对图像信息的分类.该方法很好的保留了极化通道间的相对相位信息

同时

相干斑抑制后的数据直接用于图像分类

不需要再做任何极化通道组合.对真实SAR图像的分类结果表明

该方法对分类效果和精度有明显改善.

Abstract

A new method for full-polarization SAR images classification integrated with speckle reduction is proposed.SAR image is firstly decomposed by Pauli-decomposition approach and three combined polarization channels which are denoted by three different colors are obtained.Then the speckle of each color channel is reduced by using ICA sparse-coding shrinkage algorithm (ICA-SCS).After speckle reduction

the three channels are constituted to rebuild a classified image with less speckle noise.This method well keeps the relative phase information among the polarization channels.Furthermore

the channels after speckle reduction are directly used for classification without any other combination.The classification results of real SAR images indicate that the classification accuracy is improved obviously.

关键词

Keywords

references

Views

995

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Iterative Filtering of SAR Image Based on Speckle Statistical Characteristic Preservation

An Efficient Whitening Method for Weak Signal Extraction

A New Scheme of Digital Watermarking Based on Independent Component Analysis

Improvement Research of Parameter Estimation in Polarimetric Whitening Filter of Full-Polarization SAR Image

Related Author

WANG Shu-yun

ZHAO Quan-hua

LI Yu

LI Wan-chun

YANG Xiao-niu

LI Li-ping

ZHANG He-fa

YANG Xiao-hui

Related Institution

Institute for Remote Sensing Science and Application, School of Geomatics, Liaoning Technical University

National Key Laboratory of Information Control Technology for Communication SystemJiaxingZhejiang 314033China

School of Electronic EngineeringUniversity of Electronics Science and Technology of ChinaChengduSichuan 610054China

National Key Laboratory of Information Control Technology for Communication System

School of Electronic Engineering,University of Electronics Science and Technology of China

⁰