An Algorithm of Extended Terrain Classification in High Resolution SAR Images

FU Kun; KUANG Gang-yao; YU Wen-xian

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An Algorithm of Extended Terrain Classification in High Resolution SAR Images

更新时间：2025-07-16

- An Algorithm of Extended Terrain Classification in High Resolution SAR Images
- Acta Electronica Sinica Vol. 29, Issue S1, Pages: 1820-1823(2001)
- 作者机构：
  
  国防科技大学电子科学与工程学院一系,湖南,长沙,410073
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957.52
- Published：2001
- 稿件说明：
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FU Kun, KUANG Gang-yao, YU Wen-xian. An Algorithm of Extended Terrain Classification in High Resolution SAR Images[J]. Acta Electronica Sinica, 2001, 29(S1): 1820-1823.
DOI：

FU Kun, KUANG Gang-yao, YU Wen-xian. An Algorithm of Extended Terrain Classification in High Resolution SAR Images[J]. Acta Electronica Sinica, 2001, 29(S1): 1820-1823. DOI：

摘要

本文给出了一种关于高分辨率、单极化Synthetic Aperture Radar(SAR)图像目标分类的完整算法.首先

利用基于改进的相关邻域模型的Radar Cross-Section(RCS)重构算法进行目标和阴影检测

通过非线性积累把图像分割为阴影区、背景区和目标区;接着通过形态学算子进行地貌滤波和边缘提取

应用改进的Hough变换和细线化措施进行线段的连接和编组;最后利用空间联合位置模型进行目标的分类.

Abstract

A target classification algorithm in high resolution and single polarimetric SAR image is presented in this paper. Firstly

a new RCS reconstruction filter based on the modified correlated neighborhood model is used for target and shadow detection. By nonlinear iterated process

the whole image can be classified to background

shadow and targets.Secondly

a series of mor-phological operators are used to terrain filtering and edge extraction

and then through modified Hough Transform technology and the measure of slimming lines

line structures of man-made clutters in target class are linked and grouped.Finally

with special association model

the targets we are interested in are classified.

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Related Institution

National Key Laboratory of Radar Signal Processing, Xidian University

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