热含量不变量的SAR图像点特征变化检测

罗湾; 林伟; 张红波

doi:10.3724/SP.J.1004.2014.01126

热含量不变量的SAR图像点特征变化检测

doi: 10.3724/SP.J.1004.2014.01126

罗湾^1,2,
林伟¹,
张红波²

1.
西北工业大学理学院西安 710129;
2.
中国航空工业集团公司雷华电子技术研究所无锡 214063

基金项目:

国家自然科学基金（60972150），青年科学基金（61201323，61301196），十二五预研项目（402040202）资助

详细信息

作者简介:
林伟西北工业大学副教授. 主要研究方向为统计信号处理，SAR 及极化SAR图像处理. E-mail：linwei@nwpu.edu.cn

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- 文章访问数: 1724
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- 被引次数: 0
出版历程
- 收稿日期: 2012-11-02
- 修回日期: 2013-11-11
- 刊出日期: 2014-06-20

A Change Detection Method of SAR Image Using Point Signature Based on Heat Content Invariants

1.
School of Science, Northwestern Polytechnical University, Xi'an 710129;
2.
AVIC Leihua Electronic Technology Institute, Wuxi 214063

Funds:

Supported by National Natural Science Foundation of China (60972150), Youth Science Foundation (61201323, 61301196), Twelve Five Pre-research Project (402040202)

摘要

摘要: 针对区域变化检测受分类器精度影响大、无法探测出内部细微变化这一问题，本文提出了基于热含量不变量的合成孔径雷达（Synthetic aperture radar，SAR）图像点特征变化检测.该方法利用热核特征，具有计算简便、矩阵扰动性小的特点，且有效地降低了噪声的干扰.由热核不变量的统计特性，采用期望极大化（Expectation maximization，EM）算法解决了SAR图像的自动变化检测.同时通过对权的讨论，给出了适用于SAR图像的权函数定义.对单波段单极化SAR与多极化SAR图像，本文算法相比于基于像素和似然比的方法，能够更快速更精确地检测到变化区域.
- SAR图像 /
- 热含量不变量 /
- 变化检测 /
- EM算法
Abstract: The result of the methods of image change detection are affected by classifier precision and can hardly detect the image subtle change. To address this issue, this paper proposes a point signature change detection algorithm based on heat content invariants. This method, which uses the characteristics of heat kernel on graphs, is convenient to compute and has small matrix perturbation. It also can effectively reduce the noise disturbance. Based on the statistical characteristics of heat kernel invariants, the changes about synthetic aperture radar (SAR) image can be automatically detected by the expectation maximization (EM) algorithm. In addition, a weight function which is suitable for SAR image is put forward. Compared with the pixel-based and likelihood ratio method, our method can more quickly and accurately detect the change area of single band and single-polarization SAR image and multi-polarization SAR image.
- SAR image /
- heat content invariants /
- change detection /
- expectation maximization (EM) algorithm

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参考文献(27)

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