一种引入极化似然比检验的极化SAR滑坡形变监测方法

胡灿程; 汪长城; 沈鹏

doi:10.13203/j.whugis20200281

一种引入极化似然比检验的极化SAR滑坡形变监测方法

doi: 10.13203/j.whugis20200281

胡灿程^1,2,
汪长城^1, ,,
沈鹏¹

1 中南大学地球科学与信息物理学院, 湖南长沙, 410083;
2 广州市城市规划勘测设计研究院, 广东广州, 510000

基金项目:

国家自然科学基金（41671356）。

详细信息

作者简介:
胡灿程,硕士生,主要研究方向为极化SAR滑坡形变监测。hucancheng@csu.edu.cn

中图分类号: P237

A New Landslide Deformation Monitoring Method with Polarimetric SAR Based on Polarimetric Likelihood Ratio Test

1 School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
2 Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou 510000, China

Funds:

The National Natural Science Foundation of China(41671356).

摘要: 相较于传统单极化SAR，全极化SAR（polarimetric synthetic aperture radar，PolSAR）能够获取更加丰富的地物目标极化散射信息，更全面地描述目标的几何物理特征。为了充分利用地物目标的极化散射信息，基于复Wishart分布的极化似然比检验原理（polarimetric likelihood ratio test，PolLRT），构建了极化似然比统计量来准确评价主从影像块之间的相似性。相比传统极化SAR偏移量跟踪方法而言，该方法不仅考虑了同种极化方式间的互相关信息，而且考虑了不同极化方式间的互相关信息，提高了极化信息匹配性能。最后，通过覆盖美国科罗拉多州Slumgullion滑坡的全极化UAVSAR（unmanned aerial vehicle SAR，UAVSAR）数据来开展实验，实验结果表明，算法具有更高的形变提取精度，并且在不同匹配窗口参数下表现出更加稳健的形变提取性能。
- 形变监测 /
- 极化似然比检验 /
- 极化合成孔径雷达
Abstract: Compared with the traditional single-polarization SAR, the full-polarization SAR can obtain more abundant polarimetric scattering information and describe the geometric and physical characteristics of the target more comprehensively. To make full use of the polarimetric scattering information of ground objects, the paper utilizes the polarimetric coherence matrix used to describe distributed targets and the polarimetric likelihood ratio test (PolLRT) based on complex Wishart distribution to accurately evaluate the temporal similarity between master and slave image blocks. Compared with the traditional method, the method not only considers the cross-correlation information between the same polarization, but also considers the cross-correlation information between different polarization modes, to improve the matching performance of the time series polarization information. Finally, in the real experiment, two fully polarized Unmanned Aerial Vehicle SAR (UAVSAR) data are used as the experimental data, and the external global positioning system (GPS) deformation data is used as the reference data. The experimental results show that the proposed algorithm has higher deformation extraction accuracy and shows more robust deformation extraction performance under different matching window sizes.
- deformation monitoring /
- polarimetric likelihood ratio test /
- polarimetric synthetic aperture radar

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一种引入极化似然比检验的极化SAR滑坡形变监测方法

doi: 10.13203/j.whugis20200281

作者简介:
胡灿程,硕士生,主要研究方向为极化SAR滑坡形变监测。hucancheng@csu.edu.cn

A New Landslide Deformation Monitoring Method with Polarimetric SAR Based on Polarimetric Likelihood Ratio Test

计量

一种引入极化似然比检验的极化SAR滑坡形变监测方法

doi: 10.13203/j.whugis20200281

1 中南大学地球科学与信息物理学院, 湖南长沙, 410083;

2 广州市城市规划勘测设计研究院, 广东广州, 510000

作者简介:
胡灿程,硕士生,主要研究方向为极化SAR滑坡形变监测。hucancheng@csu.edu.cn

English Abstract

A New Landslide Deformation Monitoring Method with Polarimetric SAR Based on Polarimetric Likelihood Ratio Test

1 School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;

2 Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou 510000, China

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目录

留言板

一种引入极化似然比检验的极化SAR滑坡形变监测方法

doi: 10.13203/j.whugis20200281

作者简介: 胡灿程,硕士生,主要研究方向为极化SAR滑坡形变监测。hucancheng@csu.edu.cn

A New Landslide Deformation Monitoring Method with Polarimetric SAR Based on Polarimetric Likelihood Ratio Test

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出版历程

一种引入极化似然比检验的极化SAR滑坡形变监测方法

doi: 10.13203/j.whugis20200281

1 中南大学地球科学与信息物理学院, 湖南 长沙, 410083; 2 广州市城市规划勘测设计研究院, 广东 广州, 510000

作者简介: 胡灿程,硕士生,主要研究方向为极化SAR滑坡形变监测。hucancheng@csu.edu.cn

English Abstract

A New Landslide Deformation Monitoring Method with Polarimetric SAR Based on Polarimetric Likelihood Ratio Test

1 School of Geosciences and Info-Physics, Central South University, Changsha 410083, China; 2 Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou 510000, China

全文HTML

目录

作者简介:
胡灿程,硕士生,主要研究方向为极化SAR滑坡形变监测。hucancheng@csu.edu.cn

1 中南大学地球科学与信息物理学院, 湖南长沙, 410083;

2 广州市城市规划勘测设计研究院, 广东广州, 510000

作者简介:
胡灿程,硕士生,主要研究方向为极化SAR滑坡形变监测。hucancheng@csu.edu.cn

1 School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;

2 Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou 510000, China