太阳成8722(中国)有限公司-GREEN NO.1

标题：High Precision DEM Generation Algorithm Based on InSAR Multi-Look Iteration

作者：Gao, XM (Gao, Xiaoming); Liu, YL (Liu, Yaolin); Li, T (Li, Tao); Wu, DQ (Wu, Danqin)

来源出版物：REMOTE SENSING卷：9期：7 文献号: 741 DOI：10.3390/rs9070741 出版年：JUL 2017

摘要：Interferometric Synthetic Aperture Radar (InSAR) is one of the most sufficient technologies to provide global digital elevation modeling (DEM). It unwraps the interferometric phase to provide observations for phase-to-height conversion. However, the phase gradient has great influence on the phase unwrapping quality, thereby affecting the topographic mapping accuracy. Multi-look processing can improve the reliability of phase unwrapping by reducing the noise phase gradient. Nevertheless, it reduces the spatial resolution while increasing the height phase gradient, thus lowering the reliability of height values. In this paper, we propose a multi-look iteration algorithm to suppress the noise and maintain the reliability of height values. First, we use a large number of looks (NL) to suppress the noise phase gradient and obtain a coarse DEM. Then taking this coarse DEM as a reference, we remove the topographic phase from the interferogram with a small NL, which will reduce height phase gradient and ensure the accuracy of phase unwrapping. Finally, we obtain DEM products with high precision and fine resolution. We validate the proposed algorithm using both simulated and real data, and obtain DEM products in a greatly undulated region using TanDEM-X data. Results show that the proposed method is capable of providing DEM with resolution of 4 m and accuracy of 1.73 m.

入藏号：WOS:000406676800104

文献类型：Article

语种：English

作者关键词： InSAR; multi-look iteration; DEM; TanDEM-X

扩展关键词： SATELLITE RADAR INTERFEROMETRY; TANDEM-X; SAR INTERFEROMETRY; LANDERS EARTHQUAKE; CALIBRATION; INTERFEROGRAMS; STATISTICS; TOPOGRAPHY; MINIMUM; SYSTEM

通讯作者地址：Liu, YL (通讯作者),Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.

电子邮件地址：gaoxm@sasmac.cn; yaolin610@163.com; lit@sasmac.cn; swjtuxq@my.swjtu.edu.cn

地址：

[Gao, Xiaoming; Liu, Yaolin] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.

[Gao, Xiaoming; Li, Tao] Natl Adm Surveying Mapping & Geoinformat, Satellite Surveying & Mapping Applicat Ctr, Beijing 100048, Peoples R China.

[Gao, Xiaoming] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210046, Jiangsu, Peoples R China.

[Wu, Danqin] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, 999 Xian Rd, Chengdu 611756, Sichuan, Peoples R China.

研究方向：Remote Sensing

ISSN：2072-4292

影响因子：3.244