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题名:
Coregistration based on stochastic parallel gradient descent algorithm for SAR interferometry
作者: Long, Xuejun1,2,3; Fu, Sihua3; Yu, Qifeng3; Wang SanHong(王三宏)4; Qi, Bo1,2; Ren, Ge1,2
刊名: REMOTE SENSING LETTERS
出版日期: 2014-11-01
卷号: 5, 期号:11, 页码:991-1000
文章类型: Article
英文摘要: The coregistration of complex image pairs is a very important step in interferometric synthetic aperture radar (InSAR) data processing. This article proposes a coregistration method based on the stochastic parallel gradient descent (SPGD) algorithm. Stochastic parallel perturbations are imposed on the translation coefficients of the polynomial coregistration model to make the performance evaluation function converge to a global extremum, which allows the translation coefficients to be obtained, and then the coregistration is achieved after resampling. Data processing of images from Kashgar and Mount Etna show that the proposed method is effective and robust. Furthermore, a series of experiments is designed to evaluate the convergence characteristics of the proposed method, which indicates that it has a stable convergence process and good robustness.
WOS标题词: Science & Technology ; Technology
类目[WOS]: Remote Sensing ; Imaging Science & Photographic Technology
研究领域[WOS]: Remote Sensing ; Imaging Science & Photographic Technology
关键词[WOS]: APERTURE RADAR INTERFEROMETRY ; PHASE-DISTORTION CORRECTION ; LASER-BEAM PROJECTION ; IMAGE AUTOCOREGISTRATION ; FIBER COLLIMATORS ; ADAPTIVE ARRAY ; OPTIMIZATION ; REGISTRATION
收录类别: SCI
语种: 英语
WOS记录号: WOS:000348432000007
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/2491
Appears in Collections:光电技术研究所被WoS收录文章_期刊论文

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作者单位: 1.Chinese Acad Sci, Inst Opt & Elect, Chengdu, Sichuan, Peoples R China
2.Chinese Acad Sci, Beam Control Lab, Chengdu, Sichuan, Peoples R China
3.Natl Univ Def Technol, Coll Optoelect Sci & Engn, Changsha, Hunan, Peoples R China
4.Taiyuan Satellite Launch Ctr, Taiyuan, Shanxi, Peoples R China

Recommended Citation:
Long, Xuejun,Fu, Sihua,Yu, Qifeng,et al. Coregistration based on stochastic parallel gradient descent algorithm for SAR interferometry[J]. REMOTE SENSING LETTERS,2014,5(11):991-1000.
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