IOE OpenIR  > 光电技术研究所被WoS收录文章
Coregistration based on stochastic parallel gradient descent algorithm for SAR interferometry
Long, Xuejun1,2,3; Fu, Sihua3; Yu, Qifeng3; Wang, Sanhong4; Qi, Bo1,2; Ren, Ge1,2
Source PublicationREMOTE SENSING LETTERS
Volume5Issue:11Pages:991-1000
2014-11-01
Language英语
Indexed BySCI
WOS IDWOS:000348432000007
SubtypeArticle
AbstractThe 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 KeywordAPERTURE RADAR INTERFEROMETRY ; PHASE-DISTORTION CORRECTION ; LASER-BEAM PROJECTION ; IMAGE AUTOCOREGISTRATION ; FIBER COLLIMATORS ; ADAPTIVE ARRAY ; OPTIMIZATION ; REGISTRATION
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/2491
Collection光电技术研究所被WoS收录文章
Affiliation1.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
GB/T 7714
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.
APA Long, Xuejun,Fu, Sihua,Yu, Qifeng,Wang, Sanhong,Qi, Bo,&Ren, Ge.(2014).Coregistration based on stochastic parallel gradient descent algorithm for SAR interferometry.REMOTE SENSING LETTERS,5(11),991-1000.
MLA Long, Xuejun,et al."Coregistration based on stochastic parallel gradient descent algorithm for SAR interferometry".REMOTE SENSING LETTERS 5.11(2014):991-1000.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Long, Xuejun]'s Articles
[Fu, Sihua]'s Articles
[Yu, Qifeng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Long, Xuejun]'s Articles
[Fu, Sihua]'s Articles
[Yu, Qifeng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Long, Xuejun]'s Articles
[Fu, Sihua]'s Articles
[Yu, Qifeng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.