DocumentCode
2135748
Title
A novel hybrid method to unwrapping interferometric phase
Author
Zeng, Qiming ; Jiao, Jian ; Zhang, Hua
Author_Institution
Hua Zhang Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
Volume
4
fYear
2004
fDate
20-24 Sept. 2004
Firstpage
2632
Abstract
Phase unwrapping is the most difficult and unavoidable problem in the interferometric synthetic aperture radar (InSAR) processing procedures. Intensive researches have been done and the methods proposed were summarized into two categories: path following and minimum norm. Unwrapping result by path following is congruent with wrapped phase and require less time and memory. While minimum norm method usually could not obtain congruent result directly and take more computing resource. Weighting could improve phase unwrapping result very much if the suspicious region could be correctively separated out by weighting function. However, common used weighting such as coherence or phase gradient could not serve this purpose very well. In this paper, we proposed a novel method to unwrap phase, which combined the advantages of both categories, and set weight based on phase unwrapping consistence. We demonstrated the method with real InSAR phase. The unwrapping result showed the novel method could recover the dynamic range of phase than least square method while keep correct trend.
Keywords
geophysical signal processing; gradient methods; least squares approximations; radar imaging; radiowave interferometry; remote sensing by radar; synthetic aperture radar; terrain mapping; InSAR processing; interferometric phase unwrapping; interferometric synthetic aperture radar; least square method; minimum norm; path following; phase gradient; region growth; suspicious region separation; weighting function; Dynamic range; Frequency; Geographic Information Systems; Image sampling; Least squares methods; Optimization methods; Remote sensing; Seismic measurements; Surface topography; Synthetic aperture radar interferometry;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN
0-7803-8742-2
Type
conf
DOI
10.1109/IGARSS.2004.1369839
Filename
1369839
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