DocumentCode
340459
Title
Retrieval of DEM from SIR-C data in Kunlun Mountain, West China
Author
Chao, Wang ; Hong, Zhang ; Guangdong, Pan ; Qingyou, Yang
Author_Institution
Inst. of Remote Sensing Appl., Acad. Sinica, Beijing, China
Volume
2
fYear
1999
fDate
1999
Firstpage
1357
Abstract
Data from interferometric synthetic aperture radar (INSAR) can provide three dimensional information of Earth surface by using the phase information. The authors present the processing results of SIR-C L-band data. The test site is Karakax, Xinjiang, China, which is very interesting from the seismic and geological point of view. An interactive INSAR data processor is developed for producing the topographic maps. First, the INSAR complex images are coregistered with the sub-pixel precision, the resulting interferogram is unwrapped by weighted least-squares algorithm. Ground control points are selected to estimate the INSAR parameters using least-squares algorithm, the topographic heights are derived from unwrapped phase with baseline parameters. Finally geocoding is applied to derived heights and SAR images. The rooted mean square error of the DEM is 16.14 meters
Keywords
geodesy; geophysical techniques; radar imaging; radar theory; remote sensing by radar; synthetic aperture radar; terrain mapping; topography (Earth); China; DEM; InSAR; Karakax; Kunlun Mountain; L-band; SAR; SAR interferometry; SIR-C; Xinjiang; baseline parameters; geophysical measurement technique; interferometric SAR; land surface; least-squares algorithm; phase unwrapping; radar remote sensing; spaceborne radar; synthetic aperture radar; terrain mapping; topographic height; topography; unwrapped phase; weighted least-squares algorithm; Earth; Geology; Information retrieval; L-band; Mean square error methods; Parameter estimation; Phase estimation; Surface topography; Synthetic aperture radar interferometry; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location
Hamburg
Print_ISBN
0-7803-5207-6
Type
conf
DOI
10.1109/IGARSS.1999.774629
Filename
774629
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