DocumentCode :
1887655
Title :
Application of RPC model for InSAR phase evaluation
Author :
Fei, Wen-bo ; Zhang, Guo ; Li, Zhen
Author_Institution :
State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
1693
Lastpage :
1695
Abstract :
InSAR is a technique to extract three-dimensional information on the terrain topography from the phase of the SAR signal and the rational polynomial coefficient (RPC) model has raised considerable interest in the photogrammetry and remote sensing communities. Some work has been done on the RPC model´s substitutability for the SAR rigorous sensor model, which is based on the Range-Doppler (RD) equation, moreover, there have been study discussing the substitutability of the RPC model to InSAR (Interferometric SAR) rigorous geometrical sensor model, which is based on the RD equation and phase equation.For the InSAR process, baseline evaluation is very important for the final extracted DEM, but when using RPC model for the replacement of InSAR rigorous geometrical sensor model, the parameter of baseline cannot be included explicitly. Hence, we contend that phase evaluation can be substituted for the baseline evaluation, and it can be applied for RPC model, which can compensate the error caused by orbit and can rebuild the real phase.
Keywords :
Doppler effect; geophysical image processing; photogrammetry; radar interferometry; remote sensing by radar; synthetic aperture radar; terrain mapping; topography (Earth); 3D information; InSAR phase evaluation; RPC model; SAR rigorous sensor model; SAR signal phase; baseline evaluation; interferometric SAR rigorous geometrical sensor model; phase equation; photogrammetry; range-Doppler equation; rational polynomial coefficient model; remote sensing; terrain topography; Data mining; Mathematical model; Orbits; Polynomials; Remote sensing; Solid modeling; InSAR; RPC model; phase evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049560
Filename :
6049560
Link To Document :
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