Title :
Geo-location error correction using sensor parameters extracted from spaceborne SAR raw data
Author :
Song, Sun H. ; Oh, Tae B. ; Kwag, Young K.
Author_Institution :
Dept. of Avionics, Korea Aerosp. Univ., Seoul, South Korea
Abstract :
Spaceborne SAR imagery inherently contains the errors from the ground range nonlinearity and earth rotation. The fusion of SAR image and GIS information may enhance the SAR image quality by correcting the geometric error which is induced from the geo-location and terrain error. In this paper, a geo-location error correction method is proposed. This scheme does not require the aids of GCP and DEM, and instead directly extract the key correction parameters from the SAR raw data. The simulation results using Radarsat-1 SAR image shows good performance in correcting a geo-location error without aid of auxiliary data.
Keywords :
error correction; image fusion; radar imaging; spaceborne radar; synthetic aperture radar; GIS information; Radarsat-1 SAR image; SAR image quality; earth rotation; geo-location error correction method; geometric error; ground range nonlinearity; sensor parameters extraction; spaceborne SAR raw data; Data mining; Earth; Error correction; Geographic Information Systems; Geometry; Nonlinear distortion; Parameter extraction; Satellites; Spaceborne radar; Synthetic aperture radar; SAR geometric calibration; SAR parameter extraction; geo-location error;
Conference_Titel :
Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
Conference_Location :
Xian, Shanxi
Print_ISBN :
978-1-4244-2731-4
Electronic_ISBN :
978-1-4244-2732-1
DOI :
10.1109/APSAR.2009.5374207