DocumentCode :
2683488
Title :
Highly accurate DSM reconstruction using Ku-band airborne InSAR
Author :
Okada, Yoshitaka ; Hirao, C. ; Horiuchi, T.K. ; Hara, Yoshitaka ; Yedidia, J.S. ; Azarbayejani, A. ; Oishi, Noboru
Author_Institution :
Mitsubishi Electr. Corp., Kamakura
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
5049
Lastpage :
5052
Abstract :
We present a newly developed airborne InSAR system incorporating a novel phase unwrapping algorithm, capable of retrieving a highly accurate Digital Surface Model (DSM). The SAR sensor system, with a spatial resolution of 30 cm, is carried on an airborne platform which has 2 antennas placed in a baseline length of 1 m. We have established a DSM reconstruction processing technique, which includes the new "Iterated Conditional Modes-Minimum Cost Flow" (ICM-MCF) phase-unwrapping algorithm. The ICM-MCF algorithm finds a locally optimal configuration of unwrapped phases under a well-characterized statistical model of the terrain and noise. An experimental field observation was carried out in Tsukuba, Japan. The DSM was generated, and the height accuracy of the SAR-DSM was evaluated by comparing with laser profiler data. For 50 cm x 50 cm mesh, an accuracy of better than 50 cm in height was confirmed.
Keywords :
geophysical techniques; geophysics computing; image reconstruction; synthetic aperture radar; DSM reconstruction; ICM-MCF algorithm; Japan; Tsukuba; airborne InSAR; digital surface model; iterated conditional modes-minimum cost flow algorithm; phase unwrapping algorithm; Bandwidth; Data processing; Instruments; Master-slave; Optical interferometry; Remote monitoring; Sensor systems; Spatial resolution; Synthetic aperture radar interferometry; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4423996
Filename :
4423996
Link To Document :
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