DocumentCode :
1345142
Title :
ENVISAT ASAR data reduction: impact on SAR interferometry
Author :
McLeod, Ian H. ; Cumming, Ian G. ; Seymour, Michael S.
Author_Institution :
Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada
Volume :
36
Issue :
2
fYear :
1998
fDate :
3/1/1998 12:00:00 AM
Firstpage :
589
Lastpage :
602
Abstract :
An onboard synthetic aperture radar (SAR) signal-data reduction algorithm called Flexible Block Adaptive Quantization (FBAQ) was developed in 1994 for the Advanced SAR (ASAR) on the ENVISAT satellite. This paper presents work done in a follow-on study that examined the impact of the data-reduction algorithm on the accuracy of two digital elevation models (DEM) produced by using the technique of repeat-pass SAR interferometry. All three allowable data compression ratios were investigated to determine the maximum compression ratio appropriate for SAR interferometry. Based on the scenes studied it was concluded that a reduction from 8 to 4-bits/sample was the maximum data reduction ratio appropriate for precision SAR interferometry, while 8 to 3-bits/sample and 8 to 2-bits/sample encoding were only appropriate for less-demanding wide-swath applications
Keywords :
adaptive signal processing; geodesy; geophysical techniques; radar imaging; radar signal processing; remote sensing by radar; spaceborne radar; synthetic aperture radar; topography (Earth); Advanced SAR; ENVISAT ASAR data reduction; FBAQ; Flexible Block Adaptive Quantization; SAR interferometry; adaptive signal processing; data compression ratio; data reduction algorithm; data-reduction algorithm; digital elevation model; geodesy; geophysical measurement technique; land surface; land surface topography; maximum compression ratio; onboard radar signal processing; radar imaging; radar remote sensing; repeat-pass SAR interferometry; spaceborne radar; synthetic aperture radar; terrain mapping; Application specific integrated circuits; Data compression; Digital elevation models; Encoding; High-resolution imaging; Image sensors; Interferometry; Quantization; Satellites; Synthetic aperture radar;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.662741
Filename :
662741
Link To Document :
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