DocumentCode :
1489128
Title :
A New Method for Correcting ScanSAR Scalloping Using Forests and Inter-SCAN Banding Employing Dynamic Filtering
Author :
Shimada, Masanobu
Author_Institution :
Earth Obs. Res. Center, Japan Aerosp. Exploration Agency (JAXA), Tsukuba, Japan
Volume :
47
Issue :
12
fYear :
2009
Firstpage :
3933
Lastpage :
3942
Abstract :
The Scanning Synthetic Aperture Radar (ScanSAR) is very useful for Earth observation because of its wider imaging swath and shorter revisit time. However, ScanSAR is sometimes affected by the following three artifacts: (1) scalloping, which often appears as repeating weak azimuth stripes at both edges of the focused burst image; (2) azimuth ambiguity (i.e., a form of ghosting that appears over the adjacent uniform area when the pulse repetition frequency is below the Doppler bandwidth); and (3) radiometric discontinuity (i.e., banding) between two adjacent scans. This paper proposes three methods to correct these artifacts, which are, specifically, the proposal for scalloping correction using Amazon Rainforest data, band limitation, and the correction for the inter SCAN banding using the dynamic gain correction algorithm. Several corrected sample data sets of the Phased-Array L-band SAR onboard the Advanced Land-Observing Satellite are presented to demonstrate the validity of the proposed methods.
Keywords :
geophysical techniques; geophysics computing; image processing; remote sensing by radar; synthetic aperture radar; vegetation; Advanced Land-Observing Satellite; Amazon Rainforest data; Doppler bandwidth; Earth observation; Phased-Array L-band SAR; ScanSAR scalloping correction; Scanning Synthetic Aperture Radar; artifacts correction; azimuth stripes; band limitation; dynamic filtering; dynamic gain correction algorithm; focused burst image edges; forests; ghosting; inter-SCAN banding; pulse repetition frequency; radiometric discontinuity; Advanced Land Observing Satellite (ALOS); Amazon data; Phased-Array L-band Synthetic Aperture Radar (PALSAR); Scanning SAR (ScanSAR); banding; scalloping; signal truncation;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2009.2027596
Filename :
5272352
Link To Document :
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