DocumentCode
2190777
Title
SAR backscatter multitemporal compositing via local resolution weighting
Author
Small, David
Author_Institution
Dept. of Geogr., Univ. of Zurich, Zurich, Switzerland
fYear
2012
fDate
22-27 July 2012
Firstpage
4521
Lastpage
4524
Abstract
A method is presented for generating composite SAR imagery from a set of multiple radiometrically terrain-corrected (RTC) backscatter images and their co-registered local illuminated areas. The process is implemented in map geometry: the resolution of each image is estimated locally as the inverse of the local contributing area and used to weight the contributions from all available observations. Some potential contributors could be out-of-swath or occluded by radar shadow. The resulting composite backscatter image can trade off temporal resolution for improved local spatial resolution while simultaneously increasing the local number of looks. The composite image is characterized by more homogenous properties (resolution, noise) in comparison to single acquisitions. The technique is demonstrated using ScanSAR data from ENVISAT ASAR and Radarsat-2.
Keywords
backscatter; geophysical image processing; image resolution; radar imaging; radiometry; remote sensing by radar; ENVISAT ASAR; Radarsat-2; SAR backscatter multitemporal compositing; ScanSAR data; composite SAR image generation; composite backscatter image; coregistered local illuminated area; image resolution; local contributing area; local resolution weighting; local spatial resolution; map geometry; multiple radiometrically terrain corrected backscatter image; radar shadow; temporal resolution; Backscatter; Radiometry; Remote sensing; Spatial resolution; Synthetic aperture radar; Geometry; Radar terrain factors; Radiometry; SAR; Terrain;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350465
Filename
6350465
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