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SAR backscatter multitemporal compositing via local resolution weighting


Small, David (2012). SAR backscatter multitemporal compositing via local resolution weighting. In: Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, Munich, Germany, 22 July 2012 - 27 July 2012. IEEE International, 4521-4524.

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.

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.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Physical Sciences > Computer Science Applications
Physical Sciences > General Earth and Planetary Sciences
Language:English
Event End Date:27 July 2012
Deposited On:05 Dec 2012 16:46
Last Modified:30 Jan 2022 06:25
Publisher:IEEE International
ISBN:978-1-4673-1160-1
OA Status:Green
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1109/IGARSS.2012.6350465
  • Content: Published Version
  • Language: English