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Title: Mitigating Effects of Missing Data for SAR Coherent Images

Missing samples within synthetic aperture radar data result in image distortions. For coherent data products, such as coherent change detection and interferometric processing, the image distortion can be devastating to these second order products, resulting in missed detections and inaccurate height maps. Earlier approaches to repair the coherent data products focus upon reconstructing the missing data samples. This study demonstrates that reconstruction is not necessary to restore the quality of the coherent data products.
Authors:
;
Publication Date:
OSTI Identifier:
1343062
Report Number(s):
SAND-2016-7537J
Journal ID: ISSN 0018-9251; 646373
Grant/Contract Number:
AC04-94AL85000
Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Aerospace and Electronics Systems
Additional Journal Information:
Journal Volume: 53; Journal Issue: 2; Journal ID: ISSN 0018-9251
Publisher:
IEEE
Research Org:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org:
USDOE Laboratory Directed Research and Development (LDRD) Program
Contributing Orgs:
Oklahoma State Univ., Stillwater, OK (United States)
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; synthetic aperture radar; airborne radar; radar remote sensing; coherent change detection; radar interferometry