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Title: Mitigating Effects of Missing Data for SAR Coherent Images

Abstract

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:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1343062
Report Number(s):
SAND-2016-7537J
Journal ID: ISSN 0018-9251; 646373
Grant/Contract Number:
AC04-94AL85000
Resource Type:
Journal Article: 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
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; synthetic aperture radar; airborne radar; radar remote sensing; coherent change detection; radar interferometry

Citation Formats

Musgrove, Cameron H., and West, James C.. Mitigating Effects of Missing Data for SAR Coherent Images. United States: N. p., 2017. Web. doi:10.1109/taes.2017.2664558.
Musgrove, Cameron H., & West, James C.. Mitigating Effects of Missing Data for SAR Coherent Images. United States. doi:10.1109/taes.2017.2664558.
Musgrove, Cameron H., and West, James C.. Sun . "Mitigating Effects of Missing Data for SAR Coherent Images". United States. doi:10.1109/taes.2017.2664558. https://www.osti.gov/servlets/purl/1343062.
@article{osti_1343062,
title = {Mitigating Effects of Missing Data for SAR Coherent Images},
author = {Musgrove, Cameron H. and West, James C.},
abstractNote = {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.},
doi = {10.1109/taes.2017.2664558},
journal = {IEEE Transactions on Aerospace and Electronics Systems},
number = 2,
volume = 53,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2017},
month = {Sun Jan 01 00:00:00 EST 2017}
}

Journal Article:
Free Publicly Available Full Text
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  • For synthetic aperture radar systems, missing data samples can cause severe image distortion. When multiple, coherent data collections exist and the missing data samples do not overlap between collections, there exists the possibility of replacing data samples between collections. For airborne radar, the known and unknown motion of the aircraft prevents direct data sample replacement to repair image features. Finally, this paper presents a method to calculate the necessary phase corrections to enable data sample replacement using only the collected radar data.
  • Abstract not provided.
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