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Title: Replacing missing data between airborne SAR coherent image pairs

Abstract

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.

Authors:
 [1];  [2]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Oklahoma State Univ., Stillwater, OK (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1373290
Report Number(s):
SAND-2017-7579J
Journal ID: ISSN 0018-9251; 655471; TRN: US1702202
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: PP; Journal Issue: 99; Journal ID: ISSN 0018-9251
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; synthetic aperture radar; radar remote sensing; airborne radar; interference; missing data

Citation Formats

Musgrove, Cameron H., and West, James C. Replacing missing data between airborne SAR coherent image pairs. United States: N. p., 2017. Web. doi:10.1109/taes.2017.2733860.
Musgrove, Cameron H., & West, James C. Replacing missing data between airborne SAR coherent image pairs. United States. doi:10.1109/taes.2017.2733860.
Musgrove, Cameron H., and West, James C. Mon . "Replacing missing data between airborne SAR coherent image pairs". United States. doi:10.1109/taes.2017.2733860.
@article{osti_1373290,
title = {Replacing missing data between airborne SAR coherent image pairs},
author = {Musgrove, Cameron H. and West, James C.},
abstractNote = {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.},
doi = {10.1109/taes.2017.2733860},
journal = {IEEE Transactions on Aerospace and Electronics Systems},
number = 99,
volume = PP,
place = {United States},
year = {Mon Jul 31 00:00:00 EDT 2017},
month = {Mon Jul 31 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
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  • 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.
  • No abstract prepared.
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