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Title: A new maximum-likelihood change estimator for two-pass SAR coherent change detection

Abstract

In past research, two-pass repeat-geometry synthetic aperture radar (SAR) coherent change detection (CCD) predominantly utilized the sample degree of coherence as a measure of the temporal change occurring between two complex-valued image collects. Previous coherence-based CCD approaches tend to show temporal change when there is none in areas of the image that have a low clutter-to-noise power ratio. Instead of employing the sample coherence magnitude as a change metric, in this paper, we derive a new maximum-likelihood (ML) temporal change estimate—the complex reflectance change detection (CRCD) metric to be used for SAR coherent temporal change detection. The new CRCD estimator is a surprisingly simple expression, easy to implement, and optimal in the ML sense. As a result, this new estimate produces improved results in the coherent pair collects that we have tested.

Authors:
 [1];  [1];  [1];  [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20)
OSTI Identifier:
1237379
Report Number(s):
SAND-2015-2024J
Journal ID: ISSN 0196-2892; 569615
Grant/Contract Number:
AC04-94AL85000
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
IEEE Transactions on Geoscience and Remote Sensing
Additional Journal Information:
Journal Volume: PP; Journal Issue: 99; Journal ID: ISSN 0196-2892
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 47 OTHER INSTRUMENTATION; coherent change detection; maximum likelihood estimator; radar interferometry; synthetic aperture radar

Citation Formats

Wahl, Daniel E., Yocky, David A., Jakowatz, Jr., Charles V., and Simonson, Katherine Mary. A new maximum-likelihood change estimator for two-pass SAR coherent change detection. United States: N. p., 2016. Web. doi:10.1109/TGRS.2015.2502219.
Wahl, Daniel E., Yocky, David A., Jakowatz, Jr., Charles V., & Simonson, Katherine Mary. A new maximum-likelihood change estimator for two-pass SAR coherent change detection. United States. doi:10.1109/TGRS.2015.2502219.
Wahl, Daniel E., Yocky, David A., Jakowatz, Jr., Charles V., and Simonson, Katherine Mary. 2016. "A new maximum-likelihood change estimator for two-pass SAR coherent change detection". United States. doi:10.1109/TGRS.2015.2502219. https://www.osti.gov/servlets/purl/1237379.
@article{osti_1237379,
title = {A new maximum-likelihood change estimator for two-pass SAR coherent change detection},
author = {Wahl, Daniel E. and Yocky, David A. and Jakowatz, Jr., Charles V. and Simonson, Katherine Mary},
abstractNote = {In past research, two-pass repeat-geometry synthetic aperture radar (SAR) coherent change detection (CCD) predominantly utilized the sample degree of coherence as a measure of the temporal change occurring between two complex-valued image collects. Previous coherence-based CCD approaches tend to show temporal change when there is none in areas of the image that have a low clutter-to-noise power ratio. Instead of employing the sample coherence magnitude as a change metric, in this paper, we derive a new maximum-likelihood (ML) temporal change estimate—the complex reflectance change detection (CRCD) metric to be used for SAR coherent temporal change detection. The new CRCD estimator is a surprisingly simple expression, easy to implement, and optimal in the ML sense. As a result, this new estimate produces improved results in the coherent pair collects that we have tested.},
doi = {10.1109/TGRS.2015.2502219},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
number = 99,
volume = PP,
place = {United States},
year = 2016,
month = 1
}

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