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

Wahl, Daniel E.; Yocky, David A.; Jakowatz, Jr., Charles V.; Simonson, Katherine Mary

doi:10.1109/TGRS.2015.2502219

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

Abstract

In previous 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:

Wahl, Daniel E. ^[1]; Yocky, David A. ^[1]; Jakowatz, Jr., Charles V. ^[1]; Simonson, Katherine Mary ^[1]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Publication Date:: Mon Jan 11 00:00:00 EST 2016

Research Org.:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation

OSTI Identifier:: 1237379

Report Number(s):: SAND-2015-2024J
Journal ID: ISSN 0196-2892; 569615

Grant/Contract Number:: AC04-94AL85000

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Geoscience and Remote Sensing

Additional Journal Information:: Journal Volume: 54; Journal Issue: 4; Journal ID: ISSN 0196-2892

Publisher:: IEEE

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.

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                    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.  https://doi.org/10.1109/TGRS.2015.2502219

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                    Wahl, Daniel E., Yocky, David A., Jakowatz, Jr., Charles V., and Simonson, Katherine Mary. Mon .  
"A new maximum-likelihood change estimator for two-pass SAR coherent change detection".  United States.  https://doi.org/10.1109/TGRS.2015.2502219.  https://www.osti.gov/servlets/purl/1237379.

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@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 previous 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       = 4,

  volume       = 54,

  place        = {United States},

  year         = {Mon Jan 11 00:00:00 EST 2016},

  month        = {Mon Jan 11 00:00:00 EST 2016}

}

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Works referencing / citing this record:

A new maximum likelihood polarimetric interferometric synthetic aperture radar coherence change detection (ML-PolInSAR-CCD)
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Wiratama, Wahyu; Sim, Donggyu
Applied Sciences, Vol. 9, Issue 7
DOI: 10.3390/app9071441

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