Mitigating Effects of Missing Data for SAR Coherent Images

Musgrove, Cameron H.; West, James C.

doi:10.1109/taes.2017.2664558

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:: Musgrove, Cameron H.; West, James C.

Publication Date:: Sun Jan 01 00:00:00 EST 2017

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

Sponsoring Org.:: USDOE Laboratory Directed Research and Development (LDRD) Program

Contributing Org.:: Oklahoma State Univ., Stillwater, OK (United States)

OSTI Identifier:: 1343062

Report Number(s):: SAND-2016-7537J
Journal ID: ISSN 0018-9251; 646373

Grant/Contract Number:: AC04-94AL85000

Resource 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

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.

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                    Musgrove, Cameron H., & West, James C. Mitigating Effects of Missing Data for SAR Coherent Images.  United States.  https://doi.org/10.1109/taes.2017.2664558

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                    Musgrove, Cameron H., and West, James C. Sun .  
"Mitigating Effects of Missing Data for SAR Coherent Images".  United States.  https://doi.org/10.1109/taes.2017.2664558.  https://www.osti.gov/servlets/purl/1343062.

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@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}

}

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Works referencing / citing this record:

Mitigation of Radio Frequency Interference in Synthetic Aperture Radar Data: Current Status and Future Trends
journal, October 2019

Tao, Mingliang; Su, Jia; Huang, Yan
Remote Sensing, Vol. 11, Issue 20
DOI: 10.3390/rs11202438

Image Formation of Azimuth Periodically Gapped SAR Raw Data with Complex Deconvolution
journal, November 2019

Qian, Yulei; Zhu, Daiyin
Remote Sensing, Vol. 11, Issue 22
DOI: 10.3390/rs11222698

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Title: Mitigating Effects of Missing Data for SAR Coherent Images

Abstract

Citation Formats

Mitigation of Radio Frequency Interference in Synthetic Aperture Radar Data: Current Status and Future Trends journal, October 2019

Image Formation of Azimuth Periodically Gapped SAR Raw Data with Complex Deconvolution journal, November 2019

Mitigation of Radio Frequency Interference in Synthetic Aperture Radar Data: Current Status and Future Trends
journal, October 2019

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journal, November 2019