Change detection in a time series of polarimetric SAR data by an omnibus test statistic and its factorization

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Abstract

Based on an omnibus likelihood ratio test statistic for the equality of several variance-covariance matrices following the complex Wishart distribution with an associated p-value and a factorization of this test statistic, change analysis in a short sequence of multilook, polarimetric SAR data in the covariance matrix representation is carried out. The omnibus test statistic and its factorization detect if and when change(s) occur. The technique is demonstrated on airborne EMISAR L-band data but may be applied to Sentinel-1, Cosmo-SkyMed, TerraSAR-X, ALOS and RadarSat-2 or other dual- and quad/full-pol, and even single-pol data also.
Original languageEnglish
Title of host publicationProceedings of SPIE: Image and Signal Processing for Remote Sensing XXII
Number of pages2
Volume10004
PublisherSPIE - International Society for Optical Engineering
Publication date2016
DOIs
Publication statusPublished - 2016
SeriesProceedings of S P I E - International Society for Optical Engineering
Volume10004
ISSN0277-786X

Bibliographical note

Copyright 2016 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

Cite this

Nielsen, A. A., Conradsen, K., & Skriver, H. (2016). Change detection in a time series of polarimetric SAR data by an omnibus test statistic and its factorization. In Proceedings of SPIE: Image and Signal Processing for Remote Sensing XXII (Vol. 10004). SPIE - International Society for Optical Engineering. Proceedings of S P I E - International Society for Optical Engineering, Vol.. 10004 https://doi.org/10.1117/12.2242178
Nielsen, Allan Aasbjerg ; Conradsen, Knut ; Skriver, Henning. / Change detection in a time series of polarimetric SAR data by an omnibus test statistic and its factorization. Proceedings of SPIE: Image and Signal Processing for Remote Sensing XXII. Vol. 10004 SPIE - International Society for Optical Engineering, 2016. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 10004).
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abstract = "Based on an omnibus likelihood ratio test statistic for the equality of several variance-covariance matrices following the complex Wishart distribution with an associated p-value and a factorization of this test statistic, change analysis in a short sequence of multilook, polarimetric SAR data in the covariance matrix representation is carried out. The omnibus test statistic and its factorization detect if and when change(s) occur. The technique is demonstrated on airborne EMISAR L-band data but may be applied to Sentinel-1, Cosmo-SkyMed, TerraSAR-X, ALOS and RadarSat-2 or other dual- and quad/full-pol, and even single-pol data also.",
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Nielsen, AA, Conradsen, K & Skriver, H 2016, Change detection in a time series of polarimetric SAR data by an omnibus test statistic and its factorization. in Proceedings of SPIE: Image and Signal Processing for Remote Sensing XXII. vol. 10004, SPIE - International Society for Optical Engineering, Proceedings of S P I E - International Society for Optical Engineering, vol. 10004. https://doi.org/10.1117/12.2242178

Change detection in a time series of polarimetric SAR data by an omnibus test statistic and its factorization. / Nielsen, Allan Aasbjerg; Conradsen, Knut; Skriver, Henning.

Proceedings of SPIE: Image and Signal Processing for Remote Sensing XXII. Vol. 10004 SPIE - International Society for Optical Engineering, 2016. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 10004).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Nielsen AA, Conradsen K, Skriver H. Change detection in a time series of polarimetric SAR data by an omnibus test statistic and its factorization. In Proceedings of SPIE: Image and Signal Processing for Remote Sensing XXII. Vol. 10004. SPIE - International Society for Optical Engineering. 2016. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 10004). https://doi.org/10.1117/12.2242178