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Bivariate Gamma Distribution for Wavelength-Resolution SAR Change Detection
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för matematik och naturvetenskap.
Universidade Federal de Santa Maria, BRA.
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för matematik och naturvetenskap.ORCID-id: 0000-0002-6643-312x
Saab Surveillance, SWE.
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2019 (engelsk)Inngår i: IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, E-ISSN 1558-0644, Vol. 57, nr 1, s. 473-481Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

A gamma probability density function (pdf) is shown to be an alternative to model the distribution of the magnitudes of high-resolution, i.e., wavelength-resolution, synthetic aperture radar (SAR) images. As investigated in this paper, it is more appropriate and more realistic statistical in comparison with, e.g., Rayleigh. A bivariate gamma pdf is considered for developing a statistical hypothesis test for wavelength-resolution incoherent SAR change detection. The practical issues in implementation of statistical hypothesis test, such as assumptions on target magnitudes, estimations for scale and shape parameters, and implementation of modified Bessel function, are addressed. This paper also proposes a simple processing scheme for incoherent change detection to validate the proposed statistical hypothesis test. The proposal was experimented with 24 CARABAS data sets. With an average detection probability of 96%, the false alarm rate is only 0.47 per square kilometer. IEEE

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers Inc. , 2019. Vol. 57, nr 1, s. 473-481
Emneord [en]
Bivariate gamma, CARABAS, change detection, synthetic aperture radar (SAR)., Probability density function, Probability distributions, Radar imaging, Statistical tests, Tracking radar, Bivariate, Bivariate gamma distribution, Probability density function (pdf), Scale and shape parameters, Statistical hypothesis test, Synthetic aperture radar (SAR) images, Synthetic aperture radar
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Identifikatorer
URN: urn:nbn:se:bth-16936DOI: 10.1109/TGRS.2018.2856926ISI: 000455089000036Scopus ID: 2-s2.0-85051396922OAI: oai:DiVA.org:bth-16936DiVA, id: diva2:1241567
Tilgjengelig fra: 2018-08-24 Laget: 2018-08-24 Sist oppdatert: 2019-01-28bibliografisk kontrollert

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