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Stability in Sar Change Detection Results Using Bivariate Rayleigh Distribution for Statistical Hypothesis Test
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-6643-312x
Federal University of Santa Maria, BRA.
2019 (English)In: International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc. , 2019, p. 37-40, article id 8898728Conference paper, Published paper (Refereed)
Abstract [en]

A statistical hypothesis test for wavelength-resolution SAR change detection can be derived with the bivariate distributions such as Rayleigh, Gamma and K. The paper investigates the stability of change detection results obtained with a statistical hypothesis test using bivariate Rayleigh distribution. Some practical issues concerning the implementation of the statistical hypothesis test such as scale parameter estimation, target magnitude assumptions and Bessel function calculation are also addressed. The statistical hypothesis test using bi-variate Rayleigh distribution are experimented with the data set containing 24 CARABAS II images. It is shown that beside the simplicity and efficiency, a statistical hypothesis test using bivariate Rayleigh distribution can provide very stable change detection results. © 2019 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019. p. 37-40, article id 8898728
Keywords [en]
bivariate gamma, bivariate Rayleigh, CARABAS, change detection, SAR
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-19142DOI: 10.1109/IGARSS.2019.8898728ISI: 000519270600010Scopus ID: 2-s2.0-85077717158ISBN: 978-1-5386-9154-0 (print)OAI: oai:DiVA.org:bth-19142DiVA, id: diva2:1387970
Conference
39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Yokohama, 28 July 2019 through 2 August 2019
Available from: 2020-01-23 Created: 2020-01-23 Last updated: 2020-04-16Bibliographically approved

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Vu, Viet ThuyPettersson, Mats

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CiteExportLink to record
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Citation style
  • apa
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