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Change detection method for intensity VHF wavelength-resolution SAR images
Federal University of Pampa, BRA.
Federal University of Pampa, BRA.
Federal University of Pampa, BRA.
Aeronautics Institute of Technology, BRA.
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2021 (English)In: Proceedings of SPIE - The International Society for Optical Engineering / [ed] Bruzzone L., Bovolo F., Benediktsson J.A., SPIE , 2021, article id 118620PConference paper, Published paper (Refereed)
Abstract [en]

This paper presents the proposal of a new change detection method for intensity VHF wavelength-resolution images. High-Amplitude pixels are related to the presence of strong scatterers, resulting in high detection probability performance. However, the number of false alarms tends to be high too. In this initial study, difference images are considered to reduce the influence of the strong scatterers that are not related to targets, i.e., present in both surveillance and reference images. The proposed change detection method is based on a likelihood-ratio test, where the tested hypothesis is the bivariate exponential distribution. The derivation of the proposed likelihood test is presented. Finally, the proposed change detection method is assessed considering data measured with the CARABAS II VHF UWB SAR system. Preliminary results show that the proposed method is efficient in detecting positive changes. © 2021 SPIE.

Place, publisher, year, edition, pages
SPIE , 2021. article id 118620P
Series
Proceedings of SPIE, the International Society for Optical Engineering, ISSN 0277-786X, E-ISSN 1996-756X ; 11862
Keywords [en]
CARABAS II, Change detection method, Intensity images, VHF UWB SAR, Synthetic aperture radar, CARABAS, Change detection, Detection methods, SAR Images, UWB SAR, Wavelength resolution, Radar imaging
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-22382DOI: 10.1117/12.2599952ISI: 000759218100021Scopus ID: 2-s2.0-85118559109ISBN: 9781510645684 (print)OAI: oai:DiVA.org:bth-22382DiVA, id: diva2:1612820
Conference
Image and Signal Processing for Remote Sensing XXVII 2021, Virtual, Online, 13 September 2021 through 17 September 2021
Available from: 2021-11-19 Created: 2021-11-19 Last updated: 2022-12-02Bibliographically approved

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Vu, Viet ThuyPettersson, Mats

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