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EMPIRICAL-STATISTICAL ANALYSIS OF AMPLITUDE SAR IMAGES FOR CHANGE DETECTION ALGORITHMS
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
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
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2015 (English)In: 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, p. 365-368Conference paper, Published paper (Refereed)
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Text
Abstract [en]

This paper presents an analysis of pre-filtered clutter VHF SAR images. The image data are reorganized into sub-vectors based on the observation of the image-pair magnitude samples. Based on this approach, we present a statistical description of the SAR clutter obtained by the subtraction between two real SAR images. The statistical analysis based on bivariate distribution data organized into different intervals of magnitude can be an important tool to further understand the properties of the backscattered signal, which can be a valuable premise for change detection processing.

Place, publisher, year, edition, pages
2015. p. 365-368
Series
IEEE International Symposium on Geoscience and Remote Sensing IGARSS, ISSN 2153-6996
Keywords [en]
Low-frequency SAR; clutter distribution; CDA; statistical analysis
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Communication Systems
Identifiers
URN: urn:nbn:se:bth-11858ISI: 000371696700094ISBN: 978-1-4799-7929-5 (print)OAI: oai:DiVA.org:bth-11858DiVA, id: diva2:925502
Conference
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), JUL 26-31, 2015, Milan, ITALY
Available from: 2016-05-02 Created: 2016-05-02 Last updated: 2017-03-07Bibliographically approved

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Machado, RenatoPettersson, Mats I.Vu, Viet Thuy

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Citation style
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  • de-DE
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  • Other locale
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Output format
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