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The stability of UWB low-frequency SAR images
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.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-6643-312X
Saab Electronic Defense Systems, SWE.
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2016 (English)In: IEEE Geoscience and Remote Sensing Letters, ISSN 1545-598X, E-ISSN 1558-0571, Vol. 13, no 8, 1114-1118 p.Article in journal, Letter (Refereed) Published
Abstract [en]

This letter presents an analysis of prefiltered clutter ultrawideband (UWB) very high frequency synthetic aperture radar (SAR) images. The image data are reorganized into subvectors 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 for low-frequency SAR images. In this letter, it is found that, for “good” image pairs, the subtracted image has Gaussian distributed clutter backscattering and that the noise mainly consists of the thermal noise and, therefore, speckle noise does not have to be considered. This is a consequence of the stable backscattering for a UWB low-frequency SAR system.

Place, publisher, year, edition, pages
IEEE, 2016. Vol. 13, no 8, 1114-1118 p.
Keyword [en]
Synthetic aperture radar, Histograms, Clutter, Statistical analysis, Manganese, Stability analysis, Speckle
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-13844DOI: 10.1109/LGRS.2016.2569582OAI: oai:DiVA.org:bth-13844DiVA: diva2:1069680
Available from: 2017-01-30 Created: 2017-01-30 Last updated: 2017-01-30Bibliographically approved

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Renato, MachadoVu, Viet ThuyPettersson, Mats
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