On a New Ship Detection Parameter Using Multi-polarization SAR Data

Title
On a New Ship Detection Parameter Using Multi-polarization SAR Data
Author(s)
양찬수; Kazuo
KIOST Author(s)
Yang, Chan Su(양찬수)
Alternative Author(s)
양찬수; Kazuo
Publication Year
2014-08-28
Abstract
In the present article, a new parameter is proposed to improve the accuracy of shipdetection based on polarimetric analyses of synthetic aperture radar (SAR) data. The parameteris similar to the normalized di®erence vegetation index (NDVI) for multispectral optical data,and it is de¯ ned as the di®erence of values in polarimetric entropy from coherence divided bythe sum of these two values. It has been known that the polarimetric entropy is high for targetsthat give rise to random scattering consists of di®erent scattering processes such as ships whileit is low for targets yielding single scattering, for example, surface scattering from sea surface.It is also known that the coherence, i.e., correlation between HH- and V V -polarization imagesof targets with volume or multiple scattering is low in comparison with targets to give rise tosurface scattering.DVI) for multispectral optical data,and it is de¯ ned as the di®erence of values in polarimetric entropy from coherence divided bythe sum of these two values. It has been known that the polarimetric entropy is high for targetsthat give rise to random scattering consists of di®erent scattering processes such as ships whileit is low for targets yielding single scattering, for example, surface scattering from sea surface.It is also known that the coherence, i.e., correlation between HH- and V V -polarization imagesof targets with volume or multiple scattering is low in comparison with targets to give rise tosurface scattering.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/26046
Bibliographic Citation
PIERS 2014, pp.1, 2014
Publisher
PIERS
Type
Conference
Language
English
Publisher
PIERS
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