NDLI: SEA clutter modeling by statistical majority consistency for ship detection in SAR imagery

Content Provider	IEEE Xplore Digital Library
Author	Di Zhao Haitao Lang Xi Zhang Junmin Meng Laiquan
Copyright Year	2015
Description	Author affiliation: First Inst. of Oceanogr., State Oceanic Adm., Qingdao, China (Xi Zhang) \|\| Dept. of Appl. Phys., Beijing Univ. of Chem. Technol., Beijing, China (Di Zhao; Haitao Lang; Junmin Meng) \|\| Inner Mongolia Key Lab. of Remote Sensing & Geogr. Inf. Syst., Inner Mongolia Normal Univ., Hohhot, China (Laiquan)
Abstract	Probability density function (pdf) estimation of sea clutter in synthetic aperture radar (SAR) imagery has a fundamental role in constructing a constant false alarm rate (CFAR) based ship detector. This paper proposes a semi-parametric sea clutter modeling method for SAR amplitude imagery. The pdf of sea clutter is estimated point by point for each amplitude value, by selecting an optimal component from a given dictionary. For a specific point, the optimal component is selected by measuring the statistical consistency between pdfs of different components and the pdf of sample data within a local window in pdf domain. The statistical consistency is measured by Kullback-Leibler distance (KL-distance). The size of local window is determined based on smoothness criterion. Experimental results on several real SAR imageries demonstrate that the proposed method accurately models the sea clutter, and is flexible to combine with CFAR to construct a ship detector.
Starting Page	3695
Ending Page	3698
File Size	1407201
Page Count	4
File Format	PDF
e-ISBN	9781479979295
DOI	10.1109/IGARSS.2015.7326625
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Marine vehicles Clutter Synthetic aperture radar Estimation Data models Probability density function Detectors synthetic aperture radar (SAR) imagery Ship detection sea clutter modeling probability density function (pdf) estimation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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