volume | PIER Journals

2020-06-17

A Novel Method for Ship Detection in SAR Images Based on Information Geometric Optimization

Chenchen Yi,

Dr. Chenchen Yi

College of Communication Engineering

Hangzhou Dianzi University

China

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Meng Yang

Prof. Meng Yang

School of Communication Engineering

Hangzhou Dianzi University

China

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Progress In Electromagnetics Research Letters, Vol. 92, 55-60, 2020

doi:10.2528/PIERL20021203

Abstract

The aim of this letter is to provide a novel method connecting statistical optimization and information geometry for ship detection in synthetic aperture radar (SAR) imagery. The method consists of two steps: initial detection and iterative optimization. For the first stage, the Weibull clutter model is used for initial detection. For the second step, the metric tensor of the Weibull distribution manifold is constructed for iterative optimization. Experiments show that the proposed method is effective in reducing false alarms and obtains a satisfactory detection performance.

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Chenchen Yi, and Meng Yang, "A Novel Method for Ship Detection in SAR Images Based on Information Geometric Optimization," Progress In Electromagnetics Research Letters, Vol. 92, 55-60, 2020.
doi:10.2528/PIERL20021203

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