Vol. 99

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2021-08-21

Topological Optimization Method for Ship Detection in SAR Images

By Dianqi Pei and Meng Yang
Progress In Electromagnetics Research Letters, Vol. 99, 153-157, 2021
doi:10.2528/PIERL21042903

Abstract

The aim of this study is to provide a topological optimization method for ship detection in synthetic aperture radar (SAR) imagery. The method consists of three steps: pre-processing, sparse representation and classification. For the first step, the variational model is used for SAR image filtering. For the second step, the curvature of the surface manifold is constructed for sparse representation of target. For the third step, the topological derivative method is adopted to locate the target. Experiments show that the proposed method is effective in reducing false alarms, and obtains a satisfactory detection performance.

Citation


Dianqi Pei and Meng Yang, "Topological Optimization Method for Ship Detection in SAR Images," Progress In Electromagnetics Research Letters, Vol. 99, 153-157, 2021.
doi:10.2528/PIERL21042903
http://www.jpier.org/PIERL/pier.php?paper=21042903

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