Automatic Ship Detection Using PolSAR Imagery and the Double Scatterer Model

Author:

Karachristos Konstantinos1,Anastassopoulos Vassilis1ORCID

Affiliation:

1. Electronics Laboratory, (ELLAB), Physics Department, University of Patras, 26504 Rio, Greece

Abstract

In ship detection by means of Polarimetric SAR imagery, a very promising feature is the characterization of the pixels of the ship based on the elementary scattering mechanisms that can be extracted using different decomposition algorithms. Elementary scattering mechanisms provide information regarding the physical, electrical and geometrical properties of the scatterers in each Polarimetric SAR pixel. In this work, the newly established algorithm of the Double Scatterer Model is applied to interpret each pixel of the Polarimetric SAR image with the contributions of two elementary scattering mechanisms, namely, primary and secondary. The main idea is to construct a binary image while preserving the rich information content in order to proceed in simple and fast image processing for target detection. The present algorithm is applied to datasets with different inherent characteristics acquired by Radarsat-2 and ALOS-PALSAR. The results presented by this new perspective on ship monitoring are remarkable.

Publisher

MDPI AG

Subject

Industrial and Manufacturing Engineering,Materials Science (miscellaneous),Business and International Management

Reference24 articles.

1. Jackson, C.R., and Apel, J.R. (2004). Synthetic Aperture Radar. Marine User’s Manual, National Oceanic and Atmospheric Administration.

2. Ruliang, Y., Bowei, D., Lulu, T., Xiuqing, L., Zhen, Y., and Haiying, L. (2021). Polarimetric Microwave Imaging, Springer Link.

3. Manifold Adaptation for Constant False Alarm Rate Ship Detection in South African Oceans;Schwegmann;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2015

4. Optimal CFAR detection in Weibull clutter;Anastassopoulos;IEEE Trans. Aerosp. Electron. Syst.,1995

5. Using SAR Images to Detect Ships From Sea Clutter;Liao;IEEE Geosci. Remote Sens. Lett.,2008

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