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Proceedings Paper

Civilian ship classification based on structure features in high resolution SAR images
Author(s): Shaofeng Jiang; Chao Wang; Hong Zhang; Fan Wu; Bo Zhang
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Paper Abstract

With the globalization there is an increasing degree of concern on the ship traffic monitoring. Civilian ship classification is an important research area, as it can help to improve sea traffic surveillance and control activities. By making use of the new generation SAR satellites like COSMO-SkyMed, civilian ship classification in high resolution SAR images is a hotspot and preceding problem in SAR applications. This paper presents a ship classification method that uses single-pol COSMO-SkyMed images to categorize civilian ships into three types, including bulk carriers, container ships and oil tankers. The experimental results based on ship structure features show that the whole classification accuracy is above 80%.

Paper Details

Date Published: 11 December 2012
PDF: 7 pages
Proc. SPIE 8525, Remote Sensing of the Marine Environment II, 852505 (11 December 2012); doi: 10.1117/12.979643
Show Author Affiliations
Shaofeng Jiang, Univ. of the Chinese Academy of Sciences (China)
Ctr. for Earth Observation and Digital Earth (China)
Chao Wang, Ctr. for Earth Observation and Digital Earth (China)
Hong Zhang, Ctr. for Earth Observation and Digital Earth (China)
Fan Wu, Ctr. for Earth Observation and Digital Earth (China)
Bo Zhang, Ctr. for Earth Observation and Digital Earth (China)


Published in SPIE Proceedings Vol. 8525:
Remote Sensing of the Marine Environment II
Robert J. Frouin; Naoto Ebuchi; Delu Pan; Toshiro Saino, Editor(s)

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