11 December 2012 Civilian ship classification based on structure features in high resolution SAR images
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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%.
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Shaofeng Jiang, Chao Wang, Hong Zhang, Fan Wu, Bo Zhang, "Civilian ship classification based on structure features in high resolution SAR images", Proc. SPIE 8525, Remote Sensing of the Marine Environment II, 852505 (11 December 2012); doi: 10.1117/12.979643; https://doi.org/10.1117/12.979643
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