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Ship features and classification in hi-resolution SAR images with object backscattering part and surf array

机译:具有目标后向散射部分和冲浪阵列的高分辨率SAR图像中的船舶特征和分类

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Vast marine area possesses over 3/4 of the global surface, where human activities occur more and more. Over 90% of imported crude oil in China is transported by oil tankers, which comprise the main part of vessel fleets in the China seas. Fishery is another human activity in the oceans, which is related to resource management and EEZ protection. Both maritime traffic and fishery law enforcement need an efficient monitoring technology over vast ocean surface, while vessel detection and recognition are the primary requirement in the maritime monitoring. Synthetic Aperture Radar (SAR) has shown its capability to detect vessels in the ocean since the launch of SAR satellites (C. Liu and P.W. Vachon, 2004). With the hi-resolution SAR satellites launched during the last 3 years, it becomes possible to reveal more ship features in the SAR images and classify various ships (H. Greidanus and N. Kourti, 2006, G. Margarit, et al., 2006).
机译:广阔的海洋区域占全球地表的3/4以上,人类活动在此进行的越来越多。中国90%以上的进口原油都是由油轮运输的,这些油轮构成了中国海域船队的主要部分。渔业是海洋中的另一种人类活动,与资源管理和专属经济区保护有关。海上交通和渔业执法都需要一种在广阔海洋表面上的有效监视技术,而船只检测和识别是海上监视的主要要求。自SAR卫星发射以来,合成孔径雷达(SAR)已显示出探测海洋中船只的能力(C. Liu和P.W. Vachon,2004年)。通过近三年来发射的高分辨率SAR卫星,有可能在SAR图像中揭示更多船舶特征并对各种船舶进行分类(H. Greidanus和N. Kourti,2006; G。Margarit等,2006)。 )。

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