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A High Resolution Optical Satellite Image Dataset for Ship Recognition and Some New Baselines
Liu,Zikun1,2; Yuan,Liu3; Weng,Lubin1; Yang Yiping1
2017-03
会议名称6th International Conference on Pattern Recognition Applications and Methods
会议日期February 24-26, 2017
会议地点Porto - Portugal
摘要

Ship recognition in high-resolution optical satellite images is an important task. However, it is difficult to recognize ships under complex backgrounds, which is the main bottleneck for ship recognition and needs to be further explored and researched. As far as we know, there is no public remote sensing ship dataset and few open source work. To facilitate future ship recognition related research, in this paper, we present a public high-resolution ship dataset, “HRSC2016”, that covers not only bounding-box labeling way, but also rotated bounding box way with three-level classes including ship, ship category and ship types. We also provide the ship head position for all the ships with “V” shape heads and the segmentation mask for every image in “Test set”. Besides, we volunteer a ship annotation tool and some development tools. Given these rich annotations we perform a detailed analysis of some state-of-the-art methods, introduce a novel metric, the separation fitness (SF), that is used for evaluating the performance of the sea-land segmentation task and we also build some new baselines for recognition. The latest dataset can be downloaded from “http://www.escience.cn/people/liuzikun/DataSet.html”.

关键词High Resolution Optical Remote Sensing Image Sea-land Segmentation Ship Detection Ship Recognition Dataset
DOI10.5220/0006120603240331
语种英语
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被引频次:305[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/14545
专题综合信息系统研究中心
通讯作者Weng,Lubin
作者单位1.Institute of Automation Chinese Academy of Sciences, 95 Zhongguancun East Road, 100190, Beijing, China
2.University of Chinese Academy of Sciences, 80 Zhongguancun East Road, 100190, Beijing, China
3.China Academy of Electronics and Information Technology, 11 Shuanyuan Road, 100041, Beijing, China
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
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Liu,Zikun,Yuan,Liu,Weng,Lubin,et al. A High Resolution Optical Satellite Image Dataset for Ship Recognition and Some New Baselines[C],2017.
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