SHIP DETECTION IN SAR MEDIUM RESOLUTION IMAGERY FOR MARITIME SURVEILLANCE: ALGORITHM VALIDATION USING AIS DATA

被引：6
|
作者：
Ramona, Pelich [1 ]
Nicolas, Longepe [1 ]
Mercier, Gregoire
Guillaume, Hajduch [1 ]
Garello, Rene
机构：
[1] CLS, F-29280 Plouzane, France
来源：
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年
关键词：
Automatic Identification System (AIS); dataset characteristics; operational services; ship detection; Synthetic Aperture Radar (SAR);
D O I：
10.1109/IGARSS.2014.6947284
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper paper we address performances of ship detection algorithms in medium resolution SAR imagery. An automatic validation approach based on coastal AIS data allows to evaluate detectors efficiency. Detection capabilities remain sensitive to dataset features such as SAR imaging characteristics, meteorological conditions or vessel size. The influence of this different key parameters is fully assessed in this study. This analysis is valuable for operational services, allowing to select the most appropriate type of data for different applications in maritime surveillance.
引用
收藏
页码：3690 / 3693
页数：4
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