自动识别系统
遥感
鉴定(生物学)
基本事实
地理
签名(拓扑)
雷达成像
计算机科学
雷达
数据挖掘
人工智能
电信
数学
植物
几何学
生物
作者
P.W. Vachon,Ryan A. English,John Wolfe
摘要
Automatic identification system (AIS) data have the potential to contribute significantly to the development of automated algorithms for ship signature identification in remotely sensed imagery. Datasets composed of RADARSAT-1 imagery collected over a 3-month period and the corresponding AIS data from AISLive were compiled. SAR-derived ship length and radar cross section features were validated against AIS data, thus demonstrating the utility of AIS as a source of ground truth.
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