Ship detection and classification from optical remote sensing images: A survey

作     者：Bo LI Xiaoyang XIE Xingxing WEI Wenting TANG Bo LI;Xiaoyang XIE;Xingxing WEI;Wenting TANG

作者机构：School of Computer Science and EngineeringBeihang UniversityBeijing 100083China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2021年第34卷第3期

页      面：145-163页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 081105[工学-导航、制导与控制] 081002[工学-信号与信息处理] 0811[工学-控制科学与工程] 

主　　题：Optical remote sensing Satellite image Sea target detection Ship classification Ship detection 

摘      要：Considering the important applications in the military and the civilian domain, ship detection and classification based on optical remote sensing images raise considerable attention in the sea surface remote sensing filed. This article collects the methods of ship detection and classification for practically testing in optical remote sensing images, and provides their corresponding feature extraction strategies and statistical data. Basic feature extraction strategies and algorithms are analyzed associated with their performance and application in ship detection and ***, publicly available datasets that can be applied as the benchmarks to verify the effectiveness and the objectiveness of ship detection and classification methods are summarized in this paper. Based on the analysis, the remaining problems and future development trends are provided for ship detection and classification methods based on optical remote sensing images.