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光学遥感图像舰船目标检测与识别综述

王彦情 马雷 田原

自动化学报2011,Vol.37Issue(9):1029-1039,11.
自动化学报2011,Vol.37Issue(9):1029-1039,11.DOI:10.3724/SP.J.1004.2011.01029

光学遥感图像舰船目标检测与识别综述

State-of-the-art of Ship Detection and Recognition in Optical Remotely Sensed Imagery

王彦情 1马雷 1田原1

作者信息

  • 1. 中国科学院自动化研究所综合信息系统研究中心 北京 100190
  • 折叠

摘要

Abstract

Ship detection and recognition is one of the most active research topics in the field of remote sensing. This strong interest is driven by a wide spectrum of promising applications in many areas such as ocean traffic surveillance, ship rescuing, fisheries management, maritime situational awareness (MSA), etc. The aim of ship detection and recognition is to extract, identify and locate ship targets in remotely sensed images. This paper provides a comprehensive survey of recent developments on ship detection and recognition in optical remotely sensed imagery. The influencing factors are analyzed, and the state of the art methods are reviewed. Furthermore, the remaining problems and future development trends are provided for detecting and recognizing ship targets in optical remotely sensed images.

关键词

光学遥感图像/舰船日标检测/自动目标识别/图像理解

Key words

Optical remotely sensed imagery/ ship detection/ automatic target recognition/ image understanding

引用本文复制引用

王彦情,马雷,田原..光学遥感图像舰船目标检测与识别综述[J].自动化学报,2011,37(9):1029-1039,11.

基金项目

国家自然科学基金(61101222,60873161,61005067)资助 (61101222,60873161,61005067)

自动化学报

OA北大核心CSCDCSTPCD

0254-4156

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