光学遥感图像舰船目标检测与识别方法研究进展

Progress of ship detection and recognition methods in optical remote sensing images

不论是在军事侦查领域还是海洋执法方面,舰船目标检测与识别技术都至关重要,尤其是随着光学遥感卫星技术的发展,获取了大量的舰船成像数据,怎样迅速从大批量的光学成像资料中精确定位和鉴别出舰船目标是富有挑战性的工作。首先,概述了光学遥感图像舰船目标检测与识别技术的发展历程和技术流程;然后,依次阐述了光学遥感图像的获取与预处理、海陆分离、舰船目标检测和舰船目标识别等方面的研究进展,重点论述了采用传统和深度学习2类方法开展光学遥感图像目标检测与识别的研究进展;接着,介绍了11种包含舰船目标的遥感图像数据集以及性能评价指标;最后,分析了舰船目标检测与识别技术面临的主要问题,并展望了舰船检测与识别技术今后的发展方向。

No matter in the field of military investigation or maritime law enforcement,the ship target detection and identification technology is very important.Especially with the development of optical remote sensing satellite,a large number of ship imaging data have been obtained,and how to quickly and accurately locate and identify ship targets from a large number of optical imaging data is a challenging work.Firstly,this paper summarizes the development process and technical process of ship target detection and recognition technology in optical remote sensing images.Then,the research progress in the acquisition and preprocessing of optical remote sensing images,the separation of land and sea,the detection of ship targets and the recognition of ship targets are reviewed,and the methods and progress of target detection and recognition of optical remote sensing images using traditional and deep learning methods are emphatically discussed.Then,11 kinds of remote sensing image data sets including ship targets and performance evaluation indexes are introduced.Finally,the main problems in ship target detection and recognition technology are analyzed,and the future development direction of ship target detection and recognition technology is given.