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基于旋转候选区域的船舶检测
引用本文:汪从敏,程国开,于洪亮,王群,赵建豪.基于旋转候选区域的船舶检测[J].信息技术,2021(2):73-78.
作者姓名:汪从敏  程国开  于洪亮  王群  赵建豪
作者单位:国网浙江省电力有限公司宁波供电公司;北京国网富达科技发展有限责任公司
基金项目:浙江省电力有限公司科技项目(5211NB1800LG)。
摘    要:利用图像进行船舶检测可以为海上侦察监视提供重要信息.以往的检测方法对水平或近水平的目标都有很强的检测能力,但对于任意方向的船舶检测,都不能给出满意的检测结果.在此提出了一种新型的船舶检测算法,可以检测任意方向的船舶.在该方法中,提出了一种利用旋转候选区域来生成具有船舶方位角信息的多方向候选信息,并且还对边框的方位角进行...

关 键 词:卷积神经网络  候选区域  船舶检测  FasterR-CNN

Ship detection based on rotating region proposal
WANG Cong-min,CHENG Guo-kai,YU Hong-liang,WANG Qun,ZHAO Jian-hao.Ship detection based on rotating region proposal[J].Information Technology,2021(2):73-78.
Authors:WANG Cong-min  CHENG Guo-kai  YU Hong-liang  WANG Qun  ZHAO Jian-hao
Affiliation:(State Grid Zhejiang Electric Power Co.,Ltd.,Ningbo Power Supply Company,Ningbo 315000,Zhejiang Province,China;Beijing State Grid Fuda Technology Development Co.,Ltd.,Beijing 100070,China)
Abstract:Using images for ship detection can provide important information for maritime reconnaissance and surveillance.The previous detection methods have strong detection capabilities for horizontal or near-level targets,but they cannot provide satisfactory detection results for ships in any direction.Therefore,a new type of ship detection algorithm is proposed here,which can detect ships in any direction.In this method,a rotation region proposal is used to generate multi-directional proposal information with ship azimuth information.And the azimuth of the frame is regressed to make the generation of the inclined ship-shaped area more accurate,and finally extract the identification features.The experimental results show that the proposed method is better than the existing methods when dealing with ship detection tasks in any direction.
Keywords:convolutional neural network  region proposal  ship detection  Faster R-CNN
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