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可见光遥感图像中舰船目标检测的多阶阈值分割方法
引用本文:王保云,张荣,袁圆,尹东.可见光遥感图像中舰船目标检测的多阶阈值分割方法[J].中国科学技术大学学报,2011,41(4).
作者姓名:王保云  张荣  袁圆  尹东
作者单位:中国科学技术大学电子工程与信息科学系,安徽合肥,230027
基金项目:国家重点基础研究发展(973)计划
摘    要:针对遥感图像中海洋复杂背景下的海上舰船目标检测,提出了基于自适应多阶阈值分割舰船目标检测方法.使用该方法对Spot,Quickbird,Ikonos,Landsat等不同卫星数据来源、不同分辨率、不同内容的12 704个样本进行了试验,成功检测了1 104个目标中的1 098个,检测率达到99.5%,同时虚警率保持在较低水平.实验证明,该方法对遥感图像中的海上舰船目标检测适应性强、检测率高、稳定性好.

关 键 词:多阶阈值  分割  复杂海面  舰船识别  遥感图像

A new multi-level threshold segmentation method for ship targets detection in optical remote sensing images
WANG Baoyun,ZHANG Rong,YUAN Yuan,YIN Dong.A new multi-level threshold segmentation method for ship targets detection in optical remote sensing images[J].Journal of University of Science and Technology of China,2011,41(4).
Authors:WANG Baoyun  ZHANG Rong  YUAN Yuan  YIN Dong
Institution:WANG Baoyun,ZHANG Rong,YUAN Yuan,YIN Dong(Department of Electronic Engineering and Information Science,University of Science and Technology of China,Hefei 230027,China)
Abstract:A new multi-level threshold segmentation method was presented for ship detection.The method was designed to detect ship targets in remote sensing images,especially for complex sea surfaces.An experiment on over 12 704 samples,from Spot,Quickbird,Ikonos,Landsat,shows that ship target detection probability can be as high as 99.5% while the false alarm rate is low.Experiments testify the method's robustness for various remote sensing data.
Keywords:multi-level threshold  segmentation  complex sea surface  ship detection  remote sensing image  
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