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SAR图像上舰船目标检测的一种新算法
引用本文:陈珊,王军锋. SAR图像上舰船目标检测的一种新算法[J]. 信息技术, 2008, 32(4): 118-120
作者姓名:陈珊  王军锋
作者单位:上海交通大学电子信息与电气工程学院,上海,200240
摘    要:提出了一种改进的KSW算法检测SAR图像上的舰船目标.在该算法中,检测门限被选择以最大化背景与目标灰度熵加权和.由于加权系数的引入,该算法能针对SAR图像上舰船目标检测的实际情况,调整背景与目标灰度熵在准则函数中所占比例.当海杂波较弱时,该算法与传统的KSW算法等价.当海杂波较强时,其较传统的KSW算法有更好的表现.

关 键 词:SAR图像  舰船检测  KSW算法  图像  舰船目标检测  算法  images  detection  ship  表现  海杂波  比例  准则函数  调整  情况  加权系数  灰度熵  背景  大化  选择  检测门限  改进
文章编号:1009-2552(2008)04-0118-03
修稿时间:2007-09-13

A new algorithm for ship detection in SAR images
CHEN Shan,WANG Jun-feng. A new algorithm for ship detection in SAR images[J]. Information Technology, 2008, 32(4): 118-120
Authors:CHEN Shan  WANG Jun-feng
Affiliation:CHEN Shan,WANG Jun-feng(School of Electronic Information , Electrical Engineering,Shanghai Jiaotong University,Shanghai 200240,China)
Abstract:This paper presents an improved KSW algorithm to detect ships in SAR image.In this algorithm,the detection threshold is chosen to maximize a criterion function,which is defined as the weighted sum of the gray-level entropies of the background and the target.The gray-level entropy of the background and the gray-level entropy of the target can have different weights in the criterion function.When the sea clutter is weak,this algorithm is equivalent to the original KSW algorithm.When the sea clutter is strong,...
Keywords:SAR images  ship detection  KSW algorithm  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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