摘要
道路作为一种重要地物信息,在城市规划等领域中起着不可替代作用。合成孔径雷达(SAR)具有全天候等成像特点,因此基于SAR图像已有许多道路边缘检测算法。提出一种多窗口道路边缘检测算法,来解决相干斑噪声引起的道路边缘误检率高完整性差等问题。该算法首先以加权局部熵的大小为基础,评估SAR图像中像素点落在道路上的概率,然后以该概率为依据,确定每个像素点多窗口融合的权值。最后,对不同大小窗口的边缘检测结果进行加权融合。通过对不同区域的SAR图像切片进行实验,结果表明加权融合后得到的道路边缘的完整性及对噪声的抑制效果均有所提高。
As an important ground object information,road plays an irreplaceable role in urban planning and so on.Because Synthetic Aperture Radar(SAR)has characteristic of all weather,a large number of road edge algorithms which based on SAR image emerge spontaneously.A multi-window road edge detection algorithm is proposed to solve the problems such as high false detection rate and poor integrity of road edges causing by speckle noise.Based on the weighted local entropy,this paper evaluates the probability of SAR images of pixel points which falling on the road and determines the weight of each pixel in multi-window fusion.Finally,experiments on SAR chip images in variant regions are carried out,and the results show that the integrity of the road edges and the suppression effect of noise are improved after weighted fusion.
作者
沈夏炯
张汇东
韩道军
SHEN Xiajiong;ZHANG Huidong;HAN Daojun(School of Computer and Information Engineering,Henan University,Kaifeng,Henan 475004,China;Institute of Data and Knowledge Engineering,Henan University,Kaifeng,Henan 475004,China)
出处
《计算机工程与应用》
CSCD
北大核心
2018年第19期164-171,共8页
Computer Engineering and Applications
基金
国家自然科学基金(No.61272545)
河南省教育厅自然科学基金(No.14A520026)
河南省博士后科研项目(No.2015036)
关键词
SAR图像
边缘检测
道路提取
加权局部熵
多窗口融合
SAR image
edge detection
road detection
weighted local entropy
multi-windows fusion method
