SAR图像船行尾迹检测的Radon变换和形态学图像处理技术

王世庆; 金亚秋

doi:10.11834/jrs.20010408

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SAR图像船行尾迹检测的Radon变换和形态学图像处理技术
Ship Wake Detection in SAR Images Based on Radon Transformation and Morphologic Image Processing
2001年第4期页码：289-294
纸质出版：2001
DOI： 10.11834/jrs.20010408
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[1]王世庆,金亚秋.SAR图像船行尾迹检测的Radon变换和形态学图像处理技术[J].遥感学报,2001(04):289-294. DOI： 10.11834/jrs.20010408.

WANG Shi qing\ JIN Ya qiu. Ship Wake Detection in SAR Images Based on Radon Transformation and Morphologic Image Processing[J]. Journal of Remote Sensing, 2001, (4): 289-294. DOI： 10.11834/jrs.20010408.

摘要

该文提出了一种由Radon变换与形态学图像处理技术检测船行尾迹的算法SWDRM （ShipWakeDetec tionAlgorithmbasedonRadontransformationandMorphologicimageprocessingtechnology）。算法特点是 :在Radon空间进行处理后

得到逆变换图像。通过图像后处理

可得到二值图像

以用于尾迹自动检测。对海洋卫星合成孔径雷达（SEASATSAR）图像及模拟乘性斑点噪声中舰船尾迹进行了检测。结果表明

SWDRM具有很好的鲁棒性

能够适应不同水平的噪声环境。同时

对阈值系数和工作窗口宽度的选择范围都比较大

在一定的噪声水平范围

给定阈值系数后

得到近似于恒虚警率的检测结果

结合图像后处理

可得到二值图像用于自动尾迹检测

Abstract

An algorithm for ship wake detection

based on Radon transformation and mathematical morphologic image processing （called as SWDRM） is developed. The important information from observation are kept in the inverted gray level image after being manipulated in Radon space. Ship detection can be achieved from a binary image. It is applied to automatic detection for ship moving from the SEASAT SAR images. The effect due to high level multiplied speckle noise is also discussed. The results show that this algorithm is well robust in noise presence

and is not very sensitive to the threshold parameters and the width of working window.

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