计算机工程与应用2017，Vol.53Issue(18)：157-162,6.DOI:10.3778/j.issn.1002-8331.1604-0045
改进的ROEWA算子用于SAR图像的海陆分离
Improved ROEWA operator for sea-land segmentationin SAR image
张雷 1胡宇1
作者信息
- 1. 沈阳航空航天大学 电子信息工程学院,沈阳 110136
- 折叠
摘要
Abstract
Although the weighted average ratio(ROEWA)edge detection operator is suitable for SAR images, this opera-tor can not decide the edge direction according to gradient. Since SAR image is affected by multiplicative noise, it is taken the logarithm to change multiplicative noise to additive noise, then Canny operator can be used to calculate the direction of edges. Since land image has a lot of edges and ocean space is flat, land and ocean is different in gray scale, sea and land can be segmented, region growing is also used. Results show that the improved ROEWA operator is efficiency and preci-sion in sea-land segmentation, the robustness is also good.关键词
SAR图像/ROEWA算子/Canny算子/边缘检测/海陆分离Key words
SAR image/ROEWA operator/Canny operator/edge detection/sea-land segmentation分类
信息技术与安全科学引用本文复制引用
张雷,胡宇..改进的ROEWA算子用于SAR图像的海陆分离[J].计算机工程与应用,2017,53(18):157-162,6.
