基于小波边缘提取和脊线跟踪技术的SAR图像河流检测算法

胡正磊; 孙进平; 袁运能; 毛士艺

doi:10.3724/SP.J.1146.2005.00992

基于小波边缘提取和脊线跟踪技术的SAR图像河流检测算法

doi: 10.3724/SP.J.1146.2005.00992

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出版历程
- 收稿日期: 2005-08-12
- 修回日期: 2005-12-20
- 刊出日期: 2007-03-19

River Detection in SAR Images Based on Edge Extraction in Wavelet Domain and Ridge Tracing Technique

摘要

摘要: 该文提出了一种在SAR图像中有效地得到连通河流的检测方法。算法基于二进小波变换的边缘提取和脊线跟踪技术。该文应用小波变换多尺度特性进行边缘检测，采用小波域系数直接相关的方法提取边缘。该方法比WTMM获取边缘点的算法更加简单高效。在解决连接不连续边缘点和水域连通问题时，该文采用了指纹提取中的基于灰度级图像的脊线跟踪技术，从而避免了已广泛应用于海岸线连接中的Snake模型的一些缺点。结果证明该文算法更高效，对复杂的河流边缘适应性更强，算法得到的河流检测结果连通性更好，定位准确。
- SAR图像;河流检测;边缘提取;脊线跟踪;连通
Abstract: This paper deals with automatic river detection in SAR images. A new method is proposed using the boundary extraction in wavelet domain and merging the water region by ridge tracing. In the method, edge detection is approached by direct spatial correlation of wavelet transform at several adjacent scales. It is much easier than the algorithm of WTMM proposed by Mallat and proved to be more efficient. And the ridge tracking based on gray scale image , which is applied in fingerprint tracing, is introduced here to complete the river bank linking and river connecting. This improvement avoids the disadvantages of the Snake model widely used in linking the coastline. The river detection result from the method is good at connection and location. And the method is much more efficient and adaptive to the complicated bank.

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