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

Hu Zheng-lei; Sun Jin-ping; Yuan Yun-neng; Mao Shi-yi

doi:10.3724/SP.J.1146.2005.00992

Volume 29 Issue 3

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Hu Zheng-lei, Sun Jin-ping, Yuan Yun-neng, Mao Shi-yi. River Detection in SAR Images Based on Edge Extraction in Wavelet Domain and Ridge Tracing Technique[J]. Journal of Electronics & Information Technology, 2007, 29(3): 524-527. doi: 10.3724/SP.J.1146.2005.00992

Citation:

Hu Zheng-lei, Sun Jin-ping, Yuan Yun-neng, Mao Shi-yi. River Detection in SAR Images Based on Edge Extraction in Wavelet Domain and Ridge Tracing Technique[J]. Journal of Electronics & Information Technology, 2007, 29(3): 524-527. doi: 10.3724/SP.J.1146.2005.00992

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

doi: 10.3724/SP.J.1146.2005.00992

Received Date: 2005-08-12
Rev Recd Date: 2005-12-20
Publish Date: 2007-03-19

Abstract

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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References(1)

References

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