An edge detection algorithm of SAR images based on dual-tree complex wavelet transform

doi:10.7523/jssn.2095-6134.2014.02.014

Abstract

Abstract:

We propose an edge detection algorithm of SAR images based on dual-tree complex wavelet transform. We use the oriented gradient of histogram method to calculate the gradient matrix on all complex wavelet subbands, and acquire the global matrix based on the directional selectivity and multi-scale property of dual-tree complex wavelet transform. The edges are extracted by thresholding the matrix. The proposed algorithm effectively detects significant edges, and it is robust to the speckle noise, intensity inhomogeneity, and blurred boundaries of SAR images. The experimental results show effectiveness of the proposed algorithm.

Key words: SAR image, edge detection, dual-tree complex wavelet transform, multi-scale, directional selectivity, oriented gradient of histogram

CLC Number:

TN957

MAO Chenglin, WAN Shouhong, YUE Lihua, XIA Yu. An edge detection algorithm of SAR images based on dual-tree complex wavelet transform[J]. Journal of University of Chinese Academy of Sciences, 2014, 31(2): 238-242.

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