In view of the low resolution in direction of wavelet transform,the rich geometric structure of high spatial resolution remote sensing imagery (HSR) and the existence of edge in various directions which causes shortcomings in edge extraction of wavelet transform on objects with complex geometric structure, the authors proposed a HRS image edge extraction method of multi-direction wavelet transform based on Directionlet theory and modulus maximum method. The method first decomposes original image based lattice to obtain one-dimensional line set, then carries out wavelet transform and obtains the high frequency directional sub-band by restore image format. The edge result is obtained by using improved module maximum and the dual threshold method. Finally, the mathematical morphology is used to refine and connect edge results. Experiment result shows that the proposed method can get more complete edge compared with traditional method and standard two-dimensional wavelet transform.
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