Edge detection of street trees in high-resolution remote sensing images using spectrum features

Haohao Zhao; Pengfeng Xiao; Xuezhi Feng

doi:10.1117/12.2031224

26 October 2013 Edge detection of street trees in high-resolution remote sensing images using spectrum features

Haohao Zhao, Pengfeng Xiao, Xuezhi Feng

Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 89180M (2013) https://doi.org/10.1117/12.2031224
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

In this paper a method of Fourier spectrum features based edge detection of urban street trees is described. The QuickBird image was first transformed by 2-D discrete Fourier transform. Then the energy of the component in spatial frequency was calculated. The energy distribution of the angle in max energy was used for further study. Different frequency segments was analyzed, the frequency that can best describe the street tree edge was chosen as the cut-off frequency of the street trees edge. Odd Gabor filter in frequency domain with the cut-off frequency and the max-energy angle was applied for the edge detection. The road center line is extracted by a Gabor filter in frequency domain. Then the edge of the street trees is restricted by the road center line. The edge detection result is analyzed by Canny criteria, and the ΣV=1.00, and C=0.89.

Citation Download Citation

Haohao Zhao, Pengfeng Xiao, and Xuezhi Feng "Edge detection of street trees in high-resolution remote sensing images using spectrum features", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180M (26 October 2013); https://doi.org/10.1117/12.2031224

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