Complex urban boundary extraction based on topological interpolation and spectral feature

doi:10.11947/j.AGCS.2019.20180126

Abstract

Abstract: Complex urban boundary usually has buildings with greatly different size, rugged forest area and scattered small buildings, which makes many urban extraction algorithms ineffective. In order to solve this problem, a method based on topological interpolation theory and spectral featureis proposed, and it can be applied to complex urban boundary extraction from high resolution imagery. On the one hand, feature corners of big buildings are inserted to avoid the urban boundary lose caused by the sparse feature points. On the other hand, spectral feature is made full use of to remove the redundancy feature points brought by rugged forest area and scattered small buildings, which can reduce the wrong boundary extraction. The experiments and compared analysis show that the new method has a good robustness and high accuracy.

Key words: topological interpolation, spectral feature, corner, high resolution, complex urban boundary

CLC Number:

P237

YU Linan, NING Xiaogang, WANG Hao, LIU Jiping. Complex urban boundary extraction based on topological interpolation and spectral feature[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(8): 1004-1013.

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