Extraction of building contour from high resolution images

doi:10.6046/gtzyyg.2015.03.10

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Abstract Since the building profile obtained by segmentation or other methods has the disadvantages of inaccuracy or irregularity, this paper presents a new approach to extract the outlines of buildings: Firstly, images are preprocessed by combining spectral characteristics and multi-angle texture characteristics obtained by one dimensional Gabor filter of images to form characteristics to be segmented. On the basis of the construction of graph by Gaussian mixture model, the candidate points of the building can be determined by graph cuts, and the building blob can be obtained by mathematical morphology. Then according to segmentation objects, the main direction of the building is detected by the Radon transform, the least square matching templates are created, and the corner points are extracted precisely in the outline buffer zone. Finally, the accurate corner points are connected to constitute the outlines of the building. This method was tested by using synthetic image and high resolution images. The experimental result proves that this method is feasible.

Keywords spectral angle mapping(SAM) core hyperspectral image mineral alteration information diagnostic absorption features weight on absorption peak

TP79

Issue Date: 23 July 2015

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	ZHANG Yuan
	ZHANG Jielin
	ZHAO Xuesheng
	YUAN Bo

Cite this article:

ZHANG Yuan,ZHANG Jielin,ZHAO Xuesheng, et al. Extraction of building contour from high resolution images[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(3): 52-58.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2015.03.10 OR https://www.gtzyyg.com/EN/Y2015/V27/I3/52

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