A Building Segmentation Algorithm Based on Mathematical Morphology and Multi-scale Segmentation

doi:10.6046/gtzyyg.2012.02.08

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Abstract Multi-scale segmentation approach is a relatively mature and stable algorithm in object-oriented image analysis algorithms; nevertheless, the problems of partial segmentation inaccuracy and low segmentation efficiency remain existent in this means. In view of this situation, the authors propose an algorithm combining the mathematical morphological operation with multi-scale building segmentation in this paper. First, the Gaussian filter is used to filter the image. And then, the mathematical morphological operation is used to erode the image. Finally, the multi-scale segmentation algorithm is applied to the image to extract the buildings. Experiments were conducted on the QuickBird image of a local area in Kunming, and the results show that the algorithm presented in this paper is more accurate and efficient than the traditional algorithms,and is thus of reference significance for similar segmentation work.

Keywords remote sensing interpretation mineral resources ore-forming element minimum area of mineral prediction

:	TP 751.1
	P 237

Issue Date: 03 June 2012

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	LI Song
	LI Hai-ying

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LI Song,LI Hai-ying. A Building Segmentation Algorithm Based on Mathematical Morphology and Multi-scale Segmentation[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(2): 41-44.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2012.02.08 OR https://www.gtzyyg.com/EN/Y2012/V24/I2/41

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