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Proceedings Paper

Buildings generalization based on mathematical morphology
Author(s): Jun Li; Shunyi Zheng; Zuxun Zhang; Hui Yu; Jinbiao Liu
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Paper Abstract

The main characters of map generalization are analyzed in this paper. A new buildings' generalization method based on mathematical morphology is proposed to make the algorithm more effective: Firstly vector building objects are transformed into a binary image, in which vector objects are represented by raster features, the binary image is processed by means of morphological algorithms. Small bulged parts of houses are eroded by erosion calculation and small sunken parts of houses are filled by dilation calculation. Lastly the building's edges are extracted and transformed into vector polygons.

Paper Details

Date Published: 4 November 2005
PDF: 6 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60431E (4 November 2005); doi: 10.1117/12.654914
Show Author Affiliations
Jun Li, Wuhan Univ. (China)
College of Remote Sensing and Information Engineering (China)
Shunyi Zheng, College of Remote Sensing and Information Engineering (China)
Zuxun Zhang, College of Remote Sensing and Information Engineering (China)
Hui Yu, Wuhan Univ. (China)
Jinbiao Liu, Wuhan Institute of Surveying and Designing (China)


Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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