Paper
3 November 2005 Buildings generalization based on mathematical morphology
Jun Li, Shunyi Zheng, Zuxun Zhang, Hui Yu, Jinbiao Liu
Author Affiliations +
Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60431E (2005) https://doi.org/10.1117/12.654914
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Li, Shunyi Zheng, Zuxun Zhang, Hui Yu, and Jinbiao Liu "Buildings generalization based on mathematical morphology", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60431E (3 November 2005); https://doi.org/10.1117/12.654914
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Cited by 1 scholarly publication.
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KEYWORDS
Buildings

Raster graphics

Binary data

Image processing

Mathematical morphology

Edge detection

Map generalization

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