Simplification and rectangularity of building polygon based on least squares adjustment theory in map generalization

Pengcheng Liu; Tinghua Ai; Jifang Deng

doi:10.1117/12.812643

3 November 2008 Simplification and rectangularity of building polygon based on least squares adjustment theory in map generalization

Pengcheng Liu, Tinghua Ai, Jifang Deng

Author Affiliations +

Proceedings Volume 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments; 714332 (2008) https://doi.org/10.1117/12.812643
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

This paper presents a method of building feature generalization through boundary division and line approximation according to Least Squares Adjustment theory. How to detect a point set and divide the segments is investigated in detail in the paper. Based on the Least Squares Adjustment theory with constraint conditions, the paper offers a model of rectangularity of building-polygon on condition that the sum of the squares of displacement distances of all points is minimum. These solutions have been realized in a software GenTool, which is an interactive map generalization software in real applications.

Citation Download Citation

Pengcheng Liu, Tinghua Ai, and Jifang Deng "Simplification and rectangularity of building polygon based on least squares adjustment theory in map generalization", Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 714332 (3 November 2008); https://doi.org/10.1117/12.812643

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