Abstract
Constrained Building Boundary Simplification Based on Partial Total Least Squares Method
Highlights
Various remote sensing images or surveyed data provide substantial information for different kinds of maps
Buildings are important components of different kinds of city-area maps obtained from various remote sensing images or surveying instruments
A building polygon simplification method with data quality constraints based on the partial total least squares method with constraints (PTLSC) is proposed in this paper
Summary
Various remote sensing images or surveyed data provide substantial information for different kinds of maps. The simplification of buildings, which are critical components in city-area maps, is one of the important operations in map generalization. The simplification of building boundaries may cause some data quality problems such as changes in angles, areas, and geometric displacements, resulting in large data inconsistencies in the geometric information of buildings at different scales. In this paper, we focus on building boundary simplification with data quality constraints. Buildings can be regarded in one way as polygons and in another way as closed polyline objects. In the case of buildings regarded as polygons, significant works have been carried out on building polygon simplification methods, such as those based on mathematical morphology, pattern recognition,(1–3) and building skeleton lines,(4) and approaches that establish the shape templates of buildings.[5]
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