Kong, L.; Qian, H.; Wu, Y.; Niu, X.; Wang, D.; Huang, Z. Regularization Algorithm for Right-Angled Polygon Building Outlines with Jagged Edges. Preprints2023, 2023060390. https://doi.org/10.20944/preprints202306.0390.v1
APA Style
Kong, L., Qian, H., Wu, Y., Niu, X., Wang, D., & Huang, Z. (2023). Regularization Algorithm for Right-Angled Polygon Building Outlines with Jagged Edges. Preprints. https://doi.org/10.20944/preprints202306.0390.v1
Chicago/Turabian Style
Kong, L., Di Wang and Zhekun Huang. 2023 "Regularization Algorithm for Right-Angled Polygon Building Outlines with Jagged Edges" Preprints. https://doi.org/10.20944/preprints202306.0390.v1
Abstract
Building outlines extracted from remote sensing images and raster maps often have irregular boundaries, redundant points, inaccurate positions, and unclear turns due to factors such as image quality, complexity of the surrounding environment, and extraction methods. This study proposes a regularization algorithm for right-angled polygon building outlines with jagged edges. First, the minimum bounding rectangle of the building outline is established and populated with a square grid based on the smallest visible length principle. An overlay analysis is then applied to the grid and original building to extract the turning points of the outline. Finally, the building orientation is used as a reference axis to sort the turning points and reconstruct the simplified building outline. Analysis of the experimental results shows that the proposed simplification method enhances the morphological characteristics of building outlines, such as parallelism and orthogonality, while considering simplification principles, such as the preservation of direction, position, area, and shape of the building. The proposed algorithm provides a new regularization method for building outlines with jagged edges.
Keywords
map generalization; jagged edge; building outline; regularization
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
