Research on novel 3D buffer analysis method based on vector

Haixia Wang; Fei Guo; Guonian Lv; Liangchen Zhou

doi:10.1117/12.815963

29 December 2008 Research on novel 3D buffer analysis method based on vector

Haixia Wang, Fei Guo, Guonian Lv, Liangchen Zhou

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72853Q (2008) https://doi.org/10.1117/12.815963
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

Spatial buffer analysis is one of the important and basic spatial operation functions of geographic information system. Studying 2D spatial buffer generation and analysis was more than the 3D spatial presently, thereby a novel 3D buffer generation algorithm based on vector was presented in this paper. 3D spatial solid is represented by B-Rep model and it's buffer is categorized into solid boundary buffer and solid interior, then construct the whole buffer by union operation on them. The boundary features of 3D spatial solid are classified into point feature, line features and face features. Usually, the statistical analysis is necessary after solid buffer generation. Thus, we proposed a new method which can quick judge whether the buffer affecting the surrounding objects based on collision detection theory. Finally, taking the surface and underground 3D space around University City region of Xianlin as the research area, a 3D buffer with complex geological environment and man-made buildings is created based on the new presented algorithm, and spatial statistical analysis is achieved based on the generated 3D buffer. The results show that the improved algorithm is efficient and practicable, especially the proposed 3D buffer generation algorithm based on vector is applicable for convex body and concave body comparing with current approaches.

Citation Download Citation

Haixia Wang, Fei Guo, Guonian Lv, and Liangchen Zhou "Research on novel 3D buffer analysis method based on vector", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72853Q (29 December 2008); https://doi.org/10.1117/12.815963

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