Paper
28 October 2006 Incremental terrain visibility analysis
Shen Ying, Lin Li, Yang Mei, Xiaoyan Peng
Author Affiliations +
Proceedings Volume 6420, Geoinformatics 2006: Geospatial Information Science; 64201S (2006) https://doi.org/10.1117/12.712943
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China
Abstract
Visibility analysis is an important aspect in terrain analysis. Terrain visibility calculation is a time-consuming process, and visibility algorithms are dedicated to reduce the algorithm complexity to enhance calculation speed. We use digital elevation model to represent terrain. This equal-distance discrete data structure can be processed by geometric algorithm. The paper judges line of sight (LOS) visibility through geometric vector cross product, then delivers an incremental method to calculate terrain visibility with comparison of elevation difference using increments base on grid size. We analyze the algorithm performance in two aspects: horizontal and vertical comparisons. Through vertical analysis, the run-time of the algorithms has been measured for different terrain configurations and different heights of the viewpoint in terrain region. The method is more simple, lower complexity and easier to realize. We give out many computational results of viewshed with different location, and analyze the their distribution characteristics. We conclude that this method have high efficiency in undulant terrain with long line of sight or deep valleys. Also we compare this method with ARCGIS viewshed function horizontally through many tests and find that incremental method is faster and finer than ARCGIS model.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shen Ying, Lin Li, Yang Mei, and Xiaoyan Peng "Incremental terrain visibility analysis", Proc. SPIE 6420, Geoinformatics 2006: Geospatial Information Science, 64201S (28 October 2006); https://doi.org/10.1117/12.712943
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Visibility

Eye

Algorithm development

Analytical research

Computing systems

Detection and tracking algorithms

Lithium

RELATED CONTENT


Back to Top