首页> 外文期刊>Computers & geosciences >Exploring multiple viewshed analysis using terrain features and optimisation techniques
【24h】

Exploring multiple viewshed analysis using terrain features and optimisation techniques

机译:使用地形特征和优化技术探索多视域分析

获取原文
获取原文并翻译 | 示例
           

摘要

The calculation of viewsheds is a routine operation in geographic information systems and is used in a wide range of applications. Many of these involve the siting of features, such as radio masts, which are part of a network and yet the selection of sites is normally done separately for each feature. The selection of a series of locations which collectively maximise the visual coverage of an area is a combinatorial problem and as such cannot be directly solved except for trivial cases. In this paper, two strategies for tackling this problem are explored. The first is to restrict the search to key topographic points in the landscape such as peaks, pits and passes. The second is to use heuristics which have been applied to other maximal coverage spatial problems such as location allocation. The results show that the use of these two strategies results in a reduction of the computing time necessary by two orders of magnitude, but at the cost of a loss of 10% in the area viewed. Three different heuristics were used, of which Simulated Annealing produced the best results. However the improvement over a much simpler fast-descent swap heuristic was very slight, but at the cost of greatly increased running times. (C) 2004 Elsevier Ltd. All rights reserved.
机译:视域的计算是地理信息系统中的常规操作,并且被广泛地应用。其中许多涉及功能的选址,例如无线电桅杆,它们是网络的一部分,但是通常针对每个功能分别进行站点选择。共同选择最大化区域可视范围的一系列位置的选择是一个组合问题,因此,除琐碎的情况外,无法直接解决。在本文中,探讨了解决该问题的两种策略。首先是将搜索范围限制在景观的关键地形点,例如山峰,凹坑和通道。第二种是使用已应用于其他最大覆盖空间问题(例如位置分配)的试探法。结果表明,使用这两种策略可以将所需的计算时间减少两个数量级,但代价是在查看区域中损失了10%。使用了三种不同的启发式方法,其中“模拟退火”产生了最佳结果。但是,相对简单得多的快速下降交换启发式算法的改进非常小,但代价是大大增加了运行时间。 (C)2004 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号