Tower-mounted camera-based wildfire detection systems provide an effective means of early forest fire detection. Historically, tower sites have been identified by foresters and locals with intimate knowledge of the terrain and without the aid of computational optimisation tools. When moving into vast new territories and without the aid of local knowledge, this process becomes cumbersome and daunting. In such instances, the optimisation of final site layouts may be streamlined if a suitable strategy is employed to limit the candidate sites to landforms which offer superior system visibility. A framework for the exploitation of landforms for these purposes is proposed. The landform classifications at 165 existing tower sites from wildfire detection systems in South Africa, Canada and the USA are analysed using the geomorphon technique, and it is noted that towers are located at or near certain landform types. A metaheuristic and integer linear programming approach is then employed to search for optimal tower sites in a large area currently monitored by the ForestWatch wildfire detection system, and these sites are then classified according to landforms. The results support the observations made for the existing towers in terms of noteworthy landforms, and the optimisation process is repeated by limiting the candidate sites to selected landforms. This leads to solutions with improved system coverage, achieved within reduced computation times. The presented framework may be replicated for use in similar applications, such as site-selection for military equipment, cellular transmitters, and weather radar.

基于摄像机的塔顶安装式野火检测系统提供了早期森林火灾检测的有效手段。从历史上看，林木工和当地人已经在不借助计算优化工具的情况下，通过对地形的深入了解来确定塔楼地点。当进入广阔的新领地而没有当地知识的帮助时，这一过程变得繁琐而艰巨。在这样的情况下，如果采用适当的策略将候选站点限制为提供卓越系统可见性的地形，则可以简化最终站点布局的优化。为此目的，提出了开发地貌的框架。使用geomorphon技术分析了南非，加拿大和美国野火探测系统在165个现有塔楼站点上的地貌分类，并且要注意的是，塔楼位于某些地形类型或附近。然后，采用元启发式和整数线性规划方法在ForestWatch野火检测系统当前监控的大面积区域中搜索最佳的塔式站点，然后根据地形对这些站点进行分类。结果支持了根据值得注意的地貌对现有塔的观察，并且通过将候选地点限制为选定的地貌来重复优化过程。这导致在减少的计算时间内实现了具有改善的系统覆盖范围的解决方案。可以复制提出的框架以用于类似的应用，例如军事设备，蜂窝发射机和天气雷达的选址。然后，采用元启发式和整数线性规划方法在ForestWatch野火检测系统当前监控的大面积区域中搜索最佳的塔式站点，然后根据地形对这些站点进行分类。结果支持了根据值得注意的地貌对现有塔的观察，并且通过将候选地点限制为选定的地貌来重复优化过程。这导致在减少的计算时间内实现了具有改善的系统覆盖范围的解决方案。可以复制提出的框架以用于类似的应用，例如军事设备，蜂窝发射机和天气雷达的选址。然后，采用元启发式和整数线性规划方法在ForestWatch野火检测系统当前监控的大面积区域中搜索最佳的塔式站点，然后根据地形对这些站点进行分类。结果支持了根据值得注意的地貌对现有塔的观察，并且通过将候选地点限制为选定的地貌来重复优化过程。这导致在减少的计算时间内实现了具有改善的系统覆盖范围的解决方案。可以复制提出的框架以用于类似的应用，例如军事设备，蜂窝发射机和天气雷达的选址。