地形场景是整个虚拟战场推演系统的重要组成元素.由于现代战争中融合陆海空各军种庞大的武器元素和环境元素,地形渲染可获取的资源十分有限,而涉及的数据量却非常巨大,是影响整个系统性能的瓶颈.针对该问题,设计静态和动态结合的嵌套四叉树结构组织大地形数据,以实现大数据的动态平衡调度;提出基于环形索引模式的高程拟合算法来避免不同分辨率模块间的裂缝.实验表明,该方法不仅有效提高了推演系统的实时性和沉浸感,还极大地降低了系统的资源负载率.%Terrain scene is an important element in entire virtual battlefield deductive system.Since modern battle contains huge amount of weapon elements of different military services including army,navy and air force and environment elements,whereas the acquirable resource for terrain rendering is very limited,and the data amount involved is bulky,it becomes the bottleneck of the whole system.To solve this problem,we design a nested quadtree structure with static and dynamic combination to organise the large terrain data so as to realise the dynamic balance scheduling; we also propose the elevation fitting algorithm which is based on annulus index mode to avoid the cracks between different resolutions modules.Experiments show that this method improves the real-time property and immersion of the deductive system,and also greatly reduces the resource loading rate of the system.
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