Visualization for Radar Network Detection Ability via Blending Rendering of Multilayer Isosurface

Hu Huaquan, Yang Chao, Wu Lingda
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Abstract

Radar network detection performance is described by radar network detection probability. This paper presents two visualization methods of multilayer is surface which is extracted from radar network data for different requirements. The first algorithm, Multilayer Pseudo-sort Algorithm, boosts up the borderline using Per-Pixel Shading, improves the performance of rendering but the quality is low. Another algorithm, Improved Depth Peeling, solves the problem of nonuniform depth distributing of multi-fragment using slice map technology and obtains great improvement for large scenes with high complexity. The former can well balance between performance and quality while the latter can capture multiple fragments in a single process.
基于多层等值面混合渲染的雷达网络检测能力可视化
雷达网络探测性能用雷达网络探测概率来描述。针对不同的要求,提出了两种从雷达网数据中提取的多层地面图的可视化方法。第一种算法是多层伪排序算法,该算法使用逐像素阴影增强边界,提高了渲染性能,但质量较低。另一种算法是改进深度剥离算法,该算法利用切片图技术解决了多片段深度分布不均匀的问题,对于高复杂性的大场景有很大的改进。前者可以很好地平衡性能和质量,而后者可以在单个过程中捕获多个片段。
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