A Fast Hidden Surface Removal Approach for Complex SAR Scene Based on Adaptive Ray-tube Splitting Method

Q2 Physics and Astronomy 雷达学报 Pub Date : 2013-05-03 DOI:10.3724/SP.J.1300.2012.20064
Dong Chunzhu, Yin Hongcheng, Wang Chao
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引用次数: 2

Abstract

Traditional hidden surface removal algorithm based on hardware Z-Buffer technique cannot give attention to precision or efficiency at the same time when dealing with the non-uniform triangulated SAR (Synthetic Aperture Radar) scene model. A novel high-precision hidden surface removal approach using fast ray-tube splitting algorithm is proposed, where the SAR scene hidden surface removal problem is decomposed into two simple procedures, i.e. a Delaunay triangulator is used to generate the initial ray tubes from the projected point clouds of all incident visible vertices, then an adaptive ray-tube splitting method is adopted to carry out the complex scene shading situations and resultant visible model reconstruction. Simulation results of typical aircraft and T-72 tank show that, the new approach is feasible and effective.
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基于自适应射线管分割法的复杂SAR场景隐藏面快速去除方法
传统的基于硬件Z-Buffer技术的隐面去除算法在处理非均匀三角合成孔径雷达场景模型时,不能同时兼顾精度和效率。提出了一种新的基于快速射线管分割算法的高精度隐藏面去除方法,该方法将SAR场景隐藏面去除问题分解为两个简单的步骤,即利用Delaunay三角剖分器从所有入射可见顶点的投影点云中生成初始射线管,然后采用自适应射线管分割方法进行复杂场景遮阳情况和由此产生的可见模型重建。典型飞机和T-72坦克的仿真结果表明,该方法是可行和有效的。
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来源期刊
雷达学报
雷达学报 Physics and Astronomy-Instrumentation
CiteScore
4.10
自引率
0.00%
发文量
882
期刊介绍: Journal of Radars was founded in 2012 by the Institute of Space and Astronautical Information Innovation of the Chinese Academy of Sciences (formerly the Institute of Electronics) and the China Radar Industry Association (CRIA), which is located in the high-end academic journal and academic exchange platform in the field of radar, and is committed to promoting and leading the scientific and technological development in the field of radar. The journal can publish Chinese papers and English papers, and is now a bimonthly journal. Journal of Radars focuses on theory, originality and foresight, and its scope of coverage mainly includes: radar theory and system, radar signal and data processing technology, radar imaging technology, radar identification and application technology. Journal of Radars has been included in domestic core journals and foreign Scopus, Ei and other databases, and was selected as ‘China's high-quality science and technology journals’, and ranked the first in the category of electronic technology and communication technology in the ‘Chinese Core Journals List (2023 Edition)’.
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