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自适应发射光谱体层析技术重建三维等离子体场 被引量:1

3-D arc plasma fields reconstructions with self-adaptive emission spectral volume tomography algorithm
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摘要 提出一种基于多目标优化原理的自适应权重因子调节发射光谱体层析图像重建新算法SVRT(Self_adap tiveVolumeReconstructionTechnique)。通过计算机数值模拟,考察了该算法对非对称单峰发射系数场分布的重建效果。结果表明,SVRT算法具有收敛快,重建精度高的特点,仅用两个方向的投影数据就能高精度地重建单峰三维发射系数场分布。作为一个应用实例,结合谱线相对强度测量方法重建了自由电弧等离子体的三维温度场及电离度场分布。 A novel self-adaptive volume reconstruction technique (SVRT) based on multi-objective optimization was proposed. Its reconstruction results for asymmetrical single-peak emission coefficient field were studied with the numerical simulation of computer. The results show that this algorithm has faster convergences and higher reconstruction precision and has reconstructed asymmetrical single-peak emission coefficient field perfectly with only two views. In the experiment of Argon-arc plasma diagnosis, the 3-D reconstructions of temperature and ionization coefficient fields were fulfilled with this algorithm combining with the spectrum relative-intensity method.
出处 《光学技术》 EI CAS CSCD 北大核心 2005年第3期364-368,372,共6页 Optical Technique
基金 中国航空科学基金批准号(00I56004)资助项目
关键词 体层析 等离子体诊断 图像重建 光谱 volume computed tomography plasma diagnosis image reconstruction spectrum
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