3-D arc plasma fields reconstructions with self-adaptive emission spectral volume tomography algorithm

被引:0
|
作者
Cai, Gui-Ying
Wan, Xiong
He, Xing-Dao
机构
[1] Department of Computer and Information Engineering, Heilongjiang Institute of Science and Technology, Harbin 150027, China
[2] Department of Test and Control Engineering, Nanchang Institute of Aeronautical Technology, Nanchang 330034, China
来源
Guangxue Jishu/Optical Technique | 2005年 / 31卷 / 03期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:364 / 368
相关论文
共 23 条
  • [21] Evaluation of a 3D local multiresolution algorithm for the correction of partial volume effects in positron emission tomography
    Le Pogam, Adrien
    Hatt, Mathieu
    Descourt, Patrice
    Boussion, Nicolas
    Tsoumpas, Charalampos
    Turkheimer, Federico E.
    Prunier-Aesch, Caroline
    Baulieu, Jean-Louis
    Guilloteau, Denis
    Visvikis, Dimitris
    MEDICAL PHYSICS, 2011, 38 (09) : 4920 - 4933
  • [22] Self-Adaptive TSM-RT for the Fast Analysis of EM Scattering From 3-D Large-Scale Sea Surface
    Meng, Xiao
    Guo, Li-Xin
    Chai, Shui-Rong
    Jiao, Yong-Chang
    IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2017, 16 : 2420 - 2423
  • [23] Spectral-Spatial Classification of Hyperspectral Image Based on Self-Adaptive Deep Residual 3D Convolutional Neural Network
    Xiao Z.
    Jiang J.
    Ni C.
    Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2019, 31 (11): : 2017 - 2029