光学学报, 2019, 39 (10): 1012002, 网络出版: 2019-10-09   

基于正则先验的全变差快速代数迭代算法及其在火焰辐射测量中的重建性能分析 下载: 825次

Regularization Priori Based Fast ARTTV Algorithm and Its Reconstruction Performance Analysis During Flame Radiation Measurement
李明杰 1,2贺铸 1,2,*
作者单位
1 武汉科技大学耐火材料与冶金国家重点实验室, 湖北 武汉 430081
2 武汉科技大学材料与冶金学院, 湖北 武汉 430081
引用该论文

李明杰, 贺铸. 基于正则先验的全变差快速代数迭代算法及其在火焰辐射测量中的重建性能分析[J]. 光学学报, 2019, 39(10): 1012002.

Mingjie Li, Zhu He. Regularization Priori Based Fast ARTTV Algorithm and Its Reconstruction Performance Analysis During Flame Radiation Measurement[J]. Acta Optica Sinica, 2019, 39(10): 1012002.

参考文献

[1] Tolles W M, Nibler J W. McDonald J R, et al. A review of the theory and application of coherent anti-Stokes Raman spectroscopy (CARS)[J]. Applied Spectroscopy, 1977, 31(4): 253-271.

[2] 娄春, 陈辰, 孙亦鹏, 等. 碳氢火焰中碳黑检测方法评述[J]. 中国科学:技术科学, 2010, 40(8): 946-958.

    Lou C, Chen C, Sun Y P, et al. Review of soot measurement in hydrocarbon-air flames[J]. Scientia Sinica(Technologica), 2010, 40(8): 946-958.

[3] Rensberger K J, Jeffries J B, Copeland R A, et al. Laser-induced fluorescence determination of temperatures in low pressure flames[J]. Applied Optics, 1989, 28(17): 3556-3566.

[4] 刘进, 亢艳芹, 顾云波, 等. 稀疏张量约束的低剂量CT图像重建[J]. 光学学报, 2019, 39(8): 0811004.

    Liu J, Kang Y Q, Gu Y B, et al. Sparse tensor constrained for low dose CT reconstruction[J]. Acta Optica Sinica, 2019, 39(8): 0811004.

[5] Cheng Q, Zhang X Y, Wang Z C, et al. Simultaneous measurement of three-dimensional temperature distributions and radiative properties based on radiation image processing technology in a gas-fired pilot tubular furnace[J]. Heat Transfer Engineering, 2014, 35(6/7/8): 770-779.

[6] Cai W W, Kaminski C F. Tomographic absorption spectroscopy for the study of gas dynamics and reactive flows[J]. Progress in Energy and Combustion Science, 2017, 59: 1-31.

[7] Yang W Q, Peng L H. Image reconstruction algorithms for electrical capacitance tomography[J]. Measurement Science and Technology, 2003, 14(1): R1-R13.

[8] Song X Z, Xu Y B, Dong F. A spatially adaptive total variation regularization method for electrical resistance tomography[J]. Measurement Science and Technology, 2015, 26(12): 125401.

[9] Zhang X Y, Cheng Q, Lou C, et al. An improved colorimetric method for visualization of 2-D, inhomogeneous temperature distribution in a gas fired industrial furnace by radiation image processing[J]. Proceedings of the Combustion Institute, 2011, 33(2): 2755-2762.

[10] Liu D, Yan J H, Wang F, et al. Experimental reconstructions of flame temperature distributions in laboratory-scale and large-scale pulverized-coal fired furnaces by inverse radiation analysis[J]. Fuel, 2012, 93: 397-403.

[11] Liu L H, Man G L. Reconstruction of time-averaged temperature of non-axisymmetric turbulent unconfined sooting flame by inverse radiation analysis[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2003, 78(2): 139-149.

[12] Sidky E Y, Pan X C. Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization[J]. Physics in Medicine & Biology, 2008, 53(17): 4777-4807.

[13] Cai W W, Li X S, Ma L. Practical aspects of implementing three-dimensional tomography inversion for volumetric flame imaging[J]. Applied Optics, 2013, 52(33): 8106-8116.

[14] Zhang B, Zhao M M, Liu Z G, et al. Flame four-dimensional deflection tomography with compressed-sensing-revision reconstruction[J]. Optics and Lasers in Engineering, 2016, 83: 23-31.

[15] Huang GB, Zhu QY, Siew CK. Extreme learning machine: a new learning scheme of feedforward neural networks[C]//2004 IEEE International Joint Conference on Neural Networks, July 25-29, 2004, Budapest, Hungary. New York: IEEE, 2004: 985- 990.

[16] Liu X, Wang X X, Hu H L, et al. An extreme learning machine combined with Landweber iteration algorithm for the inverse problem of electrical capacitance tomography[J]. Flow Measurement and Instrumentation, 2015, 45: 348-356.

[17] Yu T, Cai W W, Liu Y Z. Rapid tomographic reconstruction based on machine learning for time-resolved combustion diagnostics[J]. Review of Scientific Instruments, 2018, 89(4): 043101.

[18] Liu D, Yan J H, Cen K F. On the treatment of scattering for three-dimensional temperature distribution reconstruction accuracy in participating medium[J]. International Journal of Heat and Mass Transfer, 2011, 54(7/8): 1684-1687.

[19] Li T J, Li S N, Yuan Y, et al. Light field imaging analysis of flame radiative properties based on Monte Carlo method[J]. International Journal of Heat and Mass Transfer, 2018, 119: 303-311.

[20] Gordon R, Bender R, Herman G T. Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and X-ray photography[J]. Journal of Theoretical Biology, 1970, 29(3): 471-481.

[21] 莫礼东, 徐伯庆. 一种改进的TV图像重建算法[J]. 电子科技, 2016, 29(10): 47-50.

    Mo L D, Xu B Q. An improved TV image reconstruction algorithm[J]. Electronic Science and Technology, 2016, 29(10): 47-50.

[22] . 40):[J]. Guo X C. Unconstrained optimization problems: study on the most rapid descent method, Newton algorithm. Course Education Research, 2018, 157: 159.

    郭勋诚. 40):[J]. . 无约束优化问题: 最速下降法和牛顿算法研究. 课程教育研究, 2018, 157: 159.

[23] Paige C C, Saunders M A. LSQR: an algorithm for sparse linear equations and sparse least squares[J]. ACM Transactions on Mathematical Software, 1982, 8(1): 43-71.

[24] ShiY, Eberhart RC. Empirical study of particle swarm optimization[C]//1999 Congress on Evolutionary Computation-CEC99, July 6-9, 1999, Washington, DC, USA. New York: IEEE, 1999: 1945- 1950.

[25] Liu F S, Guo H S, Smallwood G J, et al. Numerical modelling of soot formation and oxidation in laminar coflow non-smoking and smoking ethylene diffusion flames[J]. Combustion Theory and Modelling, 2003, 7(2): 301-315.

[26] van Heeswijk M, Miche Y, Oja E, et al. . GPU-accelerated and parallelized ELM ensembles for large-scale regression[J]. Neurocomputing, 2011, 74(16): 2430-2437.

李明杰, 贺铸. 基于正则先验的全变差快速代数迭代算法及其在火焰辐射测量中的重建性能分析[J]. 光学学报, 2019, 39(10): 1012002. Mingjie Li, Zhu He. Regularization Priori Based Fast ARTTV Algorithm and Its Reconstruction Performance Analysis During Flame Radiation Measurement[J]. Acta Optica Sinica, 2019, 39(10): 1012002.

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