[1] LI G C. Aero-optics[M]. Beijing:National Defense Industry Press, 2006. (in Chinese)
[2] MILLER D W. AIT interceptor performance predictions[C]//2nd Annual AIAA/SDIO Interceptor Technology Conference, June 6-9, 1993, Albuquerque, NM, America. Reston:AIAA, 1993.
[3] GIERLOFF J J, ROBERTSON S J, BOUSKA D H. Computer analysis of aero-optics effects[C]//The AIAA/SDIO Annual Interceptor Technology Conference, May 19-21, 1992, Huntsville, AL, America. Reston:AIAA, 1992.
[4] XU L, CAI Y L. High altitude aero-optic imaging deviation prediction for a hypersonic flying vehicle[C]//Proceedings of 2011 IEEE International Conference on Imaging Systems and Techniques, May 17-18, 2011, Batu Ferringhi, Malaysia. New York:IEEE,2011:210-214.
[5] XU L, CAI Y L. Influence of non-uniform flow fields on imaging deviation of side-window airborne optical systems[C]//Proceedings of 2011 IEEE International Conference on Imaging Systems and Techniques, May 17-18, 2011, Batu Ferringhi, Malaysia. New York:IEEE, 2011:12-15.
[6] XU L, CAI Y L. Influence of altitude on aero-optic imaging deviation[J]. Applied optics, 2011, 50(18): 2949-2957.
[7] XU L, CAI Y L. Imaging deviation through non-uniform flow fields around high-speed flying vehicles[J]. Optik, 2012, 123(13):1177-1182.
[8] YAO Y, XUE W, WANG T, et al. Influence of LOS angle on aero-optics imaging deviation[J]. Optik, 2019, 202(18):163732.
[9] WU Y Y, XUE W, XU L, et al. Least-squares support vector machine for predicting aero-optic imaging deviation based on chaotic particle swarm optimization[J]. Optik, 2019, 206(12):163215.
[10] WANG T, ZHAO Y, XU D. Numerical study using angular spectrum propagation model for aero optical imaging[J]. Optik, 2013, 124(5):411-415.
[11] WANG T, ZHAO Y, XU D, et al. Numerical study of evaluating the optical quality of supersonic flow fields[J]. Applied optics, 2007, 46(23):5545-5551.
[12] WANG M, MANI A, GORDEYEV S. Physics and computation of aero-optics[J]. Annual review of fluid mechanics, 2012, 44(1):299-321.
[13] WANG X Q, SARHADDI D, WANG Z, et al. Modeling-based hyper-reduction of multidimensional computational fluid dynamics data:application to ship airwake data[J]. Journal of aircraft, 2019, 56(6):1-12.
[14] XU D, LIU H W, WU L, et al. High-order singular value decomposition applied in aero-optical effects analysis[J]. Acta optica sinica, 2010, 30(12):3367-3372. (in Chinese)
[15] XU L, ZHANG Z Y, CHEN X, et al. Improved sparrow search algorithm based BP neural networks for aero-optical imaging deviation prediction[J]. Journal of optoelectronics·laser, 2021, 32(06):653-658. (in Chinese)
[16] WANG F J. Computational fluid dynamics analysis[M]. Beijing:Tsinghua University Press, 2004. (in Chinese)
[17] ZHU Z T. Analysis of aero-optical effect around the turbulent flow field of the high-speed aircraft[D]. Nanjing : Nanjing University of Science And Technology, 2016. (in Chinese)
[18] XUE D T. Engineering estimation of aero-optics imaging deviation based on backward ray-tracing[D]. Tianjin :Tianjin University of Technology, 2018. (in Chinese)
[19] LIU Y, YUAN Y T, GUO X, et al. Influence analysis of atmospheric refraction on location of television guiding missiles[J]. Acta aeronautica ET astronautica sinica, 2018, 39(12):285-294. (in Chinese)
[21] HAN J, LIU Y W. Multi-threshold segmentation for center extraction of structured light stripe[J]. Journal of geomatics, 2020, (3):20-23. (in Chinese)
[22] LIU X L, HE D, CHEN H L, et al. Techniques of structured light measurement network with 3D sensors[J]. Infrared and laser engineering, 2020, 49(3):109-118. (in Chinese)
[23] DING C, TANG L W, CAO L J, et al. Knowledge-based automatic extraction of multi-structured light stripes[J]. Journal of real-time image processing, 2020, 17: 1015-1027.
[24] CARSTEN S. An unbiased detector of curvilinear structures[J]. IEEE transactions on pattern analysis & machine intelligence, 1998, 20(2):113-125.
[25] WANG Z, ALAN C B, HAMID R S, et al. Image quality assessment:from error visibility to structural similarity[J]. IEEE transactions on image processing, 2004, 13(4):600-612.
[26] ZHANG J, LU Y H, LIANG L P, et al. Optimization method of adaptive center extraction of linear structured light stripe[J]. Applied laser, 2019, 39(6):1028-1034. (in Chinese)
[27] WANG Z M. Noise variance estimation based on image segmentation[J]. Chinese journal of engineering, 2015, (9):1218-1224. (in Chinese)
[28] DALJIT S D, VENU M G. Geometric and radiometric estimation in a structured-light 3D scanner[J]. Machine vision & applications, 2015, 26(2-3):339-352.
[29] XUE Q, WANG Z, GAO J M, et al. Improving the measuring accuracy of structured light measurement system[J]. Optical engineering, 2014, 53(11):112204.
[30] JEAN Y D. Optical signal processing with illumination-encoded filters[J]. Computer vision & image understanding, 2011, 115(5):561-575.
[31] FORRESTER D I, GUISASOLA R, TANG X L, et al. Using a stand-level model to predict light absorption in stands with vertically and horizontally heterogeneous canopies[J]. Forest ecosystems, 2014, 1(3):158-176.
[32] KIDDEE P, FANG Z J, TAN M. A practical and intuitive calibration technique for cross-line structured light[J]. Optik, 2016, 127(20):9582-9602.
[33] CHONG B, ZHU Y K. Speckle reduction in optical coherence tomography images of human finger skin by wavelet modified BM3D filter[J]. Optics communications, 2013, 291:461-469.
[34] CURRAN P J, DUNGAN J L. Estimation of signal to noise:a new procedure applied to AVIRIS data[J]. IEEE transactions on geo-science and remote sensing, 1989, 27(5):620-628.
[35] LI H L, ZHANG Q, YANG D W. Improved algorithm for no-reference quality assessment of blurred image[J]. Journal of computer applications, 2014, 34(3):797-800. (in Chinese)
[36] XUE Q, WANG Z, HUANG J H, et al. A two-level space-time color-coding method for 3D measurements using structured light[J]. Measurement science and technology, 2015, 26(11):115204.