2021 Vol.4 Jun.No.2

• Title: The influence of night vision camera technology on the deviation analysis of seismic observation image
• Name: Vicente García-Díaz
• Company: Department of Computer Science, University of Oviedo, Spain
• Abstract:

  As a night vision technology to optimize human vision, it plays an important role in the field of night observation, aiming, driving, navigation and seismic observation. A support vector machine (SVM) based image deviation evaluation method for night vision is proposed in order to realize high precision image deviation evaluation for earthquake night vision observation. In this method, the seismic night vision observation chart is obtained by the night vision imaging system in seismic blasting field, and the unreferenced night vision image quality evaluation method based on support vector machine is adopted to analyze the deviation of the seismic night vision observation chart. Experimental results show that compared with the similar method, the proposed method of salt and pepper noise, gaussian noise night vision image, night vision image fuzzy night vision image multiple evaluation, evaluation is always the highest precision, anti-jamming evaluation of the highest, and the evaluation takes the smallest, can be achieved in a short time, high precision CCD image deviation analysis, the method can provide theoretical basis for research on earthquake observation.

   

• Keyword: night vision camera technology; earthquake; observation; image; deviation analysis; support vector machine
• DOI: 10.12250/jpciams2021090226
• Citation form: Vicente García-Díaz.The influence of night vision camera technology on the deviation analysis of seismic observation image[J]. Computer Informatization and Mechanical System,2021,Vol.4,pp.46-50.

References

[1] Li Zhuo, Wu Boqi ,Shi Gonglai. Fabrication of Thin Film Band-Pass Filter for Automotive Active Infrared Night Vision System[J]. Chinese Journal of Vacuum Science and Technology, 2019,39(07):557-561.

 [2] Shi Yongbiao ,Zhang Yong. Survey on Development about Vehicular Infrared Night Vision Technology[J]. Infrared Technology, 2019,41(06):504-510.

[3] Liu Jianlei. No-reference color image quality assessment based on local features[J]. Optics and Precision Engineering, 2016, 24(5):1176-1184.

 [4] Wei Xinjian, Li Shuping, Chen Dewu, et al. Evaluation of seismic acquisition quality in complex area[J]. Geophysical Prospecting for Petroleum, 2019, 58(1):27-33.

[5] Mao Haibo, Fan Xu, Yang Xiaohai, et al. Application research on improving the resolution of broadband land post-stack seismic data in wavelet domain[J]. Geophysical Prospecting for Petroleum, 2019,58(04):541-546+579.

[6] Chen Lingmin, Wu Jiekang, Tang Huiling, et al. Optimal allocation model of the micro-energy grid with CCHP considering renewable energy consumption[J]. Jiangsu Electrical Engineering, 2019,38(05):121-129.

[7] Akihiko Koga, Hideyuki Tanabe, Yuriko Hirai,et al. Co-Opted Megasatellite DNA Drives Evolution of Secondary Night Vision in Azara's Owl Monkey[J]. Genome Biology & Evolution, 2017, 9(7):1963-1970.

[8] Nie Yan, Yun Meihou, Zhao Qiufang. Development of virtual seismic acquisition simulation system[J]. Progress in Geophysics, 2016, 31(2):754-761.

[9] Zhang Meng, Li Xianzhi, Li Zhe, et al. Study and Application on Seismic Prospecting and Acquisition Technology in Loess Plateau Area[J]. Coal Technology, 2018,37(07):135-138.

[10] Jiang Heng ,Wang Xiaobing, Zhang Jing, et al. Design and realization of low-light-level night-vision device detection system based on machine vision[J]. Journal of Applied Optics, 2016, V37(3):342-346.

[11] Gaurav Bhatnagar, Q. M. Jonathan Wu. Fractal dimension based framework for night vision fusion[J]. IEEE/CAA Journal of Automatica Sinica, 2018, PP(99):1-8.

[12] Guo Bingtao, Zhang Weiguo ,Wang Jianjun, et al. Modeling and simulation of halo effect of night vision system[J]. Intense laser and particle beam, 2016,28(11):170-175.

[13] V. Yu. Burmin, Ngo Thi Lu, Phung Thi Thu Hang,等. Estimating the Efficiency of the New Seismic Network in Vietnam[J]. Seismic Instruments, 2018, 54(3):281-292.

[14] Xue Xiaobo, Yu Mei, He Meiling. Stereoscopic Image-Quality-Assessment Method Based on Visual Cell Model[J]. Laser & Optoelectronics Progress, 2016,53(04):86-93.

[15] Ye Fanying, OuYang Longbin. Discussion on Uninterruptible Power System in Seismic Network Machine Room[J].South China Journal of Seismology, 2016,36(03):116-12