Application of neural network in leading of photoelectric tracking system

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

Journals >Opto-Electronic Engineering >Volume 33 >Issue 8 >Page 1 > Article

Opto-Electronic Engineering
Vol. 33, Issue 8, 1 (2006)

Application of neural network in leading of photoelectric tracking system

[in Chinese]¹, [in Chinese]¹, [in Chinese]¹, [in Chinese]^1、2, and [in Chinese]^1、2

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¹[in Chinese]

²[in Chinese]

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[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Application of neural network in leading of photoelectric tracking system[J]. Opto-Electronic Engineering, 2006, 33(8): 1 Copy Citation Text

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References

CLP Journals

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[3] XIAO Ling, LIU Dong, WANG Yingjian, WANG Zhenzhu, XIE Chenbo. Survey on Self-Aligning Method for Atmospheric Monitoring Lidar System[J]. Journal of Atmospheric and Environmental Optics, 2016, 11(3): 161

[4] Shi Guohua, Rao Xuejun, Ding Zhihua, Zhang Yudong, Jiang Wenhan. Distance Measurement of Optical Surface Based on Optical Coherence Tomography[J]. Chinese Journal of Lasers, 2009, 36(s2): 210

[5] ZHENG Wei, GUO Lili, ZHAO Longfei, LIANG Zeng, HAO Dongmei. Registration of SPECT Image and B-type Ultrasound Image Based on Artificial Bee Colony Algorithm[J]. Opto-Electronic Engineering, 2014, 41(8): 51

[6] Tan Ying, Wu Xiaying, Peng Xinzhong, Yi Fan. Implementation of Self-Aligning System with a Single Click for the Lidar[J]. Chinese Journal of Lasers, 2011, 38(s1): 114005

[7] CHEN Bing, ZHAO Yi-gong, LI Xin. A New Approach to Target Tracking during Infrared Image Terminal Guidance[J]. Acta Photonica Sinica, 2009, 38(11): 3034

[8] TAN Kun, SHAO Shi-sheng. A Self-alignment System of a Mobile Lidar[J]. Journal of Atmospheric and Environmental Optics, 2008, 3(5): 344

[9] Li Xiaofeng, Xu Jun, Luo Jijun, Cao Lijia, Zhang Shengxiu, Zhang Ying. Sequential Detection of Targets in Laser Active Imaging System[J]. Chinese Journal of Lasers, 2011, 38(9): 908007

[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Application of neural network in leading of photoelectric tracking system[J]. Opto-Electronic Engineering, 2006, 33(8): 1

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