• Laser & Optoelectronics Progress
  • Vol. 55, Issue 8, 82801 (2018)
He Yan1、2、3、*, Hu Shanjiang1、2、4, Chen Weibiao1、2, Zhu Xiaolei1、2, Wang Yongxing5、6, Yang Zhong6, Zhu Xia6, Lü Deliang7, Yu Jiayong8, Huang Tiancheng9, Xi Xiaohuan10, Qu Shuai11, and Yao Bin3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • 5[in Chinese]
  • 6[in Chinese]
  • 7[in Chinese]
  • 8[in Chinese]
  • 9[in Chinese]
  • 10[in Chinese]
  • 11[in Chinese]
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    DOI: 10.3788/lop55.082801 Cite this Article Set citation alerts
    He Yan, Hu Shanjiang, Chen Weibiao, Zhu Xiaolei, Wang Yongxing, Yang Zhong, Zhu Xia, Lü Deliang, Yu Jiayong, Huang Tiancheng, Xi Xiaohuan, Qu Shuai, Yao Bin. Research Progress of Domestic Airborne Dual-Frequency LiDAR Detection Technology[J]. Laser & Optoelectronics Progress, 2018, 55(8): 82801 Copy Citation Text show less

    Abstract

    Airborne dual-frequency LiDAR detection technology collects simultaneous land and water-depth measurements using dual-wavelength laser. Since 1969, some commercial products have been formed for ocean, coastal zone and reef detection. Since 1998, Shanghai Institute of Optics and Fine Mechanics has successively developed three generations of airborne dual-frequency LiDAR, transforming from principle sample machines to product sample machines. The 11 flights tests of latest Mapper5000 system have been completed in the area of the South China Sea. Topographic and hydrographic data of islands and reefs have been collected. The measured hydrographic range is from 0.25 m to 51 m. The measured hydrographic vertical and horizontal accuracy are 0.23 m and 0.26 m, respectively. The measured hydrographic and topographic spatial density are 1.1 m×1.1 m and 0.25 m×0.25 m, respectively.
    He Yan, Hu Shanjiang, Chen Weibiao, Zhu Xiaolei, Wang Yongxing, Yang Zhong, Zhu Xia, Lü Deliang, Yu Jiayong, Huang Tiancheng, Xi Xiaohuan, Qu Shuai, Yao Bin. Research Progress of Domestic Airborne Dual-Frequency LiDAR Detection Technology[J]. Laser & Optoelectronics Progress, 2018, 55(8): 82801
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