Acta Optica Sinica, Volume. 40, Issue 11, 1128001(2020)

Radiation Calibration and Ground Object Information Acquisition Based on High Spectral Imaging Lidar System

Liyong Qian1,2, Decheng Wu1, Xiaojun Zhou1, Liujun Zhong1, Wei Wei1, Wenju Wang1, Yingjian Wang1, Wei Gong3, and Dong Liu1,2、*
Author Affiliations
  • 1Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2University of Science and Technology of China, Hefei, Anhui 230026, China
  • 3State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei 430072, China
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    In this study, an optical structure design and optical radiometric-calibration method for a hyperspectral-imaging lidar system are proposed. Using the proposed method, the central wavelength and bandwidth of each receiving channel were directly determined using a scanning monochromator. The system-calibration coefficients of each channel were measured in the laboratory using the hyperspectral-image lidar equation and excluding the influence of atmosphere extinction. Simulation results show that the synthetic uncertainty is 0.87% and the extended uncertainty (k=2) is 1.73%. Furthermore, a novel technique was used to monitor the emitted laser-pulse power in real time during the flight experiment. Based on echo-signal intensity information from the detector, the hyperspectral reflectance of the earth's surface can be accurately retrieved, and the high-precision terrain acquisition and super-fine surface classification can be realized.

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    Liyong Qian, Decheng Wu, Xiaojun Zhou, Liujun Zhong, Wei Wei, Wenju Wang, Yingjian Wang, Wei Gong, Dong Liu. Radiation Calibration and Ground Object Information Acquisition Based on High Spectral Imaging Lidar System[J]. Acta Optica Sinica, 2020, 40(11): 1128001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jan. 9, 2020

    Accepted: Feb. 27, 2020

    Published Online: Jun. 10, 2020

    The Author Email: Liu Dong (dliu@aiofm.ac.cn)

    DOI:10.3788/AOS202040.1128001

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