光学学报, 2020, 40 (11): 1128001, 网络出版: 2020-06-10   

高光谱成像激光雷达系统辐射定标和地物信息获取 下载: 1284次

Radiation Calibration and Ground Object Information Acquisition Based on High Spectral Imaging Lidar System
作者单位
1 中国科学院安徽光学精密机械研究所中国科学院大气光学重点实验室, 安徽, 合肥 230031
2 中国科学技术大学, 安徽, 合肥 230026
3 武汉大学测绘遥感信息工程国家重点实验室, 湖北, 武汉 430072
摘要
提出一种高光谱成像激光雷达系统的光学结构设计,并对系统的光学辐射定标方法进行研究。利用单色仪对出射光的精细扫描,确定高光谱成像雷达每个探测通道的带宽和中心波长。根据高光谱成像激光雷达方程,在实验室定标过程中,不考虑大气对定标的影响,得到系统每一个通道的定标系数。系统定标过程中合成不确定度为0.87%,扩展不确定度(k=2)为1.73%。最后对超连续谱高重复频率激光器出射的脉冲能量进行监测,使该高光谱激光雷达在机载飞行过程中,依据探测器输出的回波信号强度信息,能够实时得到地物的反射光谱信息,进而实现高精度地形获取和地表超精细分类。
Abstract
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.

钱立勇, 吴德成, 周晓军, 钟刘军, 魏巍, 王文举, 王英检, 龚威, 刘东. 高光谱成像激光雷达系统辐射定标和地物信息获取[J]. 光学学报, 2020, 40(11): 1128001. 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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