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首页> 外文期刊>Journal of Applied Remote Sensing >Vicarious calibration correction of large FOV sensor using BRDF model based on UAV angular spectrum measurements
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Vicarious calibration correction of large FOV sensor using BRDF model based on UAV angular spectrum measurements

机译：基于UAV角谱测量的BRDF模型的大FOV传感器的替代校准校正

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摘要

When a satellite sensor with a large field of view and wide swath is calibrated, it is not easy to obtain the image when the calibration site is located precisely at the nadir position. If the location of a calibration site is at an off-nadir position in the image, calibration errors will be caused by the inconsistent observation angle between the sensor view and the ground measurement view. The bidirectional reflectance distribution function (BRDF) model plays an important role in solving this problem. In this study, a BRDF measurement system based on an unmanned aerial vehicle (UAV) is developed. This system has the capability of measuring angular data with observation azimuth angle ranging from 0 deg to 360 deg with an angle interval of 30 deg, and observation zenith angle ranging from 0 deg to 50 deg with an angle interval of 10 deg. The directional data of the Dunhuang calibration site were measured using the UAV BRDF measuring system at different solar zenith and azimuth angles, and the spatiotemporal distribution characteristic of forward- and backward-scattering of Dunhuang calibration site was analyzed. A Ross-Li BRDF model, built using measurement data, is used to calculate the directional surface reflectance under any observation geometry of solar and satellite. These calculations are applied to correct the calibration data of the CBERS-04 WFI sensor. Results show that the BRDF model significantly improves the calibration accuracy, especially in the case of large observation angles. (C) The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License.
机译：当校准具有大视野和宽带宽的卫星传感器时，当校准部位精确地位于Nadir位置时，不容易获得图像。如果校准站点的位置处于图像中的离子位置，则传感器视图和地面测量视图之间的不一致观察角度将引起校准误差。双向反射率分布函数（BRDF）模型在解决这个问题方面发挥着重要作用。在本研究中，开发了基于无人驾驶飞行器（UAV）的BRDF测量系统。该系统具有测量角度数据的能力，观察方位角范围为0°至360°，其角度间隔为30°，并且观察天顶角从0°的角度间隔为10°。使用不同太阳能天顶和方位角的UAV BRDF测量系统测量了敦煌校准部位的方向数据，分析了敦煌校准部位的前向和后散散射的时空分布特性。使用测量数据建造的Ross-Li BRDF模型用于计算太阳能和卫星的任何观察几何形状下的定向表面反射率。应用这些计算以校正CBERS-04 WFI传感器的校准数据。结果表明，BRDF模型显着提高了校准精度，特别是在大观察角度的情况下。 （c）作者。由SPIE出版，根据创意公约归因于4.0未受平许可。

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