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Assessment Of The Radiometric Accuracy In A Target Less Work Flow Using Pix4D Software

机译:使用PIX4D软件评估目标较少工作流程中的辐射精度

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To compute reflectance from images taken by multispectral sensors aboard UAVs, most users perform radiometric calibration using a target with known reflectance. This workflow is error-prone and not practical for large data acquisitions. With recent advances in multispectral cameras, sensors which measure the sky down-welling irradiance have become available. This enables radiometric calibration without using a target. In this paper, we assess the radiometric accuracy of target less acquisition using a Sequoia + camera1 for both at-ground and in-flight measurements. Most of the measured control points exhibit a high correlation of 0.98 in the computed reflectance factor with respect to the expected values.1https://www.parrot.com/business-solutions-us/parrotprofessional/parrot-sequoia
机译:从UAV的多光谱传感器拍摄的图像中计算反射率,大多数用户使用具有已知反射率的目标进行辐射验证。对于大数据采集,此工作流程易于出错。随着MultiSpectral相机的最新进展,测量天空静电辐照度的传感器已经可用。这使得可以在不使用目标的情况下实现辐射验证。在本文中,我们使用SemoIa +相机评估目标较少采集的辐射精度 1 适用于地面和飞行中的测量。大多数测量控制点在相对于预期值的计算反射率因子中表现出0.98的高相关。 1 https://www.parrot.com/business-solutions-us/parrotprofessional/parrot- equoia.

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