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A GROUND REFERENCE TARGET DETECTION METHOD FOR AUTOMATIC VICARIOUS CALIBRATION OF UAV MULTISPECTRAL IMAGE

机译:无人机多光谱图像自动标定的地面参考目标检测方法

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Recently, demands of unmanned aerial vehicle (UAV) image has increased in various fields, and sensor technology are rapidly developing. Radiometric correction is needed to transform from pixel's digital number (DN) to spectral reflectance when using spectral information in an application. To obtain spectral reflectance, some sensors for UAVs measure a reference target before taking-off, and measure the irradiance during image acquisition. For sensors without the irradiance, spectral reflectance can be obtained by vicarious radiometric calibration with scenes including ground reference target. Currently, for vicarious calibration, the commercial software is designed to manually specify the area of the ground reference target in the scene. In this study, we propose an automatic method to detect a ground reference target in a scene for vicarious calibration of multispectral UAV image without radiometric calibration parameters. All of reference targets were detected in the experiment condition. Further study is needed to decrease false alarm with similar spectral and morphological characteristics.
机译:近来,在各个领域对无人机(UAV)图像的需求已经增加,并且传感器技术正在迅速发展。在应用程序中使用光谱信息时,需要进行辐射校正才能从像素的数字(DN)转换为光谱反射率。为了获得光谱反射率,一些无人机的传感器在起飞前测量参考目标,并在图像采集过程中测量辐照度。对于没有辐照度的传感器,可以通过对包括地面参考目标的场景进行替代性辐射校准来获得光谱反射率。当前,为了进行替代校准,商业软件被设计为手动指定场景中地面参考目标的区域。在这项研究中,我们提出了一种自动检测场景中地面参考目标的方法,无需辐射校准参数即可进行多光谱无人机图像的替代校准。在实验条件下检测到所有参考目标。需要进一步研究以减少具有相似光谱和形态特征的虚假警报。

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