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Detection of Small Portions of Water in VIS-NIR Images Acquired by UAVs

机译:通过UAV获取的Vis-NIR图像中的小部分水的检测

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Water bodies detection in aerial images is a problem widely known and explored in the literature. However, the detection of small portions of water in satellite images is not usual due to their low spatial resolution. With the increasing use of Unmanned Aerial Vehicle (UAVs), this task becomes feasible from the point of view of spatial resolution, but suffers from the problem of low spectral resolution of the acquired images. In this sense, we have new challenges in dealing with an old problem. In this work we proposed an approach that combines Visible (VIS) and Near Infrared (NIR) aerial images, commonly acquired by sensors used in UAVs, for providing an indicative index for detecting small portions of water. This approach also includes a scheme to reconstitute visible spectral bands contaminated by the use of a special lens, coupled to visible RGB camera, to provide NIR spectral band. Experimental results evidenced the good accuracy of proposed approach in mapping small portions of water such as pools and fountains in VIS-NIR images, even in the cases where there is only a thin layer of water.
机译:在空中图像中的水体检测是在文献中广为人知和探索的问题。然而,由于它们的低空间分辨率,卫星图像中的小部分水的检测是通常的。随着无人驾驶飞行器(UAV)使用的越来越多,从空间分辨率的角度来看,该任务变得可行,但是遭受所获取的图像的低光谱分辨率的问题。从这个意义上讲,我们在处理旧问题方面有新的挑战。在这项工作中,我们提出了一种方法,该方法将可见(VI)和近红外(NIR)天线图像相结合,通常由无人机中使用的传感器获取,用于提供用于检测小部分水的指示性指标。该方法还包括重构通过使用特殊镜头的可见光谱带,耦合到可见RGB照相机,以提供NIR光谱带。实验结果证明了所提出的方法在绘制池和喷泉中绘制池和喷泉中的良好准确性,即使在仅存在薄的水层的情况下也是如此。

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