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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >Very high spatial resolution imagery for channel bathymetry and topography from an unmanned mapping controlled platform
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Very high spatial resolution imagery for channel bathymetry and topography from an unmanned mapping controlled platform

机译：来自无人地图控制平台的用于通道测深和地形的超高分辨率图像

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The increasing availability of aerial photography and satellite imagery offers new possibilities for characterizing river morphology. The precision of new very high resolution (VHR) images allows smaller scale objects within river corridors to be studied. High survey frequencies provide increased opportunities for the monitoring of river restoration. Following this evolution in platform technology, a small radio-controlled motorized vehicle flying at low altitude was used to study both channel water depth and gravel bar geometry. The VHR imagery provided by this equipment allowed both channel bathymetry and a high accuracy photogrammetric digital elevation model (DEM) to be realized. Using case studies from the Ain and the Drome Rivers in France, the accuracy of the results is presented and the various challenges associated with the new platform are discussed. One significant issue is that due to the low elevation of the survey the coverage of a target area is usually based on several photographs, which leads to variations in illumination conditions that stem from atmospheric changes. The images were processed to minimize this source of error but a number of issues have yet to be resolved. Bathymetric models with R-2 values between 0.59 and 0.90 were created in spite of the lack of channel bed homogeneity at the various sites. The gravel bar was also effectively mapped, and the photogrammetrically predicted DEM provided a 5-10 cm pixel resolution with a vertical precision between 2 and 40 cm according to the position within the image. This paper shows that, despite unstable image acquisition, unmanned radio-controlled platforms provide significant advantages for the study of river processes, offering a flexible very high resolution data source for both channel bathymetry and gravel bar topography. Copyright (C) 2007 John Wiley & Sons, Ltd.
机译：航空摄影和卫星图像的可用性不断提高，为表征河流形态提供了新的可能性。新的超高分辨率（VHR）图像的精度允许研究河流走廊内的较小比例的物体。高的调查频率为监测河流恢复提供了更多的机会。随着平台技术的发展，在低空飞行的小型无线电遥控机动车辆被用于研究航道水深和碎石杆的几何形状。该设备提供的VHR图像可以实现通道测深和高精度摄影测量数字高程模型（DEM）。使用来自法国Ain和Drome河流的案例研究，结果的准确性得以展示，并讨论了与新平台相关的各种挑战。一个重要的问题是，由于调查的海拔较低，目标区域的覆盖范围通常基于几张照片，这会导致照明条件因大气变化而发生变化。对图像进行了处理，以最大程度地减少此错误源，但仍有许多问题尚未解决。尽管在各个位置缺少通道床均一性，但仍创建了R-2值在0.59至0.90之间的测深模型。砾石条也得到了有效映射，并且通过摄影术预测的DEM根据图像中的位置提供了5-10 cm的像素分辨率，垂直精度在2和40 cm之间。本文表明，尽管采集的图像不稳定，但无人驾驶的无线电控制平台仍为河流研究提供了显着优势，为通道测深和砾石坝地形提供了灵活的高分辨率数据源。版权所有（C）2007 John Wiley＆Sons，Ltd.

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