基于无人机DEM的灌区渠系提取方法

发布时间：2018-08-03 07:52

【摘要】：大范围灌区渠系的制图对于现代节水灌溉技术以及合理配水、安全输水具有重要意义。但目前所获得的灌区遥感影像分辨率不高,渠系提取较难。本文以无人机航空摄影测量获得的数字高程模型(DEM)为基础,根据渠系特征,使用灌区坡度数据,采用改进的霍夫变换方法,实现了对灌区渠系网络的提取。与面向对象、监督分类方法和手绘结果进行对比,该方法提取的渠系连续、提取完整度可达85.61%。误差主要集中在无衬渠系中土壤沉积较多(坡度变化不明显)的位置以及相交渠系处理时保留渠堤位置而造成。该方法根据灌区地形特征,基于高精度高程数据进行渠系提取,是数字地形分析结合图像处理在精细农业中的一次有益探索。
[Abstract]:The mapping of canal system in large irrigation area is of great significance to modern water-saving irrigation technology, rational water distribution and safe water transportation. However, the resolution of remote sensing images obtained is not high, and it is difficult to extract canal system. Based on the digital elevation model (DEM) obtained from aerial photogrammetry of UAV, according to the characteristics of canal system, using slope data of irrigation area and using improved Hough transform method, this paper realizes the extraction of canal system network in irrigation area. Compared with the object-oriented supervised classification method and hand-drawn results the canal system extracted by this method is continuous and the degree of extraction integrity can reach 85.61. The errors are mainly caused by the location of more soil deposition (the slope change is not obvious) in the unlined canal system and the retention of the embankment position in the treatment of intersecting canal system. Based on the topographic features of irrigation area and high precision elevation data, this method is a useful exploration of digital terrain analysis combined with image processing in fine agriculture.
【作者单位】：西北农林科技大学信息工程学院;西北农林科技大学机械与电子工程学院;
【基金】：国家重点研发计划项目(2017YFC0403203) 国家自然科学基金项目(41771315、41301283、41371274、61402374、41301507) 欧盟地平线2020研究与创新计划项目(GA:635750) 黄土高原土壤侵蚀与旱地农业国家重点实验室开放课题项目(A314021402-1702) 陕西省自然科学基础研究计划项目(2016JM6038) 西北农林科技大学基本科研业务费专项资金项目(2452015060)
【分类号】：S127;S27

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