摘要
为提高河流数值模拟过程中的地形处理效率,以黄河大柳树河段为研究对象,通过图像拼接算法得到准确的宽视野河道图像,用数学形态学方法准确检测出河道图像的水岸边缘,将图像导入AutoCAD绘图软件中,绘制出天然河道的轮廓线并保存为*.dxf文件,然后转化为*.kml文件并加载到Google Earth软件中,实现了河流数值模拟地形的实时浏览与演示。研究结果表明,利用图像处理进行河流数值模拟地形的初步处理,可以显著提高河流数值模拟过程中地形处理的效率和精度。
In order to improve terrain processing efficiency in the process of river numerical simulation, this paper took the part of Daliushu section of the Yellow River as the research object, used the image matching algorithm to get the accurate wide field channel image, used the mathematical morphology method to test the precise waterfront edge of channel image, imported the image into the AutoCAD graphics software, drew the outline of the natural channel and saves as*.dxf file, converted to*.kml file and loaded it into Google Earth , achieved real-time browse and demonstration of the river numerical simulation terrain.Experiment results show that terrain pretreatment for river numerical simulation based on image processing can improve terrain processing efficiency and precision in the process of river numerical simulation.
出处
《人民黄河》
CAS
北大核心
2015年第12期41-45,共5页
Yellow River
基金
国家自然科学基金重大研究计划培育项目(91230111)
国家自然科学青年基金资助项目(41301533)
宁夏大学科学研究基金资助项目(ZR1242)
