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基于图像处理的河流数值模拟地形前处理

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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.
Terrain Pretreatment for River Numerical Simulation Based on Image Processing
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.

image matchingedge detectionterrain pretreatmentGoogle Earthnumerical simulationriver simulation

黄凌霄、李春光、郑兰香

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宁夏大学土木与水利工程学院,宁夏银川750021

宁夏大学数学与计算机学院,宁夏银川750021

北方民族大学土木工程学院,宁夏银川750021

宁夏大学资源环境学院,宁夏银川750021

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图像拼接 边缘检测 地形前处理 GoogleEarth 数值模拟 河流模拟

国家自然科学基金重大研究计划培育项目国家自然科学青年基金宁夏大学科学研究基金

9123011141301533ZR1242

2015

人民黄河
水利部黄河水利委员会

人民黄河

CSTPCD北大核心
影响因子:0.494
ISSN:1000-1379
年,卷(期):2015.37(12)
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