Image segmentation of complex geographical environment and wave propagation characteristics
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摘要: 复杂地理环境是电波传播不可避免的传播环境，不仅不规则地形会对电波传播产生影响，不同的地表媒质对电波传播也会产生不同的影响。为了使得电波传播特性的预测结果更加地准确有效，通过图像分割算法实现地表环境的简单分类，同时对不同的媒质赋予不同的电磁参数，并结合数字高程模型（DEM)数据，实现了既具有地形起伏信息又具有地表电磁环境参数的复杂地理环境建模。在此基础上，对地表电磁环境信息做了网格剖分处理，利用抛物方程（PE）模型对复杂地理环境下的电波传播特性进行了预测。Abstract: In complex geographical environment, the irregular terrain influences wave propagation, and different media make different influences on the wave propagation. In order to make the prediction of wave propagation characteristics more accurate and more effective, this paper uses the image segmentation algorithm to realize the classification of the surface media, sets different electromagnetic parameters for different medium and combines with the Digital Elevation Model(DEM) data to build the geographical model that has the terrain fluctuation information and the surface electromagnetic parameters. On this basis, this paper does the grid subdivision to the surface electromagnetic information and uses the parabolic equation(PE) model to predict the wave propagation characteristics in the complex geographical environment.
期刊类型引用(2)
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百度学术2. 龙诺亚，王飞，郑元伟. 超300km级别光纤传输技术在电力通信中的研究与应用. 电力大数据. 2022(01): 67-74 . 百度学术其他类型引用(0)
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