提出了一种无验潮水下地形测量方法,利用长江江苏段沿岸的控制点资料,基于分段二次曲面与BP神经网络拟合算法建立似大地水准面精化模型;利用该模型换算测深点高程数据文件,并输出数据成图。经多方面精度测试比对,此方法能够获得高精度的水底点高程。
Taking the Jiangsu section of the Yangtze River as an example, this paper presents a non-tide sounding survey technique. Using the data of the Jiangsu section of the Yangtze River coast, the quasi geoid model is established based on the combination of conicoid fitting and BP neural network; the model is used to convert sounding point elevation data files, and outputs the data mapping. The method can get high precision underwater point elevation.