基于数字水深模型的水深浅点快速提取

Rapid Extraction of Shallow Sounding Features Based on Digital Depth Model

针对目前手工作业选取水深浅点效率低、易发生遗漏等不足,本文以数字水深模型为基础对其进行地貌翻转,将水深浅点转化为洼点,利用水文流域模拟原理计算出相应区域的汇流累积量,结合邻域窗口最大值扫描获得汇水量极大值点,从而实现了水深浅点的快速、自动提取。汇流累积量夸大了局部地形变化,可更有效地提取潜在水深浅点,确保舰船安全。

Aimed at resolving deficiency in selecting shallow sounding features by manual operations, such as low efficiency and easy omission. This paper turns over digital depth model based on specific datum, which transforms shallow sounding features to hollow points. By using the theory of hydrology and watershed simulation to calculate the flow accumulation, combined with a maximum neighborhood window scanning for maximal value points of flow accumulation, this method realizes the rapid, automated extraction of the shallow sounding features. Flow accumulation exaggerates the change of local terrain, so as to extract shallow sounding features more effectively, ensuring the safety of ship navigation.