【摘要】 海底地貌复杂度表示了海底地貌不同类型的起伏与变化,是人类海洋认知、航海安全、海洋测绘等需要考虑的重要因素。面对网格化的数字深度模型,按照信息熵与坡度相结合的思路,提出了一个新的由信息熵度量的海底地貌复杂度的表示和计算模型。采用三阶有限差分法计算坡度参数,依据给出的坡度分类模型,得到不同坡度类别出现的概率,进而计算出海底地貌复杂度指数。使用渤海湾周围和美国西海岸数字高程模型数据样区作为实验对象,计算海底地貌复杂度指数,并将其与原始数据进行对比,结果表明本方法对地貌复杂的表示准确。更多还原

【Abstract】 Being the representation for the different types of ups and downs of submarine landforms, the submarine landform complexity is an important factor to consider in human marine cognition, maritime safety, and marine mapping. In the face of grid-based digital depth model, a new representation and calculation model of submarine landform complexity is proposed based on the theory of information entropy and slope. Based on the given slope classification model, the probability of occurrence of different slope categories is obtained, where the slope parameters are calculated by introducing the third-order finite difference method, and the submarine landform complexity index is calculated. Experiments are done on the data around the Bohai Bay and the US West Coast Digital Elevation Model, then the original data and its corresponding landform complexity index are compared. The result shows that the method presented is accurate to represent the complex degree of the geomorphology.更多还原