Automatic meander extraction method

Abstract

The invention discloses an automatic meander extraction method. The method comprises the steps that (1) vector river line layer data in the interval of [start, end] are read; a meander neck element and a corresponding meander element are extracted based on the shortest weighted distance; the position of the beginning of the meander interval is determined and denoted as [neckStart, neckEnd]; (2) the middle data of the interval [neckStart, neckEnd] are removed from the data interval [start, end], and sub-interval dividing is carried out; (3) the step (1) to the step (2) are iterated until all meanders and meander neck elements thereof are extracted; and (4) parts conforming to user-specified thresholds are extracted from the meanders and meander neck elements acquired in the step (3) to generate a meander line layer and a meander neck line layer. The automatic meander extraction method provided by the invention has the advantages of high execution efficiency and high accuracy.

Description

technical field [0001] The invention relates to the application field of geographic information technology, in particular to a method for automatically extracting meanders based on vector linear river data. Background technique [0002] The study of river morphology can provide geomorphological basis for the protection of river landscape environment and the development of hydraulic resources. The geometric parameters of modern rivers are very important for the reconstruction of ancient hydrology and the evolution of rivers. Among them, the planar shape of the river meander is the main content of the river type research, and there is a close relationship with the horizontal and vertical changes that restrict each other. [0003] At present, great progress has been made in the study of free meander morphology and discriminant parameters. However, in the research on the morphology of meanders, the extraction and classification of meanders and the measurement of meander paramet...

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Problems solved by technology

However, in the research on the morphology of meanders, the degree of automation is relatively low, such as the extraction, classification and measurement of meander parameters, and manual or semi-automatic methods are still mainly used (see Zhang Bin, Ai Nanshan, Huang Zhengwen, Yi Chengbo, Qin Fachao .The shape and cause of the meander of the Jialing River in China. Science Bulletin. 2007,52(22):2671-2682)

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