一种基于活动轮廓线模型的海岸线自动提取方法

Hongwei Zhang, Baoming Zhang, Haitao Guo, Jun Lu, Hong He
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引用次数: 13

摘要

从遥感影像中提取海岸线已成为海岛海岸遥感调查中不可缺少的一种手段,在自动导航、自动瞄准、自动成图等工作中起着非常重要的作用。图像分割和边界提取是获取海岸线位置的重要方法。活动轮廓模型已成为图像分割和边界提取的重要工具。因此,本文尝试使用活动等高线模型来提取海岸线。然而,耗时过多和自动化程度低是我们需要解决的两个方面。针对这一问题,我们采用四叉树法获得接近海岸线的初始等值线,然后进行演化计算得到准确的等值线。实验表明,该方法稳定、可靠、实用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An automatic coastline extraction method based on active contour model
Coastline extraction from remote sensing images has become an indispensable means in island coastal remote sensing survey, which plays a very important role in automatic navigation, targeting and mapping work. Image segmentation and boundary extraction are important ways to obtain the position of coastline. And active contour model has become an important tool for image segmentation and boundary extraction. So in this paper we try to use active contour model to extract coastline. However excessive timeconsumption and low degree of automation are two aspects we need to resolve. Aiming to this, we use quadtreemethod to obtain an initial contour, which is close to the coastline, and then evolve to calculate the accurate result. Experiments show that the method is stable, reliable and practical.
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