Remote sensing images coastline detection based on geometric active contour models

Jianchao Fan, Jialan Chu, D. Jiang, Fanglei Liu, W. Yao
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引用次数: 4

Abstract

Monitoring coastline change is a significant task of coastal zone management and evolution research, and it is an important symbol for the study of the regional change of reclamation area. Remote sensing technology becomes an important approach of monitoring changes in the coastline by virtue of its high efficiency, wide range and low cost. Taking the Beidaihe coast as an example, the coastline extraction of SAR and Landsat TM images is extracted based on the geometrical active contour model. This method through setting the initial contour, regards the movement of contour curve as synthesize of force, and minimizes the energy function. It makes the initial contour approximate to the real object boundary. The result shows that the method can effectively extract the continuous and complete coastline from different kinds of remote sensing images.
基于几何活动轮廓模型的遥感影像海岸线检测
海岸线变化监测是海岸带管理与演变研究的重要任务,是研究填海面积区域变化的重要标志。遥感技术以其高效、范围广、成本低等优点,成为监测海岸线变化的重要手段。以北戴河海岸为例,基于几何活动等高线模型对SAR和Landsat TM影像进行海岸线提取。该方法通过设定初始轮廓,将轮廓曲线的运动视为力的综合,使能量函数最小化。它使初始轮廓近似于真实物体的边界。结果表明,该方法可以有效地从不同类型的遥感影像中提取连续完整的海岸线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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