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Automatic Coastline Extraction Using Edge Detection and Optimization Procedures

机译:自动海岸线提取使用边缘检测和优化程序

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摘要

Coastal areas are quite fragile landscapes as they are among the most vulnerable to climate change and natural hazards. Coastline mapping and change detection are essential for safe navigation, resource management, environmental protection, and sustainable coastal development and planning. In this paper, we proposed a new methodology for the automatic extraction of coastline, using aerial images. This method is based on edge detection and active contours (snake method). Initially the noise of the image is reduced which is followed by an image segmentation. The output images are further processed to remove all small spatial objects and to concentrate on the spatial objects of interests. Then, the morphological operators are applied. We used aerial images taken from an aircraft and high-resolution satellite images from a coastal area in Crete, Greece, and we compared the results with geodetic measurements, to validate the methodology.
机译:沿海地区是非常脆弱的景观,因为它们是最容易受气候变化和自然灾害的群体之一。海岸线测绘和变更检测对于安全导航,资源管理,环保和可持续沿海开发和规划至关重要。在本文中,我们提出了一种新的方法,用于使用空中图像自动提取海岸线。该方法基于边缘检测和活动轮廓(蛇法)。最初,图像的噪声减小,后跟图像分割。进一步处理输出图像以移除所有小空间对象并专注于空间的感兴趣对象。然后,应用形态运算符。我们使用了从克里特岛,希腊的沿海地区的飞机和高分辨率卫星图像拍摄的空中图像,并将结果与​​大地测量结果进行了比较,以验证方法。

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