文章基本信息

标题：Shoreline Extraction Based on an Active Connection Matrix (ACM) Image Enhancement Strategy
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作者：Sara Zollini ; Maria Alicandro ; María Cuevas-González 等
期刊名称：Journal of Marine Science and Engineering
电子版ISSN：2077-1312
出版年度：2019
卷号：8
期号：1
页码：9
DOI：10.3390/jmse8010009
语种：English
出版社：MDPI AG
摘要：Coastal environments are facing constant changes over time due to their dynamic nature and geological, geomorphological, hydrodynamic, biological, climatic and anthropogenic factors. For these reasons, the monitoring of these areas is crucial for the safeguarding of the cultural heritage and the populations living there. The focus of this paper is shoreline extraction by means of an experimental algorithm, called J-Net Dynamic (Semeion Research Center of Sciences of Communication, Rome, Italy). It was tested on two types of image: a very high resolution (VHR) multispectral image (WorldView-2) and a high resolution (HR) radar synthetic aperture radar (SAR) image (Sentinel-1). The extracted shorelines were compared with those manually digitized for both images independently. The results obtained with the J-Net Dynamic algorithm were also compared with common algorithms, widely used in the literature, including the WorldView water index and the Canny edge detector. The results show that the experimental algorithm is more effective than the others, as it improves shoreline extraction accuracy both in the optical and SAR images.