Shoreline Extraction Based on an Active Connection Matrix (ACM) Image Enhancement Strategy

Journal of Marine Science and Engineering

María Cuevas-González¹  Valerio Baiocchi²  Donatella Dominici³  Sara Zollini³  Maria Alicandro³  PaoloMassimo Buscema⁴ 

[1] Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Division of Geomatics, Av. Gauss 7, E-08860 Castelldefels, Barcelona, Spain;DICEA, Sapienza University of Rome, via Eudossiana, 18, 00184 Roma, Italy;DICEAA, Department of Civil, Environmental Engineering and Architecture, Via Gronchi 18, 67100 L’Aquila, Italy;Semeion Research Center of Sciences of Communication, Via Sersale 117, 00128 Rome, Italy;

关键词: remote sensing;    satellite images;    synthetic aperture radar (sar);    sentinel-1;    worldview-2;    shoreline extraction;    coastline extraction;    active connection matrix (acm);    j-net dynamic;    edge detection;    canny edge detector;   

DOI  :  10.3390/jmse8010009

来源: DOAJ

【 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.

【 授权许可】

Unknown