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Your search keyword '"j-net dynamic"' showing total 3 results
Start Over Descriptor "j-net dynamic" Topic shoreline extraction
3 results on '"j-net dynamic"'

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

Author

Sara Zollini, Maria Alicandro, María Cuevas-González, Valerio Baiocchi, Donatella Dominici, and Paolo Massimo Buscema

Subjects
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, Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581
Abstract

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.

Published
2019
Full Text
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2. Shoreline Extraction Based on an Active ConnectionMatrix (ACM) Image Enhancement Strategy

Author

Zollini, Sara, Alicandro, Maria, Cuevas-González, María, Baiocchi, Valerio, Dominici, Donatella, and Buscema, Paolo Massimo

Subjects
edge detection, remote sensing, WorldView-2, J-Net Dynamic, Sentinel-1, shoreline extraction, coastline extraction, synthetic aperture radar (SAR), canny edge detector, satellite images, active connection matrix (ACM)
Abstract

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

Published
2020

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

Author

Zollini, Sara, Alicandro, Maria, Cuevas-González, María, Baiocchi, Valerio, Dominici, Donatella, and Buscema, Paolo Massimo

Subjects
SCIENTIFIC communication, IMAGE intensifiers, SHORELINES, SYNTHETIC aperture radar, MULTISPECTRAL imaging, HIGH resolution imaging
Abstract

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. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

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