The Exploitation of Sentinel-1 Images for vessel size estimation
In this paper, a novel technique for automatic vessel size estimation in high-resolution SAR images is presented. Based on mathematical morphology, it aims at better delineating the vessel outline and thereby enabling the extraction of its actual dimensions. The technique has been tested on a set of five Sentinel-1 images at 20m resolution that have good quality ground truth available. It is found that the proposed algorithm produces very good length estimates (14% relative error) and reasonable width estimates (35%).
STASOLLA Mattia;
VAN WIMERSMA GREIDANUS Herman;
2016-09-21
TAYLOR & FRANCIS LTD
JRC101029
2150-704X,
http://www.tandfonline.com/doi/full/10.1080/2150704X.2016.1226522,
https://publications.jrc.ec.europa.eu/repository/handle/JRC101029,
10.1080/2150704X.2016.1226522,
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