Title: The Exploitation of Sentinel-1 Images for vessel size estimation
Authors: STASOLLA MATTIAVAN WIMERSMA GREIDANUS Herman
Citation: REMOTE SENSING LETTERS vol. 7 no. 12 p. 1219-1228
Publisher: TAYLOR & FRANCIS LTD
Publication Year: 2016
JRC N°: JRC101029
ISSN: 2150-704X
URI: http://www.tandfonline.com/doi/full/10.1080/2150704X.2016.1226522
http://publications.jrc.ec.europa.eu/repository/handle/JRC101029
DOI: 10.1080/2150704X.2016.1226522
Type: Articles in periodicals and books
Abstract: 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%).
JRC Directorate:Space, Security and Migration

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