Conference Paper (published)
Details
Citation
Marino A, Nunziata F & Vilas LG (2021) Detecting aquaculture platforms using COSMO SkyMed. In: 13th European Conference on Synthetic Aperture Radar, EUSAR 2021, volume 2021. Allgemeine Proceedings. EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar, Virtual, 29.03.2021-01.04.2021. Berlin: VDE, pp. 1173-1177. https://www.vde-verlag.de/buecher/455457/eusar-2021.html
Abstract
Aquaculture are a very valuable asset for many coastal countries and in the future they will play an important role in food security. Satellite remote sensing can improve the temporal and geo-spatial analysis of such marine facilities. Detecting platforms used for fish and shellfish farming provides a way to monitor assets and check they do not get damaged by storms. It also allows to identify illegal placement of structures in areas which should not host farms. In this work, we want to evaluate the use of COMSO SkyMed polarimetric acquisitions. In particular, we want to use a novel methodology called intensity Dual-Pol Ratio Anomaly Detector (iDPolRAD). Extensive work has been carried out on detecting ships using space-borne Synthetic Aperture Radar (SAR) systems. However, the identification of smaller and non-metallic targets is still challenging especially when the sea conditions are rough. This work presents an assessment of different detectors and polarimetric information for the detection of wooden mussels platforms. The results show that the use of dual polarimetric information can improve the detection performance. ? VDE VERLAG GMBH Berlin Offenbach
Keywords
Aquaculture; Food supply; Polarimeters; Remote sensing; Space-based radar, Detection performance; Fish and shellfishes; Geo-spatial analysis; Marine facilities; Non-metallic targets; Novel methodology; Polarimetric informations; Satellite remote sensing, Synthetic aperture radar
Status | Published |
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Funders | |
Title of series | Allgemeine Proceedings |
Publication date | 31/12/2021 |
Publication date online | 02/07/2021 |
URL | |
Publisher | VDE |
Publisher URL | |
Place of publication | Berlin |
ISSN of series | 2197-4403 |
ISBN | 978-380075457-1 |
Conference | EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar |
Conference location | Virtual |
Dates | – |
People (1)
Associate Professor, Biological and Environmental Sciences