Offshore Petroleum Leaking Source Detection Method From Remote Sensing Data via Deep Reinforcement Learning With Knowledge Transfer
نویسندگان
چکیده
A marine oil spill is an environmental pollution incident that generally has the attributes of a high speed, widespread, and long duration. It seriously threatens ecological environment related industries. vital to determine source leakage so it may be stopped hazards can reduced. Oil accidents in sea are located offshore navigation channels. With rapid development remote-sensing techniques, leak extraction using data played essential role research. This paper proposes Monte Carlo-based Deep Q-Transfer-learning Network (DQTN) detection method uses data. Remote-sensing utilized continuously monitor on surface. The Estuarine Coastal Ocean Model (ECOM) simulate event. Q (DQN) with offline transferred knowledge then location. In experiment, based Bohai June 2, 2011, effectiveness remote-sensing-based DQTN search algorithm verified. accuracy targeted point up $98.97\%$.
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ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
سال: 2022
ISSN: ['2151-1535', '1939-1404']
DOI: https://doi.org/10.1109/jstars.2022.3191122