GSCAT-UNET: Enhanced U-Net model with spatial-channel attention gate and three-level attention for oil spill detection using SAR data.

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第一作者： Kinjal,Prajapati

第一单位： Nirma University, Ahmedabad, Gujarat, India.

作者： Kinjal,Prajapati ^[1] ; Madhuri,Bhavsar ^[2] ; Alka,Mahajan ^[3]

作者单位： Nirma University, Ahmedabad, Gujarat, India. ^[1] Nirma University, Ahmedabad, Gujarat, India. Electronic address: madhuri.bhavsar@nirmauni.ac.in. ^[2] JK Laxmipat University, Jaipur, Rajasthan, India. ^[3]

关键词 Deep-learning Dual-pol G-SCAT Global feature Oil spill SAR Spatial-channel attention UNET

主题词环境监测(Environmental Monitoring);模型, 理论(Models, Theoretical);遥感技术(Remote Sensing Technology);水污染物, 化学性(Water Pollutants, Chemical)

DOI 10.1016/j.marpolbul.2025.117583

PMID 39862681

发布时间 2025-03-04

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Marine pollution bulletin

2025年212卷

117583页

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GSCAT-UNET: Enhanced U-Net model with spatial-channel attention gate and three-level attention for oil spill detection using SAR data.

Marine pollution bulletin

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GSCAT-UNET: Enhanced U-Net model with spatial-channel attention gate and three-level attention for oil spill detection using SAR data.

Marine pollution bulletin

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Marine pollution bulletin

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