A few-shot oil spill segmentation network guided by multi-scale feature similarity modeling

A few-shot oil spill segmentation network guided by multi-scale feature similarity modeling

Segmentation of oil spills with few-shot samples using UAV optical and SAR images is crucial for enhancing the efficiency of oil spill monitoring. Current oil spill semantic segmentation predominantly relies on SAR images, rendering it relatively data-dependent. We propose a flexible and scalable fe...

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Bibliographic Details
Main Authors:	Lingfei Shi, Xianhu Wei, Kun Yang, Gong Chen
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-12-01
Series:	Frontiers in Marine Science
Subjects:	oil spill UAV deep learning few-shot segmentation
Online Access:	https://www.frontiersin.org/articles/10.3389/fmars.2024.1481028/full
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