MoANet: A Motion Attention Network for Sea Fog Detection in Time Series Meteorological Satellite Imagery

MoANet: A Motion Attention Network for Sea Fog Detection in Time Series Meteorological Satellite Imagery

Sea fog detection is a significant and challenging issue in meteorological satellite imagery. Distinguishing between sea fog and low clouds is challenging due to the similar morphology and brightness characteristics of these two phenomena on the imageries. Most of the existing deep learning methods...

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Bibliographic Details
Main Authors: Ziheng Yang, Ming Wu, Mengqiu Xu, Xun Zhu, Chuang Zhang, Bin Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention map
image segmentation
motion features
optical flow
sea fog detection
Online Access:https://ieeexplore.ieee.org/document/10349931/

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