Multi-Task Retrieval of Sea Ice Based on GNSS-R: An Integrated Framework Guided by Semi-Supervised Anomaly Detection

Multi-Task Retrieval of Sea Ice Based on GNSS-R: An Integrated Framework Guided by Semi-Supervised Anomaly Detection

Sea ice plays a critical role in influencing various aspects of the atmosphere, ecology, oceans, and even human activities, making the task of sea ice retrieval (SIR) immensely important. Recent advancements have seen the application of machine learning methods based on Global Navigation Satellite S...

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Bibliographic Details
Main Authors: Dan Ma, Yuan Gao, Chunping Hou, Menglong Li, Yang Yang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Sea ice
anomaly detection
remote sensing
semi-supervised learning
Online Access:https://ieeexplore.ieee.org/document/10770821/
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