Deep learning

Attention based Long Short-Term Memory Network for Coastal Visibility Forecast
Visibility prediction in coastal areas has always been an important issue affecting the safety of residents and the efficiency of urban …
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Identify, Guess and Reconstruct- Three Principles for Cloud Removal Task
Remote sensing images serve a significant role in earth observation to tackle climate change and post-disaster reconstruction concerns. …
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Identify, Guess and Reconstruct- Three Principles for Cloud Removal Task
The Eyes of the Gods: A Survey of Unsupervised Domain Adaptation Methods Based on Remote Sensing Data
With the rapid development of the remote sensing monitoring and computer vision technology, the deep learning method has made a great …
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Domain Adaptation on Multiple Cloud Recognition From Different Types of Meteorological Satellite
Meteorological satellites have become an indispensable meteorological tool for earth observation, as aiding in areas such as cloud …
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Domain Adaptation on Multiple Cloud Recognition From Different Types of Meteorological Satellite
Sea fog detection based on unsupervised domain adaptation
Sea fog detection with remote sensing images is a challenging task. Driven by the different image characteristics between fog and other …
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Sea fog detection based on unsupervised domain adaptation
A Correlation Context-Driven Method for Sea Fog Detection in Meteorological Satellite Imagery
Sea fog detection is a challenging and essential issue in satellite remote sensing. Although conventional threshold methods and deep …
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A Correlation Context-Driven Method for Sea Fog Detection in Meteorological Satellite Imagery