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 …
PDF Cite DOI
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. …
PDF Cite DOI
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 …
PDF Cite DOI
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 …
PDF Cite DOI
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 …
PDF Cite DOI
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 …
PDF Cite DOI
A Correlation Context-Driven Method for Sea Fog Detection in Meteorological Satellite Imagery