5 citations · 7 across the 4 of their papers we have counts for
4 papers
Unsupervised Shadow Removal Using Target Consistency Generative Adversarial Network
Chao Tan, Xin Feng
Unsupervised shadow removal aims to learn a non-linear function to map the original image from shadow domain to non-shadow domain in the absence of paired shadow and non-shadow dat…
Generating the Cloud Motion Winds Field from Satellite Cloud Imagery Using Deep Learning Approach
Chao Tan
Cloud motion winds (CMW) are routinely derived by tracking features in sequential geostationary satellite infrared cloud imagery. In this paper, we explore the cloud motion winds a…
TCLNet: Learning to Locate Typhoon Center Using Deep Neural Network
Chao Tan
The task of typhoon center location plays an important role in typhoon intensity analysis and typhoon path prediction. Conventional typhoon center location algorithms mostly rely o…
FORECAST-CLSTM: A New Convolutional LSTM Network for Cloudage Nowcasting
Chao Tan, Xin Feng, Jianwu Long +1
With the highly demand of large-scale and real-time weather service for public, a refinement of short-time cloudage prediction has become an essential part of the weather forecast…