Unsupervised Shadow Removal Using Target Consistency Generative Adversarial Network

1 code implementation • 3 Oct 2020 • 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 data.

Generative Adversarial Network Shadow Removal

Generating the Cloud Motion Winds Field from Satellite Cloud Imagery Using Deep Learning Approach

1 code implementation • 3 Oct 2020 • Chao Tan

In this paper, we explore the cloud motion winds algorithm based on data-driven deep learning approach, and different from conventional hand-craft feature tracking and correlation matching algorithms, we use deep learning model to automatically learn the motion feature representations and directly output the field of cloud motion winds.

TCLNet: Learning to Locate Typhoon Center Using Deep Neural Network

1 code implementation • 3 Oct 2020 • Chao Tan

The task of typhoon center location plays an important role in typhoon intensity analysis and typhoon path prediction.

FORECAST-CLSTM: A New Convolutional LSTM Network for Cloudage Nowcasting

1 code implementation • 19 May 2019 • Chao Tan, Xin Feng, Jianwu Long, Li Geng

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 productions.