A Deep-Learning-Based Fusion Approach for Global Cyclone Detection Using Multiple Remote Sensing Data
Author:
Affiliation:
1. Navigation College, Dalian Maritime University, Dalian, China
Funder
China National Key R&D Program
Liaoning Revitalization Talents Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09940529.pdf?arnumber=9940529
Reference49 articles.
1. You Only Look Once: Unified, Real-Time Object Detection
2. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
3. Automated cyclone tracking using multiple remote satellite data via knowledge transfer
4. Automated Cyclone Identification From Remote QuikSCAT Satellite Data
5. Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System
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