Estimating tropical cyclone intensity using dynamic balance convolutional neural network from satellite imagery-Reference-Cited by-同舟云学术

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Estimating tropical cyclone intensity using dynamic balance convolutional neural network from satellite imagery

Published:2023-05-22 Issue:02 Volume:17 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Tian Wei¹,Lai Linhong¹,Niu Xianghua²,Zhou Xinxin¹,Zhang Yonghong³,Lim Kam Sian Kenny Thiam Choy⁴

Affiliation:

1. Nanjing University of Information Science and Technology, School of Computer and Software, Nanjing, China

2. State Key Laboratory of Geo-Information Engineering, Xi’an, China

3. Nanjing University of Information Science and Technology, School of Automation, Nanjing, China

4. Wuxi University, Wuxi, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparative Analysis of Machine Learning Models for Tropical Cyclone Intensity Estimation;Remote Sensing;2024-08-26

2. MT-GN: Multi-Task-Learning-Based Graph Residual Network for Tropical Cyclone Intensity Estimation;Remote Sensing;2024-01-05

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