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Wenhao Xu

Publications

Citations

Publications by Year

20232024

Co-Authors:

Jiguang DaiQingdong GongNannan ShiTengda ZhangZiteng Zhang

Wenhao Xu

Affiliation

School of Geomatics

Liaoning Technical University

Fuxin, China

Publication Topics

Channel Dimension,
Cloud Removal,
Cloud Removal Network,
Cloud-free Images,
Color Loss,
Conditional Variational Autoencoder,
Convergence Rate,
Convolutional Neural Network,
Convolutional Structure,
Deep Learning,
Electrical Load,
Ensemble Kalman Filter

Biography

Wenhao Xu was born in 1998. He is currently pursuing the master’s degree with Liaoning Technical University, Fuxin, China.,His research interests include computer vision and deep learning in remote sensing applications.(Based on document published on 20 September 2024).

Publications

Citations

Publications by Year

20232024

Co-Authors:

Jiguang Dai
Qingdong Gong
Nannan Shi
Tengda Zhang
Ziteng Zhang

Author's Published Works

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Wenhao Xu(2)
Qingdong Gong(1)
Ziteng Zhang(1)
Nannan Shi(1)
Tengda Zhang(1)
Monash University, Clayton, Melbourne VIC, Australia(1)
University of Bristol, Bristol, United Kingdom(1)
Inner Mongolia University of Science & Technology, Inner Mongolia, China(1)
School of Geomatics, Liaoning Technical University, Fuxin, China(1)
2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)(1)
IEEE Transactions on Geoscience and Remote Sensing(1)
IEEE(2)
Changchun, China(1)
Channel Dimension(1)
Cloud Removal(1)
Cloud Removal Network(1)
Cloud-free Images(1)
Color Loss(1)

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TCME: Thin Cloud Removal Network for Optical Remote Sensing Images Based on Multidimensional Features Enhancement

Jiguang Dai;Nannan Shi;Tengda Zhang;Wenhao Xu

IEEE Transactions on Geoscience and Remote Sensing

Year: 2024 | Volume: 62 | Journal Article |

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Existing thin cloud removal methods mainly rely on generative paradigms and discriminative paradigms. The generative paradigm has issues with training instability, while the convolutional neural network (CNN) structure in the discriminative paradigm can only focus on local features, neglecting global ones. This article proposes a thin cloud removal network for optical remote sensing images based o...Show More

TCME: Thin Cloud Removal Network for Optical Remote Sensing Images Based on Multidimensional Features Enhancement

Jiguang Dai;Nannan Shi;Tengda Zhang;Wenhao Xu

IEEE Transactions on Geoscience and Remote Sensing

Year: 2024 | Volume: 62 | Journal Article |

Short-term Power Load Forecasting Based on Particle Swarm Optimization Long Short-term Memory Neural Network

Ziteng Zhang;Wenhao Xu;Qingdong Gong

2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)

Year: 2023 | Conference Paper |

Cited by: Papers (4)

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Accurate power load prediction at different periods can provide an essential basis for energy consumption reduction and power scheduling. Particle swarm optimization (PSO) and long short-term memory (LSTM) neural networks were introduced into the forecasting method of electric power load. First, aiming at the problem that it is difficult to select the LSTM hyper-parameters, hyper-parameters includ...Show More

Short-term Power Load Forecasting Based on Particle Swarm Optimization Long Short-term Memory Neural Network

Ziteng Zhang;Wenhao Xu;Qingdong Gong

2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)

Year: 2023 | Conference Paper |

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