Zhenhua Mu

According to our database, Zhenhua Mu authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

FCAE-AD: Full Convolutional Autoencoder Based on Attention Gate for Hyperspectral Anomaly Detection.

Xiang-Hai Wang, Yihan Wang, Zhenhua Mu, Ming Wang

Remote. Sens., September, 2023

Log-Gabor directional region entropy adaptive guided filtering for multispectral pansharpening.

Xianghai Wang, Zhenhua Mu, Shifu Bai, Ming Wang, Ruoxi Song, Jingzhe Tao, Chuanming Song

Appl. Intell., April, 2023

SI2FM: SID Isolation Double Forest Model for Hyperspectral Anomaly Detection.

Zhenhua Mu, Ming Wang, Yihan Wang, Ruoxi Song, Xianghai Wang

Remote. Sens., February, 2023

2022

BS2T: Bottleneck Spatial-Spectral Transformer for Hyperspectral Image Classification.

Ruoxi Song, Yining Feng, Wei Cheng, Zhenhua Mu, Xiang-Hai Wang

IEEE Trans. Geosci. Remote. Sens., 2022

MS-Pansharpening Algorithm Based on Dual Constraint Guided Filtering.

Xiang-Hai Wang, Zhenhua Mu, Shifu Bai, Yining Feng, Ruoxi Song

Remote. Sens., 2022

Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data.

XiangHai Wang, Yining Feng, Ruoxi Song, Zhenhua Mu, Chuanming Song

Inf. Fusion, 2022

Hyperspectral image change detection based on active convolutional neural network and spatial-spectral affinity graph learning.

Ruoxi Song, Yining Feng, Chengdi Xing, Zhenhua Mu, XiangHai Wang

Appl. Soft Comput., 2022

2021

A Novel Hyperspectral Image Change Detection Framework Based on 3D-Wavelet Domain Active Convolutional Neural Network.

XiangHai Wang, Chengdi Xing, Yining Feng, Ruoxi Song, Zhenhua Mu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

A Hyperspectral Image NSST-HMF Model and Its Application in HS-Pansharpening.

XiangHai Wang, Zhenhua Mu, Ruoxi Song, Jingzhe Tao, Chuanming Song

IEEE Trans. Geosci. Remote. Sens., 2020

An image NSCT-HMT model based on copula entropy multivariate Gaussian scale mixtures.

XiangHai Wang, Ruoxi Song, Zhenhua Mu, Chuanming Song

Knowl. Based Syst., 2020