Miaomiao Liang

According to our database, Miaomiao Liang authored at least 22 papers between 2017 and 2024.

Collaborative distances:

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

2024

Lightweight Pixel2mesh for 3-D Target Reconstruction From a Single SAR Image.

Lingjuan Yu, Jianping Zou, Miaomiao Liang, Liang Li, Xiaochun Xie, Xiangchun Yu, Wen Hong

IEEE Geosci. Remote. Sens. Lett., 2024

ConVaT: A Variational Generative Transformer With Momentum Contrastive Learning for Hyperspectral Image Classification.

Miaomiao Liang, Zuo Liu, Jian Dong, Lingjuan Yu, Xiangchun Yu, Jun Li, Licheng Jiao

IEEE Geosci. Remote. Sens. Lett., 2024

2023

Complex-Valued U-Net with Capsule Embedded for Semantic Segmentation of PolSAR Image.

Lingjuan Yu, Qiqi Shao, Yuting Guo, Xiaochun Xie, Miaomiao Liang, Wen Hong

Remote. Sens., March, 2023

Self-Supervised Learning With Learnable Sparse Contrastive Sampling for Hyperspectral Image Classification.

Miaomiao Liang, Jian Dong, Lingjuan Yu, Xiangchun Yu, Zhe Meng, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2023

Hyperspectral Image Classification with Dynamic Spatial-Spectral Attention Network.

Zhe Meng, Qian Yan, Feng Zhao, Miaomiao Liang

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Multi-Scale Feature Attention and Transformer for Hyperspectral Image Classification.

Zhe Meng, Qian Yan, Feng Zhao, Miaomiao Liang

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

2022

Lightweight Multilevel Feature Fusion Network for Hyperspectral Image Classification.

Miaomiao Liang, Huai Wang, Xiangchun Yu, Zhe Meng, Jianbing Yi, Licheng Jiao

Remote. Sens., 2022

A Dual Multi-Head Contextual Attention Network for Hyperspectral Image Classification.

Miaomiao Liang, Qinghua He, Xiangchun Yu, Huai Wang, Zhe Meng, Licheng Jiao

Remote. Sens., 2022

A transfer learning-based novel fusion convolutional neural network for breast cancer histology classification.

Xiangchun Yu, Hechang Chen, Miaomiao Liang, Qing Xu, Lifang He

Multim. Tools Appl., 2022

A Lightweight Spectral-Spatial Convolution Module for Hyperspectral Image Classification.

Zhe Meng, Licheng Jiao, Miaomiao Liang, Feng Zhao

IEEE Geosci. Remote. Sens. Lett., 2022

A Multi-level Mixed Perception Network for Hyperspectral Image Classification.

Huai Wang, Qinghua He, Miaomiao Liang

Proceedings of the Intelligence Science IV, 2022

2021

Reliable Reputation Review and Secure Energy Transaction of Microgrid Community Based on Hybrid Blockchain.

Zilong Song, Xiaohong Zhang, Miaomiao Liang

Wirel. Commun. Mob. Comput., 2021

Hyperspectral Image Classification With Mixed Link Networks.

Zhe Meng, Licheng Jiao, Miaomiao Liang, Feng Zhao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Deep Residual Involution Network for Hyperspectral Image Classification.

Zhe Meng, Feng Zhao, Miaomiao Liang, Wen Xie

Remote. Sens., 2021

SS-MLP: A Novel Spectral-Spatial MLP Architecture for Hyperspectral Image Classification.

Zhe Meng, Feng Zhao, Miaomiao Liang

Remote. Sens., 2021

2020

Deep Feature-Based Multitask Joint Sparse Representation for Hyperspectral Image Classification.

Miaomiao Liang, Licheng Jiao, Chundong Xu

IEEE Geosci. Remote. Sens. Lett., 2020

2019

Multipath Residual Network for Spectral-Spatial Hyperspectral Image Classification.

Zhe Meng, Lingling Li, Xu Tang, Zhixi Feng, Licheng Jiao, Miaomiao Liang

Remote. Sens., 2019

Fully Dense Multiscale Fusion Network for Hyperspectral Image Classification.

Zhe Meng, Lingling Li, Licheng Jiao, Zhixi Feng, Xu Tang, Miaomiao Liang

Remote. Sens., 2019

A Superpixel-Based Relational Auto-Encoder for Feature Extraction of Hyperspectral Images.

Miaomiao Liang, Licheng Jiao, Zhe Meng

Remote. Sens., 2019

Fast unsupervised deep fusion network for change detection of multitemporal SAR images.

Huan Chen, Licheng Jiao, Miaomiao Liang, Fang Liu, Shuyuan Yang, Biao Hou

Neurocomputing, 2019

2018

Deep Multiscale Spectral-Spatial Feature Fusion for Hyperspectral Images Classification.

Miaomiao Liang, Licheng Jiao, Shuyuan Yang, Fang Liu, Biao Hou, Huan Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

2017

Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification.

Licheng Jiao, Miaomiao Liang, Huan Chen, Shuyuan Yang, Hongying Liu, Xianghai Cao

IEEE Trans. Geosci. Remote. Sens., 2017