Fang Liu

According to our database, Fang Liu authored at least 41 papers between 2016 and 2024.

Collaborative distances:

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

2024

Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification.

Yuqun Yang, Xu Tang, Xiangrong Zhang, Jingjing Ma, Fang Liu, Xiuping Jia, Licheng Jiao

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Computational Oriented Proposal for Fine-Grained Ship Detection in Complex Remote Sensing Images.

Wenjing Zhan, Fang Liu, Yongke Li, Liang Xiao

IEEE Trans. Instrum. Meas., 2024

Hyperspectral Reconstruction From RGB Images via Physically Guided Graph Deep Prior Learning.

Haifeng Xu, Jingxiang Yang, Tian Lin, Jia Liu, Fang Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

I²MEP-Net: Inter- and Intra-Modality Enhancing Prototypical Network for Few-Shot Hyperspectral Image Classification.

Wenzhen Wang, Fang Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

Multiple Information Collaborative Fusion Network for Joint Classification of Hyperspectral and LiDAR Data.

Xu Tang, Yizhou Zou, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2024

Prior-Experience-Based Vision-Language Model for Remote Sensing Image-Text Retrieval.

Xu Tang, Dabiao Huang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2024

Spatial Pooling Transformer Network and Noise-Tolerant Learning for Noisy Hyperspectral Image Classification.

Jingjing Ma, Yizhou Zou, Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2024

Content-Guided and Class-Oriented Learning for VHR Image Semantic Segmentation.

Fang Liu, Keming Liu, Jia Liu, Jingxiang Yang, Xu Tang, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

Difference Guidance Learning With Feature Alignment for Change Detection.

Yangguang Liu, Fang Liu, Jia Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

Candidate-Aware and Change-Guided Learning for Remote Sensing Change Detection.

Fang Liu, Yangguang Liu, Jia Liu, Xu Tang, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

Conjoint Cross-Attention Modeling and Joint Feature Calibrating for Remote Sensing Image Change Detection via a Triple-Double Network.

Fang Liu, Jiaqi An, Jia Liu, Jingxiang Yang, Xu Tang, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

Stair Fusion Network With Context-Refined Attention for Remote Sensing Image Semantic Segmentation.

Jia Liu, Wenyi Hua, Wenhua Zhang, Fang Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2024

A Cross-Modal Semantic Mapping Enhancement Model for Remote Sensing Visual Question Answering.

Dabiao Huang, Xu Tang, Xiangrong Zhang, Fang Liu, Jingjing Ma, Cheng Zhu, Licheng Jiao

Proceedings of the IGARSS 2024, 2024

2023

Cross-Modal Graph Knowledge Representation and Distillation Learning for Land Cover Classification.

Wenzhen Wang, Fang Liu, Wenzhi Liao, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2023

Interacting-Enhancing Feature Transformer for Cross-Modal Remote-Sensing Image and Text Retrieval.

Xu Tang, Yijing Wang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2023

Adversarial Domain Alignment With Contrastive Learning for Hyperspectral Image Classification.

Fang Liu, Wenfei Gao, Jia Liu, Xu Tang, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2023

MANet: An Efficient Multidimensional Attention-Aggregated Network for Remote Sensing Image Change Detection.

Kaixuan Jiang, Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2023

Spatial-Spectral Adaptive Learning With Pixelwise Filtering for Hyperspectral Image Classification.

Wenfei Gao, Fang Liu, Jia Liu, Liang Xiao, Xu Tang

IEEE Trans. Geosci. Remote. Sens., 2023

Adaptive Spatial and Difference Learning for Change Detection.

Yangguang Liu, Fang Liu, Jia Liu, Xu Tang, Liang Xiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Stair Fusion Network for Remote Sensing Image Semantic Segmentation.

Wenyi Hua, Jia Liu, Fang Liu, Wenhua Zhang, Jiaqi An

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

AR²Det: An Accurate and Real-Time Rotational One-Stage Ship Detector in Remote Sensing Images.

Yuqun Yang, Xu Tang, Yiu-Ming Cheung, Xiangrong Zhang, Fang Liu, Jingjing Ma, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2022

An Unsupervised Remote Sensing Change Detection Method Based on Multiscale Graph Convolutional Network and Metric Learning.

Xu Tang, Huayu Zhang, Lichao Mou, Fang Liu, Xiangrong Zhang, Xiao Xiang Zhu, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2022

Meta-Hashing for Remote Sensing Image Retrieval.

Xu Tang, Yuqun Yang, Jingjing Ma, Yiu-Ming Cheung, Chao Liu, Fang Liu, Xiangrong Zhang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2022

Class-Level Prototype Guided Multiscale Feature Learning for Remote Sensing Scene Classification With Limited Labels.

Xu Tang, Weiquan Lin, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2022

A Probabilistic Model Based on Bipartite Convolutional Neural Network for Unsupervised Change Detection.

Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2022

Adaptive Graph Convolutional Network for PolSAR Image Classification.

Fang Liu, Jingya Wang, Xu Tang, Jia Liu, Xiangrong Zhang, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2022

Joint Variation Learning of Fusion and Difference Features for Change Detection in Remote Sensing Images.

Kaixuan Jiang, Wenhua Zhang, Jia Liu, Fang Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2022

Evolving Connections in Group of Neurons for Robust Learning.

Jia Liu, Maoguo Gong, Liang Xiao, Wenhua Zhang, Fang Liu

IEEE Trans. Cybern., 2022

Domain-Adaptive Few-Shot Learning for Hyperspectral Image Classification.

Andi Zhang, Fang Liu, Jia Liu, Xu Tang, Wenfei Gao, Donghui Li, Liang Xiao

IEEE Geosci. Remote. Sens. Lett., 2022

dual unet: a novel siamese network for change detection with cascade differential fusion.

Kaixuan Jiang, Ja Liu, Fang Liu, Wenhua Zhang, Yangguang Liu

CoRR, 2022

Spatial-Adaptive and Feature-Enhanced Siamese Network for Change Detection.

Yangguang Liu, Fang Liu, Jia Liu, Xu Tang, Kaixuan Jiang, Liang Xiao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Dual Unet: A Novel Siamese Network for Change Detection with Cascade Differential Fusion.

Kaixuan Jiang, Jia Liu, Fang Liu, Wenhua Zhang, Yangguang Liu, Jiao Shi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial-Spectral Attention Network.

Xu Tang, Fanbo Meng, Xiangrong Zhang, Yiu-Ming Cheung, Jingjing Ma, Fang Liu, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2021

Large-Scope PolSAR Image Change Detection Based on Looking-Around-and-Into Mode.

Fang Liu, Xu Tang, Xiangrong Zhang, Licheng Jiao, Jia Liu

IEEE Trans. Geosci. Remote. Sens., 2021

Deep Hash Learning for Remote Sensing Image Retrieval.

Chao Liu, Jingjing Ma, Xu Tang, Fang Liu, Xiangrong Zhang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2021

Attention Consistent Network for Remote Sensing Scene Classification.

Xu Tang, Qiushuo Ma, Xiangrong Zhang, Fang Liu, Jingjing Ma, Licheng Jiao

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

2020

Hyperspectral Image Classification Based on Multiscale Spatial and Spectral Feature Network.

Xu Tang, Fanbo Meng, Jingjing Ma, Xiangrong Zhang, Fang Liu, Qunnie Peng, Licheng Jiao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Images.

Fang Liu, Licheng Jiao, Xu Tang, Shuyuan Yang, Wenping Ma, Biao Hou

IEEE Trans. Neural Networks Learn. Syst., 2019

Task-Oriented GAN for PolSAR Image Classification and Clustering.

Fang Liu, Licheng Jiao, Xu Tang

IEEE Trans. Neural Networks Learn. Syst., 2019

2016

Wishart Deep Stacking Network for Fast POLSAR Image Classification.

Licheng Jiao, Fang Liu

IEEE Trans. Image Process., 2016

POL-SAR Image Classification Based on Wishart DBN and Local Spatial Information.

Fang Liu, Licheng Jiao, Biao Hou, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2016