Rongfang Wang

According to our database, Rongfang Wang authored at least 32 papers between 2017 and 2024.

Collaborative distances:

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

2024

DaliWS: A High-Resolution Dataset with Precise Annotations for Water Segmentation in Synthetic Aperture Radar Images.

Shanshan Zhang, Weibin Li, Rongfang Wang, Chenbin Liang, Xihui Feng, Yanhua Hu

Remote. Sens., February, 2024

A Multi-Modality Fusion and Gated Multi-Filter U-Net for Water Area Segmentation in Remote Sensing.

Rongfang Wang, Chenchen Zhang, Chao Chen, Hongxia Hao, Weibin Li, Licheng Jiao

Remote. Sens., January, 2024

ASF-LKUNet: Adjacent-scale fusion U-Net with large kernel for multi-organ segmentation.

Rongfang Wang, Zhaoshan Mu, Jing Wang, Kai Wang, Hui Liu, Zhiguo Zhou, Licheng Jiao

Comput. Biol. Medicine, 2024

A Potential Landslide Hazard Benchmark Dataset for Geological Disaster Detection of Remote Sensing.

Rongfang Wang, Haojiang Wei, Yuhui Kong, Peng Zhang, Xiaokai Wang, Weibin Li

Proceedings of the IGARSS 2024, 2024

Block Pruning And Collaborative Distillation For Image Classification Of Remote Sensing.

Xiaokai Wang, Rongfang Wang, Changzhe Jiao, Yi Niu, Caihong Mu

Proceedings of the IGARSS 2024, 2024

Multi-Excitation Enhanced Multi-Feature Fusion Network for Hyperspectral and LiDAR Data Classification.

Lei Wang, Libin Sun, Xiao Pan, Bo Yang, Rongfang Wang, Changzhe Jiao

Proceedings of the IGARSS 2024, 2024

A Road Extraction Network Focusing on Long Range Relationships and Directional Linear Features of Roads.

Weibin Li, Hanni Zhao, Rongfang Wang, Xihui Feng

Proceedings of the International Conference on Computer Vision and Deep Learning, 2024

2023

A Multi-Branch U-Net for Water Area Segmentation with Multi-Modality Remote Sensing Images.

Chenchen Zhang, Rongfang Wang, Jia-Wei Chen, Weibin Li, Chunlei Huo, Yi Niu

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

Robust Road Detection on High-Resolution Remote Sensing Images with Occlusion by a Dual-Decoded UNet.

Rongfang Wang, Haojiang Wei, Anna Wang, Jiawei Chen, Chunlei Huo, Yi Niu

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

A Lite-CNN for Landslides Recognition on Remote Sensing Images Via Structure Pruning.

Xiaokai Wang, Jia-Wei Chen, Rongfang Wang, Chunlei Huo, Yi Niu, Caihong Mu

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

Construction and Analysis of Dali Water Segmentation Dataset of SAR Images.

Weibin Li, Shanshan Zhang, Rongfang Wang, Yanhua Hu, Yi Niu

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

A Siamese Network for Semantic Change Detection Based on Multiscale Context Fusion.

Chang Li, Rongfang Wang, Jia-Wei Chen, Chunlei Huo, Yi Niu, Changzhe Jiao

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

Lightweight Landslide Detection Method Based On Depth Separable Convolution And Double Self-Attention Mechanism ^*.

Weibin Li, Yuhui Kong, Rongfang Wang, Chunlei Huo, Jiawei Chen, Yi Niu

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

2022

Dynamic Graph-Level Neural Network for SAR Image Change Detection.

Rongfang Wang, Liang Wang, Xiaohui Wei, Jiawei Chen, Licheng Jiao

IEEE Geosci. Remote. Sens. Lett., 2022

Multiscale deep network for compressive sensing image reconstruction.

Zhenbiao Wang, Yali Qin, Huan Zheng, Rongfang Wang

J. Electronic Imaging, 2022

2021

Multimodal weighted network for 3D brain tumor segmentation in MRI images.

Zhiguo Zhou, Rongfang Wang, Jing Yang, Rongbin Xu, Jinkun Guo

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Multi-Modality and Multi-View 2D CNN to Predict Locoregional Recurrence in Head & Neck Cancer.

Jinkun Guo, Rongfang Wang, Zhiguo Zhou, Kai Wang, Rongbin Xu, Jing Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

Graph-Level Neural Network for SAR Image Change Detection.

Rongfang Wang, Liang Wang, Pinghai Dong, Licheng Jiao, Jiawei Chen

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

Sar Image Change Detection via a Few-Shot Learning-Based Neural Network.

Rongfang Wang, Weidong Wang, Pinghai Dong, Haojiang Wei, Licheng Jiao, Jiawei Chen

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

2020

A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images.

Jiawei Chen, Rongfang Wang, Fan Ding, Bo Liu, Licheng Jiao, Jie Zhang

Remote. Sens., 2020

SAR Image Change Detection via Spatial Metric Learning With an Improved Mahalanobis Distance.

Rongfang Wang, Jiawei Chen, Yule Wang, Licheng Jiao, Mi Wang

IEEE Geosci. Remote. Sens. Lett., 2020

A Light-Weighted Convolutional Neural Network for Bitemporal SAR Image Change Detection.

Rongfang Wang, Fan Ding, Licheng Jiao, Jiawei Chen, Bo Liu, Wenping Ma, Mi Wang

CoRR, 2020

A Deep Generalized Correlation Network for Bitemporal Image Change Detection.

Rongfang Wang, Weidong Wang, Jiawei Chen, Licheng Jiao, Hongxia Hao

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

SAR Image Change Detection Method via a Pyramid Pooling Convolutional Neural Network.

Rongfang Wang, Fan Ding, Jiawei Chen, Bo Liu, Jie Zhang, Licheng Jiao

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

A Lightweight Convolutional Neural Network for Bitemporal Image Change Detection.

Rongfang Wang, Fan Ding, Jiawei Chen, Licheng Jiao, Liang Wang

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

2019

How Can Despeckling and Structural Features Benefit to Change Detection on Bitemporal SAR Images?

Rongfang Wang, Jiawei Chen, Licheng Jiao, Mi Wang

Remote. Sens., 2019

Imbalanced Learning-Based Automatic SAR Images Change Detection by Morphologically Supervised PCA-Net.

Rongfang Wang, Jie Zhang, Jiawei Chen, Licheng Jiao, Mi Wang

IEEE Geosci. Remote. Sens. Lett., 2019

Maximizing diversity by transformed ensemble learning.

Shasha Mao, Jiawei Chen, Licheng Jiao, Shuiping Gou, Rongfang Wang

Appl. Soft Comput., 2019

2018

Random subspace based ensemble sparse representation.

Jing Gu, Licheng Jiao, Fang Liu, Shuyuan Yang, Rongfang Wang, Puhua Chen, Yuanhao Cui, Junhu Xie, Yake Zhang

Pattern Recognit., 2018

2017

Polarimetric SAR Feature Extraction With Neighborhood Preservation-Based Deep Learning.

Hongying Liu, Shuyuan Yang, Shuiping Gou, Dexiang Zhu, Rongfang Wang, Licheng Jiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Dynamic network structured immune particle swarm optimisation with small-world topology.

Yifei Sun, Licheng Jiao, Xiaozheng Deng, Rongfang Wang

Int. J. Bio Inspired Comput., 2017

Hyperspectral image classification based on stacked marginal discriminative autoencoder.

Jie Feng, Liguo Liu, Xiangrong Zhang, Rongfang Wang, Hongying Liu

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017