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2020 – today
- 2024
[j13]Rongfang Wang, Zhaoshan Mu, Jing Wang
, Kai Wang, Hui Liu, Zhiguo Zhou, Licheng Jiao:
ASF-LKUNet: Adjacent-scale fusion U-Net with large kernel for multi-organ segmentation. Comput. Biol. Medicine 181: 109050 (2024)- [j12]Rongfang Wang, Chenchen Zhang, Chao Chen, Hongxia Hao, Weibin Li, Licheng Jiao:
A Multi-Modality Fusion and Gated Multi-Filter U-Net for Water Area Segmentation in Remote Sensing. Remote. Sens. 16(2): 419 (2024) - [j11]Shanshan Zhang, Weibin Li, Rongfang Wang, Chenbin Liang, Xihui Feng, Yanhua Hu:
DaliWS: A High-Resolution Dataset with Precise Annotations for Water Segmentation in Synthetic Aperture Radar Images. Remote. Sens. 16(4): 720 (2024) - [c18]Weibin Li, Hanni Zhao, Rongfang Wang, Xihui Feng:
A Road Extraction Network Focusing on Long Range Relationships and Directional Linear Features of Roads. CVDL 2024: 22:1-22:6 - [c17]Rongfang Wang, Haojiang Wei, Yuhui Kong, Peng Zhang, Xiaokai Wang, Weibin Li:
A Potential Landslide Hazard Benchmark Dataset for Geological Disaster Detection of Remote Sensing. IGARSS 2024: 7410-7414 - [c16]Xiaokai Wang, Rongfang Wang, Changzhe Jiao, Yi Niu, Caihong Mu:
Block Pruning And Collaborative Distillation For Image Classification Of Remote Sensing. IGARSS 2024: 8856-8860 - [c15]Lei Wang, Libin Sun, Xiao Pan, Bo Yang, Rongfang Wang, Changzhe Jiao:
Multi-Excitation Enhanced Multi-Feature Fusion Network for Hyperspectral and LiDAR Data Classification. IGARSS 2024: 9671-9675 - 2023
- [c14]Chenchen Zhang, Rongfang Wang, Jia-Wei Chen, Weibin Li, Chunlei Huo, Yi Niu:
A Multi-Branch U-Net for Water Area Segmentation with Multi-Modality Remote Sensing Images. IGARSS 2023: 5443-5446 - [c13]Rongfang Wang, Haojiang Wei, Anna Wang, Jiawei Chen, Chunlei Huo, Yi Niu:
Robust Road Detection on High-Resolution Remote Sensing Images with Occlusion by a Dual-Decoded UNet. IGARSS 2023: 5716-5719 - [c12]Weibin Li, Yuhui Kong, Rongfang Wang, Chunlei Huo, Jiawei Chen, Yi Niu:
Lightweight Landslide Detection Method Based On Depth Separable Convolution And Double Self-Attention Mechanism *. IGARSS 2023: 6198-6201 - [c11]Xiaokai Wang, Jia-Wei Chen, Rongfang Wang, Chunlei Huo, Yi Niu, Caihong Mu:
A Lite-CNN for Landslides Recognition on Remote Sensing Images Via Structure Pruning. IGARSS 2023: 6526-6529 - [c10]Chang Li, Rongfang Wang, Jia-Wei Chen, Chunlei Huo, Yi Niu, Changzhe Jiao:
A Siamese Network for Semantic Change Detection Based on Multiscale Context Fusion. IGARSS 2023: 6648-6651 - [c9]Weibin Li, Shanshan Zhang, Rongfang Wang, Yanhua Hu, Yi Niu:
Construction and Analysis of Dali Water Segmentation Dataset of SAR Images. IGARSS 2023: 7070-7073 - 2022
- [j10]Zhenbiao Wang, Yali Qin, Huan Zheng, Rongfang Wang:
Multiscale deep network for compressive sensing image reconstruction. J. Electronic Imaging 31(1) (2022) - [j9]Rongfang Wang, Liang Wang, Xiaohui Wei, Jiawei Chen, Licheng Jiao:
Dynamic Graph-Level Neural Network for SAR Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [c8]Rongfang Wang, Liang Wang, Pinghai Dong, Licheng Jiao, Jiawei Chen:
Graph-Level Neural Network for SAR Image Change Detection. IGARSS 2021: 3785-3788 - [c7]Rongfang Wang, Weidong Wang, Pinghai Dong, Haojiang Wei, Licheng Jiao, Jiawei Chen:
Sar Image Change Detection via a Few-Shot Learning-Based Neural Network. IGARSS 2021: 5287-5290 - [c6]Jinkun Guo, Rongfang Wang, Zhiguo Zhou, Kai Wang, Rongbin Xu, Jing Wang:
Multi-Modality and Multi-View 2D CNN to Predict Locoregional Recurrence in Head & Neck Cancer. IJCNN 2021: 1-7 - [c5]Zhiguo Zhou, Rongfang Wang, Jing Yang, Rongbin Xu, Jinkun Guo:
Multimodal weighted network for 3D brain tumor segmentation in MRI images. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - 2020
- [j8]Rongfang Wang, Jiawei Chen, Yule Wang, Licheng Jiao, Mi Wang:
SAR Image Change Detection via Spatial Metric Learning With an Improved Mahalanobis Distance. IEEE Geosci. Remote. Sens. Lett. 17(1): 77-81 (2020) - [j7]Jiawei Chen, Rongfang Wang, Fan Ding, Bo Liu, Licheng Jiao, Jie Zhang:
A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images. Remote. Sens. 12(10): 1619 (2020) - [c4]Rongfang Wang, Fan Ding, Jiawei Chen, Bo Liu, Jie Zhang, Licheng Jiao:
SAR Image Change Detection Method via a Pyramid Pooling Convolutional Neural Network. IGARSS 2020: 312-315 - [c3]Rongfang Wang, Weidong Wang, Jiawei Chen, Licheng Jiao, Hongxia Hao:
A Deep Generalized Correlation Network for Bitemporal Image Change Detection. IGARSS 2020: 2547-2550 - [c2]Rongfang Wang, Fan Ding, Jiawei Chen, Licheng Jiao, Liang Wang:
A Lightweight Convolutional Neural Network for Bitemporal Image Change Detection. IGARSS 2020: 2551-2554 - [i4]Jiawei Chen, Rongfang Wang, Fan Ding, Bo Liu, Licheng Jiao, Jie Zhang:
A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images. CoRR abs/2005.10986 (2020) - [i3]Rongfang Wang, Fan Ding, Licheng Jiao, Jiawei Chen, Bo Liu, Wenping Ma, Mi Wang:
A Light-Weighted Convolutional Neural Network for Bitemporal SAR Image Change Detection. CoRR abs/2005.14376 (2020)
2010 – 2019
- 2019
- [j6]Shasha Mao, Jiawei Chen, Licheng Jiao, Shuiping Gou, Rongfang Wang:
Maximizing diversity by transformed ensemble learning. Appl. Soft Comput. 82 (2019) - [j5]Rongfang Wang, Jie Zhang, Jiawei Chen, Licheng Jiao, Mi Wang:
Imbalanced Learning-Based Automatic SAR Images Change Detection by Morphologically Supervised PCA-Net. IEEE Geosci. Remote. Sens. Lett. 16(4): 554-558 (2019) - [j4]Rongfang Wang, Jiawei Chen, Licheng Jiao, Mi Wang:
How Can Despeckling and Structural Features Benefit to Change Detection on Bitemporal SAR Images? Remote. Sens. 11(4): 421 (2019) - [i2]Rongfang Wang, Jie Zhang, Jiawei Chen, Licheng Jiao, Mi Wang:
Imbalanced Learning-based Automatic SAR Images Change Detection by Morphologically Supervised PCA-Net. CoRR abs/1906.07923 (2019) - [i1]Rongfang Wang, Jiawei Chen, Yule Wang, Licheng Jiao, Mi Wang:
SAR Image Change Detection via Spatial Metric Learning with an Improved Mahalanobis Distance. CoRR abs/1906.07930 (2019) - 2018
- [j3]Jing Gu, Licheng Jiao, Fang Liu, Shuyuan Yang, Rongfang Wang, Puhua Chen, Yuanhao Cui, Junhu Xie, Yake Zhang:
Random subspace based ensemble sparse representation. Pattern Recognit. 74: 544-555 (2018) - 2017
- [j2]Yifei Sun, Licheng Jiao, Xiaozheng Deng, Rongfang Wang:
Dynamic network structured immune particle swarm optimisation with small-world topology. Int. J. Bio Inspired Comput. 9(2): 93-105 (2017) - [j1]Hongying Liu, Shuyuan Yang, Shuiping Gou, Dexiang Zhu, Rongfang Wang, Licheng Jiao:
Polarimetric SAR Feature Extraction With Neighborhood Preservation-Based Deep Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1456-1466 (2017) - [c1]Jie Feng, Liguo Liu, Xiangrong Zhang, Rongfang Wang, Hongying Liu:
Hyperspectral image classification based on stacked marginal discriminative autoencoder. IGARSS 2017: 3668-3671
Coauthor Index
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