Rongfang Wang

Orcid: 0000-0002-7253-7750

According to our database1, Rongfang Wang authored at least 26 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
DaliWS: A High-Resolution Dataset with Precise Annotations for Water Segmentation in Synthetic Aperture Radar Images.
Remote. Sens., February, 2024

A Multi-Modality Fusion and Gated Multi-Filter U-Net for Water Area Segmentation in Remote Sensing.
Remote. Sens., January, 2024

2023
A Multi-Branch U-Net for Water Area Segmentation with Multi-Modality Remote Sensing Images.
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.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Lite-CNN for Landslides Recognition on Remote Sensing Images Via Structure Pruning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Construction and Analysis of Dali Water Segmentation Dataset of SAR Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Siamese Network for Semantic Change Detection Based on Multiscale Context Fusion.
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 <sup>*</sup>.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Dynamic Graph-Level Neural Network for SAR Image Change Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Multimodal weighted network for 3D brain tumor segmentation in MRI images.
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.
Proceedings of the International Joint Conference on Neural Networks, 2021

Graph-Level Neural Network for SAR Image Change Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Sar Image Change Detection via a Few-Shot Learning-Based Neural Network.
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.
Remote. Sens., 2020

SAR Image Change Detection via Spatial Metric Learning With an Improved Mahalanobis Distance.
IEEE Geosci. Remote. Sens. Lett., 2020

A Light-Weighted Convolutional Neural Network for Bitemporal SAR Image Change Detection.
CoRR, 2020

A Deep Generalized Correlation Network for Bitemporal Image Change Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

SAR Image Change Detection Method via a Pyramid Pooling Convolutional Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

A Lightweight Convolutional Neural Network for Bitemporal Image Change Detection.
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?
Remote. Sens., 2019

Imbalanced Learning-Based Automatic SAR Images Change Detection by Morphologically Supervised PCA-Net.
IEEE Geosci. Remote. Sens. Lett., 2019

Maximizing diversity by transformed ensemble learning.
Appl. Soft Comput., 2019

2018
Random subspace based ensemble sparse representation.
Pattern Recognit., 2018

2017
Polarimetric SAR Feature Extraction With Neighborhood Preservation-Based Deep Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Dynamic network structured immune particle swarm optimisation with small-world topology.
Int. J. Bio Inspired Comput., 2017

Hyperspectral image classification based on stacked marginal discriminative autoencoder.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017


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