Pan Chen
Orcid: 0000-0002-5567-5801Affiliations:
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
According to our database1,
Pan Chen authored at least 15 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Incorporating Physical Constraint in Three-Dimensional Time Series InSAR Inversion for Urban Deformation Monitoring.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
2024
Superpixel Segmentation Based on Anisotropic Diffusion Model for Object-Oriented Remote Sensing Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Cross-Sensor Cloud Detection Based on Neural Style Transfer and Efficient Transformer.
Proceedings of the IGARSS 2024, 2024
Proceedings of the IGARSS 2024, 2024
Object-Oriented SAR Image Change Detection Based on Speckle Reducing Anisotropic Diffusion.
Proceedings of the IGARSS 2024, 2024
Change Detection for High-Resolution Remote Sensing Images with Transformer Fusion Network.
Proceedings of the IGARSS 2024, 2024
2023
A Transformer-Based Neural Network with Improved Pyramid Pooling Module for Change Detection in Ecological Redline Monitoring.
Remote. Sens., February, 2023
A Triple-Stream Network With Cross-Stage Feature Fusion for High-Resolution Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2023
2022
A Multi-Temporal Network for Improving Semantic Segmentation of Large-Scale Landsat Imagery.
Remote. Sens., 2022
A Block Shuffle Network with Superpixel Optimization for Landsat Image Semantic Segmentation.
Remote. Sens., 2022
A Convolutional Neural Network for Large-Scale Greenhouse Extraction from Satellite Images Considering Spatial Features.
Remote. Sens., 2022
Remote. Sens., 2022
2021
An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery.
CoRR, 2021
2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019