Jie Chen
Orcid: 0000-0002-3864-9265Affiliations:
- Central South University, School of Geosciences and Info-Physics, Changsha, China
According to our database1,
Jie Chen
authored at least 32 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery.
CoRR, 2024
2023
Road Extraction from High-Resolution Remote Sensing Images via Local and Global Context Reasoning.
Remote. Sens., September, 2023
Urban Built Environment Assessment Based on Scene Understanding of High-Resolution Remote Sensing Imagery.
Remote. Sens., March, 2023
Unsupervised Domain Adaptation Semantic Segmentation of High-Resolution Remote Sensing Imagery With Invariant Domain-Level Prototype Memory.
IEEE Trans. Geosci. Remote. Sens., 2023
Memory-Contrastive Unsupervised Domain Adaptation for Building Extraction of High-Resolution Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2023
2022
Unsupervised Domain Adaptation for Semantic Segmentation of High-Resolution Remote Sensing Imagery Driven by Category-Certainty Attention.
IEEE Trans. Geosci. Remote. Sens., 2022
Multiscale Object Contrastive Learning-Derived Few-Shot Object Detection in VHR Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022
Contextual Information-Preserved Architecture Learning for Remote-Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Remote Sensing Mapping of Build-Up Land with Noisy Label via Fault-Tolerant Learning.
Remote. Sens., 2022
Improving Building Extraction by Using Knowledge Distillation to Reduce the Impact of Label Noise.
Remote. Sens., 2022
Spatial-Temporal Invariant Contrastive Learning for Remote Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2022
Message-Passing-Driven Triplet Representation for Geo-Object Relational Inference in HRSI.
IEEE Geosci. Remote. Sens. Lett., 2022
Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level context memory.
CoRR, 2022
2021
FODA: Building Change Detection in High-Resolution Remote Sensing Images Based on Feature-Output Space Dual-Alignment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Strengthen the Feature Distinguishability of Geo-Object Details in the Semantic Segmentation of High-Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Remote Sensing-Based Urban Sprawl Modeling Using Multilayer Perceptron Neural Network Markov Chain in Baghdad, Iraq.
Remote. Sens., 2021
SMAF-Net: Sharing Multiscale Adversarial Feature for High-Resolution Remote Sensing Imagery Semantic Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2021
2020
RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data.
Sensors, 2020
SPMF-Net: Weakly Supervised Building Segmentation by Combining Superpixel Pooling and Multi-Scale Feature Fusion.
Remote. Sens., 2020
Multi-Scale Spatial and Channel-wise Attention for Improving Object Detection in Remote Sensing Imagery.
IEEE Geosci. Remote. Sens. Lett., 2020
DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images.
CoRR, 2020
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification.
CoRR, 2020
2018
Line-Constrained Shape Feature for Building Change Detection in VHR Remote Sensing Imagery.
ISPRS Int. J. Geo Inf., 2018
Improving Building Change Detection in VHR Remote Sensing Imagery by Combining Coarse Location and Co-Segmentation.
ISPRS Int. J. Geo Inf., 2018
2017
J. Intell. Fuzzy Syst., 2017
On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition.
CoRR, 2017
RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data.
CoRR, 2017
What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework?
CoRR, 2017
2016
Multiclass Labeling of Very High-Resolution Remote Sensing Imagery by Enforcing Nonlocal Shared Constraints in Multilevel Conditional Random Fields Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
CoRR, 2016