Chao Tao
Orcid: 0000-0003-0071-310XAffiliations:
- Central South University, School of Geosciences and Info-Physics, Changsha, China
According to our database1,
Chao Tao
authored at least 47 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
HSONet: A Siamese foreground association-driven hard case sample optimization network for high-resolution remote sensing image change detection.
CoRR, 2024
2023
MSINet: Mining scale information from digital surface models for semantic segmentation of aerial images.
Pattern Recognit., November, 2023
GFCNet: Contrastive Learning Network with Geography Feature Space Joint Negative Sample Correction for Land Cover Classification.
Remote. Sens., October, 2023
GraSS: Contrastive Learning With Gradient-Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023
Self-Supervised Remote Sensing Feature Learning: Learning Paradigms, Challenges, and Future Works.
IEEE Trans. Geosci. Remote. Sens., 2023
A General Transitive Transfer Learning Framework for Cross-Optical Sensor Remote Sensing Image Scene Understanding.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-Supervised Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Using Global Land Cover Product as Prompt for Cropland Mapping via Visual Foundation Model.
CoRR, 2023
2022
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Thick Cloud Removal in Optical Remote Sensing Images Using a Texture Complexity Guided Self-Paced Learning Method.
IEEE Trans. Geosci. Remote. Sens., 2022
Contextual Information-Preserved Architecture Learning for Remote-Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
Comprehensive Geographic Networks Analysis: Statistical, Geometric and Algebraic Perspectives.
Symmetry, 2022
FALSE: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image.
IEEE Geosci. Remote. Sens. Lett., 2022
Fine-Grained Road Scene Understanding From Aerial Images Based on Semisupervised Semantic Segmentation Networks.
IEEE Geosci. Remote. Sens. Lett., 2022
Cross-Sensor Remote-Sensing Images Scene Understanding Based on Transfer Learning Between Heterogeneous Networks.
IEEE Geosci. Remote. Sens. Lett., 2022
Remote Sensing Image Scene Classification With Self-Supervised Paradigm Under Limited Labeled Samples.
IEEE Geosci. Remote. Sens. Lett., 2022
MDANet: Unsupervised, Mixed-Domain Adaptation for Semantic Segmentation of Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning.
CoRR, 2022
2021
RS-MetaNet: Deep Metametric Learning for Few-Shot Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2021
Semi-Supervised Convolutional Long Short-Term Memory Neural Networks for Time Series Land Cover Classification.
Remote. Sens., 2021
IEEE Geosci. Remote. Sens. Lett., 2021
SCAttNet: Semantic Segmentation Network With Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2021
A Multiple Subspaces-Based Model: Interpreting Urban Functional Regions with Big Geospatial Data.
ISPRS Int. J. Geo Inf., 2021
Remote Sensing Images Semantic Segmentation with General Remote Sensing Vision Model via a Self-Supervised Contrastive Learning Method.
CoRR, 2021
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting.
IEEE Access, 2021
2020
Semisupervised Variational Generative Adversarial Networks for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Sensors, 2020
RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data.
Sensors, 2020
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting.
CoRR, 2020
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting.
CoRR, 2020
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification.
CoRR, 2020
A Transfer Learning Approach Utilizing Combined Artificial Samples for Improved Robustness of Model to Estimate Heavy Metal Contamination in Soil.
IEEE Access, 2020
2019
IEEE Trans. Geosci. Remote. Sens., 2019
Semi-Supervised Variational Generative Adversarial Networks for Hyperspectral Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Spatial Information Inference Net: Road Extraction Using Road-Specific Contextual Information.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2017
An On-Road Vehicle Detection Method for High-Resolution Aerial Images Based on Local and Global Structure Learning.
IEEE Geosci. Remote. Sens. Lett., 2017
ISPRS Int. J. Geo Inf., 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
Content-Based High-Resolution Remote Sensing Image Retrieval via Unsupervised Feature Learning and Collaborative Affinity Metric Fusion.
Remote. Sens., 2016
IEEE Geosci. Remote. Sens. Lett., 2016
CoRR, 2016
A vehicle detection method taking shadow areas into account for high resolution aerial imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
Unsupervised Spectral-Spatial Feature Learning With Stacked Sparse Autoencoder for Hyperspectral Imagery Classification.
IEEE Geosci. Remote. Sens. Lett., 2015