Hong Wang
Orcid: 0000-0001-6872-8020Affiliations:
- Beijing Institute of Technology, Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education, China
- Tianjin Normal University, China (former)
According to our database1,
Hong Wang
authored at least 19 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
PM2.5 Estimation in Day/Night-Time from Himawari-8 Infrared Bands via a Deep Learning Neural Network.
Remote. Sens., October, 2023
Self-supervised learning with deep clustering for target detection in hyperspectral images with insufficient spectral variation prior.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023
IEEE Trans. Geosci. Remote. Sens., 2023
Pixel- And Patch-Wise Context-Aware Learning with CNN and GCN Collaboration for Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Transformer and CNN Hybrid Network for Super-Resolution Semantic Segmentation of Remote Sensing Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Siamese Network Ensembles for Hyperspectral Target Detection with Pseudo Data Generation.
Remote. Sens., 2022
Triplet-Metric-Guided Multi-Scale Attention for Remote Sensing Image Scene Classification with a Convolutional Neural Network.
Remote. Sens., 2022
Probability Differential-Based Class Label Noise Purification for Object Detection in Aerial Images.
IEEE Geosci. Remote. Sens. Lett., 2022
Focal Cosine Metric and Adaptive Attention Module for Remote Sensing Scene Classification With Siamese Convolutional Neural Networks.
IEEE Access, 2022
2021
Improving Performance and Adaptivity of Anchor-Based Detector Using Differentiable Anchoring With Efficient Target Generation.
IEEE Trans. Image Process., 2021
IEEE Geosci. Remote. Sens. Lett., 2021
Image Reconstruction Using Variable Exponential Function Regularization for Wide-Field Polarization Modulation Imaging.
IEEE Access, 2021
2020
Hyperspectral Unmixing Using Orthogonal Sparse Prior-Based Autoencoder With Hyper-Laplacian Loss and Data-Driven Outlier Detection.
IEEE Trans. Geosci. Remote. Sens., 2020
On-Orbit MTF Estimation for GF-4 Satellite Using Spatial Multisampling on a New Target.
IEEE Geosci. Remote. Sens. Lett., 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Blind Hyperspectral Unmixing using Dual Branch Deep Autoencoder with Orthogonal Sparse Prior.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
2018