Ping Zhong
Orcid: 0000-0002-8686-3928Affiliations:
- National University of Defense Technology, ATR Lab. School of Electronics Science and Engineering, Changsha, China
According to our database1,
Ping Zhong
authored at least 75 papers
between 2006 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Geosci. Remote. Sens., 2024
2023
Remote. Sens., October, 2023
Boosting transferability of physical attack against detectors by redistributing separable attention.
Pattern Recognit., June, 2023
Digit. Signal Process., March, 2023
IEEE Trans. Geosci. Remote. Sens., 2023
IEEE Geosci. Remote. Sens. Lett., 2023
A CNN with noise inclined module and denoise framework for hyperspectral image classification.
IET Image Process., 2023
Beyond Sharing Weights in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification.
CoRR, 2023
2022
Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Cybern., 2022
IEEE Trans. Aerosp. Electron. Syst., 2022
Adversarial Patch Attack on Multi-Scale Object Detection for UAV Remote Sensing Images.
Remote. Sens., 2022
Attention Mask-Based Network With Simple Color Annotation for UAV Vehicle Re-Identification.
IEEE Geosci. Remote. Sens. Lett., 2022
CoRR, 2022
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Delve Into Hyperspectral Anomaly Detection Via Bayesian Gaussian Tensor Decomposition.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022
Balanced neural architecture search and optimization for specific emitter identification.
Proceedings of the 12th IEEE International Conference on RFID Technology and Applications, 2022
2021
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2021
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network.
IEEE Trans. Geosci. Remote. Sens., 2021
Low-Rank Approximation and Multiple Sparse Constraint Modeling for Infrared Low-Flying Fixed-Wing UAV Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Few-Shot Object Detection With Self-Adaptive Attention Network for Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Hybrid Sequence Networks for Unsupervised Water Properties Estimation From Hyperspectral Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
An Unmixing-Based Network for Underwater Target Detection From Hyperspectral Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
A Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery.
Remote. Sens., 2021
Bathymetric-Based Band Selection Method for Hyperspectral Underwater Target Detection.
Remote. Sens., 2021
Int. J. Mach. Learn. Cybern., 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations.
IEEE Trans. Neural Networks Learn. Syst., 2020
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2020
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images.
CoRR, 2020
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images.
CoRR, 2020
2019
A CNN With Multiscale Convolution and Diversified Metric for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019
Joint Learning of the Center Points and Deep Metrics for Land-Use Classification in Remote Sensing.
Remote. Sens., 2019
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification.
CoRR, 2019
CoRR, 2019
Unsupervised Deep Feature Learning With Iteratively Refined Pseudo Classes for Scene Representation.
IEEE Access, 2019
An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Diversity-Promoting Deep Structural Metric Learning for Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2018
An Unsupervised Convolutional Feature Fusion Network for Deep Representation of Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2018
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
IEEE Trans. Geosci. Remote. Sens., 2017
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Joint learning of deep multi-scale features and diversified metrics for hyperspectral image classification.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Balanced data driven sparsity for unsupervised deep feature learning in remote sensing images classification.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Diversified deep structural metric learning for land use classification in remote sensing images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Unsupervised Representation Learning with Deep Convolutional Neural Network for Remote Sensing Images.
Proceedings of the Image and Graphics - 9th International Conference, 2017
2016
Integrating global and local visual features with semantic hierarchies for two-level image annotation.
Neurocomputing, 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
Active Learning With Gaussian Process Classifier for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2015
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Tag Refinement for User-Contributed Images via Graph Learning and Nonnegative Tensor Factorization.
IEEE Signal Process. Lett., 2015
Signal Process. Image Commun., 2015
An MRF Model-Based Active Learning Framework for the Spectral-Spatial Classification of Hyperspectral Imagery.
IEEE J. Sel. Top. Signal Process., 2015
Class-specific Gaussian-multinomial latent Dirichlet allocation for image annotation.
EURASIP J. Adv. Signal Process., 2015
An active learning method based on SVM classifier for hyperspectral images classification.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015
An active learning method based on Markov random fields for hyperspectral images classification.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015
2014
Jointly Learning the Hybrid CRF and MLR Model for Simultaneous Denoising and Classification of Hyperspectral Imagery.
IEEE Trans. Neural Networks Learn. Syst., 2014
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014
2013
IEEE Trans. Geosci. Remote. Sens., 2013
2012
Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012
2011
Modeling and Classifying Hyperspectral Imagery by CRFs With Sparse Higher Order Potentials.
IEEE Trans. Geosci. Remote. Sens., 2011
2010
IEEE Trans. Image Process., 2010
2008
Learning Sparse CRFs for Feature Selection and Classification of Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2008
Dynamic Learning of SMLR for Feature Selection and Classification of Hyperspectral Data.
IEEE Geosci. Remote. Sens. Lett., 2008
2007
A Multiple Conditional Random Fields Ensemble Model for Urban Area Detection in Remote Sensing Optical Images.
IEEE Trans. Geosci. Remote. Sens., 2007
Using Combination of Statistical Models and Multilevel Structural Information for Detecting Urban Areas From a Single Gray-Level Image.
IEEE Trans. Geosci. Remote. Sens., 2007
Proceedings of the Computational Intelligence and Security, International Conference, 2007
2006
Object Detection Based on Combination of Conditional Random Field and Markov Random Field.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006