Ping Zhong

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 67

Top Topics

Hyperspectral Image Classification

Top Venues

IEEE Trans. Geosci. Remote. Sens.

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Xikun Hu, Wenlin Liu, Hao Wen, Ka-Veng Yuen, Tian Jin, Alberto Costa Nogueira Junior, Ping Zhong
AF-Net: An Active Fire Detection Model Using Improved Object-Contextual Representations on Unbalanced UAV Datasets. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Hao Wen, Xikun Hu, Ping Zhong
DSRNet: Diagonal Subsampling Reconstruction Network for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Xikun Hu, Hao Wen, Puzhao Zhang, Ka-Veng Yuen, Ping Zhong
Near Real-Time Burned Area Progression Mapping With Multispectral Data Using Ensemble Learning. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Yu Zhang, Zhiqiang Gong, Wenlin Liu, Hao Wen, Pengcheng Wan, Jiahao Qi, Xikun Hu, Ping Zhong
Empowering Physical Attacks With Jacobian Matrix Regularization Against ViT-Based Detectors in UAV Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Zhiqiang Gong, Xian Zhou, Wen Yao, Xiaohu Zheng, Ping Zhong
HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Yu Zhang, Zhiqiang Gong, Hao Wen, Xikun Hu, Xiaoyan Xia, Hejun Jiang, Ping Zhong
Pattern Corruption-Assisted Physical Attacks Against Object Detection in UAV Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Dehui Zhu, Ping Zhong, Bo Du, Liangpei Zhang
Attention-based Sparse and Collaborative Spectral Abundance Learning for Hyperspectral Subpixel Target Detection. Neural Networks 178 (2024)
Hao Wen, Xikun Hu, Ping Zhong
Detecting rice straw burning based on infrared and visible information fusion with UAV remote sensing. Comput. Electron. Agric. 222 (2024)
Mingyang Du, Ping Zhong, Xiaohao Cai, Daping Bi, Aiqi Jing
Robust Bayesian attention belief network for radar work mode recognition. Digit. Signal Process. 133 (2023)
Yu Zhang, Zhiqiang Gong, Yichuang Zhang, Kangcheng Bin, Yongqian Li, Jiahao Qi, Hao Wen, Ping Zhong
Boosting transferability of physical attack against detectors by redistributing separable attention. Pattern Recognit. 138 (2023)
Xingyue Liu, Jiahao Qi, Chen Chen, Kangcheng Bin, Ping Zhong
Beyond Sharing Weights in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification. CoRR (2023)
Aihuan Yao, Jiahao Qi, Ping Zhong
Self-Aligned Spatial Feature Extraction Network for UAV Vehicle Reidentification. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Jinyue Jiao, Zhiqiang Gong, Ping Zhong
Dual-Branch Fourier-Mixing Transformer Network for Hyperspectral Target Detection. Remote. Sens. 15 (19) (2023)
Jinyue Jiao, Zhiqiang Gong, Ping Zhong
Triplet Spectralwise Transformer Network for Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Zhiqiang Gong, Ping Zhong, Wen Yao, Weien Zhou, Jiahao Qi, Panhe Hu
A CNN with noise inclined module and denoise framework for hyperspectral image classification. IET Image Process. 17 (9) (2023)
Zhiqiang Gong, Xian Zhou, Wen Yao, Xiaohu Zheng, Ping Zhong
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding. CoRR (2023)
Zhiqiang Gong, Ping Zhong, Jiahao Qi, Panhe Hu
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification. CoRR (2022)
Sheng Wan, Shirui Pan, Ping Zhong, Xiaojun Chang, Jian Yang, Chen Gong
Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Aihuan Yao, Mengmeng Huang, Jiahao Qi, Ping Zhong
Attention Mask-Based Network With Simple Color Annotation for UAV Vehicle Re-Identification. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Aihuan Yao, Jiahao Qi, Ping Zhong
Self-aligned Spatial Feature Extraction Network for UAV Vehicle Re-identification. CoRR (2022)
Jiahao Qi, Zhiqiang Gong, Xingyue Liu, Kangcheng Bin, Chen Chen, Yongqian Li, Wei Xue, Yu Zhang, Ping Zhong
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders. CoRR (2022)
Jiahao Qi, Xingyue Liu, Ping Zhong
Delve Into Hyperspectral Anomaly Detection Via Bayesian Gaussian Tensor Decomposition. WHISPERS (2022)
Yu Zhang, Zhiqiang Gong, Yichuang Zhang, Yongqian Li, Kangcheng Bin, Jiahao Qi, Wei Xue, Ping Zhong
Transferable Physical Attack against Object Detection with Separable Attention. CoRR (2022)
Zhiqiang Gong, Weidong Hu, Xiaoyong Du, Ping Zhong, Panhe Hu
Deep Manifold Embedding for Hyperspectral Image Classification. IEEE Trans. Cybern. 52 (10) (2022)
Yichuang Zhang, Yu Zhang, Jiahao Qi, Kangcheng Bin, Hao Wen, Xunqian Tong, Ping Zhong
Adversarial Patch Attack on Multi-Scale Object Detection for UAV Remote Sensing Images. Remote. Sens. 14 (21) (2022)
Mingyang Du, Ping Zhong, Xiaohao Cai, Daping Bi
DNCNet: Deep Radar Signal Denoising and Recognition. IEEE Trans. Aerosp. Electron. Syst. 58 (4) (2022)
Mingyang Du, Ping Zhong, Xiaohao Cai, Daping Bi, Zhifei Li
Balanced neural architecture search and optimization for specific emitter identification. RFID-TA (2022)
Jiahao Qi, Wei Xue, Aihuan Yao, Ping Zhong
Unmixing-Based Underwater Target Detection for Hyperspectral Imagery. IGARSS (2021)
Jiahao Qi, Pengcheng Wan, Zhiqiang Gong, Wei Xue, Aihuan Yao, Xingyue Liu, Ping Zhong
A Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery. Remote. Sens. 13 (9) (2021)
Wei Xue, Jiahao Qi, Guoqing Shao, Zixuan Xiao, Yu Zhang, Ping Zhong
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. 14 (2021)
Jiahao Qi, Wei Xue, Zhiqiang Gong, Shaoquan Zhang, Aihuan Yao, Ping Zhong
Hybrid Sequence Networks for Unsupervised Water Properties Estimation From Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Jiahao Qi, Zhiqiang Gong, Aihuan Yao, Xingyue Liu, Yongqian Li, Yichuang Zhang, Ping Zhong
Bathymetric-Based Band Selection Method for Hyperspectral Underwater Target Detection. Remote. Sens. 13 (19) (2021)
Zhiqiang Gong, Ping Zhong, Weidong Hu
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Wei Xue, Ping Zhong, Wensheng Zhang, Gaohang Yu, Yebin Chen
Sample-based online learning for bi-regular hinge loss. Int. J. Mach. Learn. Cybern. 12 (6) (2021)
Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. IEEE Trans. Geosci. Remote. Sens. 59 (1) (2021)
Jiahao Qi, Zhiqiang Gong, Wei Xue, Xingyue Liu, Aihuan Yao, Ping Zhong
An Unmixing-Based Network for Underwater Target Detection From Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Zixuan Xiao, Jiahao Qi, Wei Xue, Ping Zhong
Few-Shot Object Detection With Self-Adaptive Attention Network for Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58 (5) (2020)
Zixuan Xiao, Ping Zhong, Yuan Quan, Xuping Yin, Wei Xue
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images. CoRR (2020)
Zixuan Xiao, Wei Xue, Ping Zhong
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images. CoRR (2020)
Ping Zhong, Zhiqiang Gong, Jiaxin Shan
Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations. IEEE Trans. Neural Networks Learn. Syst. 31 (1) (2020)
Zhiqiang Gong, Ping Zhong, Weidong Hu, Yuming Hua
Joint Learning of the Center Points and Deep Metrics for Land-Use Classification in Remote Sensing. Remote. Sens. 11 (1) (2019)
Zhiqiang Gong, Ping Zhong, Weidong Hu
Diversity in Machine Learning. IEEE Access 7 (2019)
Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. CoRR (2019)
Zhiqiang Gong, Ping Zhong, Weidong Hu, Fang Liu, Bingwei Hui
An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation. CoRR (2019)
Zhiqiang Gong, Ping Zhong, Weidong Hu, Zixuan Xiao, Xuping Yin
A novel statistical metric learning for hyperspectral image classification. CoRR (2019)
Zhiqiang Gong, Ping Zhong, Yang Yu, Weidong Hu, Shutao Li
A CNN With Multiscale Convolution and Diversified Metric for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57 (6) (2019)
Zhiqiang Gong, Ping Zhong, Weidong Hu
Unsupervised Deep Feature Learning With Iteratively Refined Pseudo Classes for Scene Representation. IEEE Access 7 (2019)
Zhiqiang Gong, Weidong Hu, Xiaoyong Du, Ping Zhong, Panhe Hu
Deep Manifold Embedding for Hyperspectral Image Classification. CoRR (2019)
Zhiqiang Gong, Ping Zhong, Weidong Hu, Fang Liu, Bingwei Hui
An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation. IJCNN (2019)
Zhiqiang Gong, Ping Zhong, Weidong Hu
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification. CoRR (2019)
Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. CoRR (2019)
Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu
A Diversified Deep Ensemble for Hyperspectral Image Classification. WHISPERS (2018)
Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu
Diversifying Deep Multiple Choices for Remote Sensing Scene Classification. IGARSS (2018)
Zhiqiang Gong, Ping Zhong, Yang Yu, Weidong Hu
Diversity-Promoting Deep Structural Metric Learning for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 56 (1) (2018)
Jiaxin Shan, Zhiqiang Gong, Ping Zhong
A Bag-Level Data Imbalanced Multiple Instance Hyperspectral Target Representation. WHISPERS (2018)
Yang Yu, Zhiqiang Gong, Cheng Wang, Ping Zhong
An Unsupervised Convolutional Feature Fusion Network for Deep Representation of Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 15 (1) (2018)
Zhiqiang Gong, Ping Zhong, Weidong Hu
Diversity in Machine Learning. CoRR (2018)
Yuting Chen, Lihua Liu, Zhiqiang Gong, Ping Zhong
Learning CNN to Pair UAV Video Image Patches. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (12) (2017)
Zhiqiang Gong, Ping Zhong, Yang Yu, Weidong Hu
Diversified deep structural metric learning for land use classification in remote sensing images. IGARSS (2017)
Yang Yu, Zhiqiang Gong, Ping Zhong, Jiaxin Shan
Unsupervised Representation Learning with Deep Convolutional Neural Network for Remote Sensing Images. ICIG (2) (2017)
Yang Yu, Ping Zhong, Zhiqiang Gong
Balanced data driven sparsity for unsupervised deep feature learning in remote sensing images classification. IGARSS (2017)
Ping Zhong, Zhiqiang Gong, Shutao Li, Carola-Bibiane Schönlieb
Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55 (6) (2017)
Zhiqiang Gong, Ping Zhong, Yang Yu, Jiaxin Shan, Weidong Hu
Joint learning of deep multi-scale features and diversified metrics for hyperspectral image classification. MLSP (2017)
Zhiming Qian, Ping Zhong, Jia Chen
Integrating global and local visual features with semantic hierarchies for two-level image annotation. Neurocomputing 171 (2016)
Shujin Sun, Ping Zhong, Huaitie Xiao, Yuting Chen, Zhiqiang Gong, Runsheng Wang
Spectral-spatial classification of hyperspectral images with Gaussian process. IGARSS (2016)
Ping Zhong, Zhiqiang Gong, Carola-Bibiane Schönlieb
A DBN-crf for spectral-spatial classification of hyperspectral data. ICPR (2016)
Zhiming Qian, Ping Zhong, Runsheng Wang
Tag Refinement for User-Contributed Images via Graph Learning and Nonnegative Tensor Factorization. IEEE Signal Process. Lett. 22 (9) (2015)
Ping Zhong, Peng Ni, Runsheng Wang
Learning to Diversify Patch-Based Priors for Remote Sensing Image Restoration. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8 (11) (2015)
Zhiming Qian, Ping Zhong, Runsheng Wang
Personalized image annotation via class-specific cross-domain learning. Signal Process. Image Commun. 34 (2015)
Shujin Sun, Ping Zhong, Huaitie Xiao, Runsheng Wang
An MRF Model-Based Active Learning Framework for the Spectral-Spatial Classification of Hyperspectral Imagery. IEEE J. Sel. Top. Signal Process. 9 (6) (2015)
Shujin Sun, Ping Zhong, Huaitie Xiao, Fang Liu, Runsheng Wang
An active learning method based on SVM classifier for hyperspectral images classification. WHISPERS (2015)
Shujin Sun, Ping Zhong, Huaitie Xiao, Runsheng Wang
Active Learning With Gaussian Process Classifier for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 53 (4) (2015)
Shujin Sun, Ping Zhong, Huaitie Xiao, Fang Liu, Runsheng Wang
An active learning method based on Markov random fields for hyperspectral images classification. WHISPERS (2015)
Zhiming Qian, Ping Zhong, Runsheng Wang
Class-specific Gaussian-multinomial latent Dirichlet allocation for image annotation. EURASIP J. Adv. Signal Process. 2015 (2015)
Ping Zhong, Runsheng Wang
Jointly Learning the Hybrid CRF and MLR Model for Simultaneous Denoising and Classification of Hyperspectral Imagery. IEEE Trans. Neural Networks Learn. Syst. 25 (7) (2014)
Zhiming Qian, Ping Zhong, Runsheng Wang
Tensor Representation for Image Annotation with Collective Groups. ICIMCS (2014)
Zhiming Qian, Ping Zhong, Runsheng Wang
Hierarchical Unsupervised Object Segmentation with Manifold Regularization. ICIMCS (2014)
Ping Zhong, Runsheng Wang
Multiple-Spectral-Band CRFs for Denoising Junk Bands of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 51 (4-2) (2013)
Ping Zhong, Zhiming Qian, Runsheng Wang
Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery. SSPR/SPR (2012)
Ping Zhong, Runsheng Wang
Modeling and Classifying Hyperspectral Imagery by CRFs With Sparse Higher Order Potentials. IEEE Trans. Geosci. Remote. Sens. 49 (2) (2011)
Ping Zhong, Runsheng Wang
Learning Conditional Random Fields for Classification of Hyperspectral Images. IEEE Trans. Image Process. 19 (7) (2010)
Ping Zhong, Runsheng Wang
Learning Sparse CRFs for Feature Selection and Classification of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 46 (12) (2008)
Ping Zhong, Peng Zhang, Runsheng Wang
Dynamic Learning of SMLR for Feature Selection and Classification of Hyperspectral Data. IEEE Geosci. Remote. Sens. Lett. 5 (2) (2008)
Ping Zhong, Fang Liu, Runsheng Wang
A New MRF Framework with Dual Adaptive Contexts for Image Segmentation. CIS (2007)
Ping Zhong, Runsheng Wang
Using Combination of Statistical Models and Multilevel Structural Information for Detecting Urban Areas From a Single Gray-Level Image. IEEE Trans. Geosci. Remote. Sens. 45 (5-2) (2007)
Ping Zhong, Runsheng Wang
A Multiple Conditional Random Fields Ensemble Model for Urban Area Detection in Remote Sensing Optical Images. IEEE Trans. Geosci. Remote. Sens. 45 (12-1) (2007)
Ping Zhong, Runsheng Wang
Object Detection Based on Combination of Conditional Random Field and Markov Random Field. ICPR (3) (2006)