Chengle Zhou

According to our database, Chengle Zhou authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-class multi-label classification of social media texts for typhoon damage assessment: a two-stage model fully integrating the outputs of the hidden layers of BERT.

Liwei Zou, Zhi He, Chengle Zhou, Wenbing Zhu

Int. J. Digit. Earth, December, 2024

RGB-to-HSV: A Frequency-Spectrum Unfolding Network for Spectral Super-Resolution of RGB Videos.

Chengle Zhou, Zhi He, Anjun Lou, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2024

Long-term series wetland classification of Guangdong-Hong Kong-Macao Greater Bay Area based on APSMnet.

Anjun Lou, Zhi He, Chengle Zhou, Guanglin Lai

Int. J. Appl. Earth Obs. Geoinformation, 2024

2023

Spectral-spatial sequence characteristics-based convolutional transformer for hyperspectral change detection.

Chengle Zhou, Qian Shi, Da He, Bing Tu, Haoyang Li, Antonio Plaza

CAAI Trans. Intell. Technol., December, 2023

2022

Multiattribute Sample Learning for Hyperspectral Image Classification Using Hierarchical Peak Attribute Propagation.

Bing Tu, Chengle Zhou, Wenlan Kuang, Siyuan Chen, Antonio Plaza

IEEE Trans. Instrum. Meas., 2022

Multi-resolution Pyramid Enhanced Non-local Feature Extraction for Hyperspectral Classification.

Bing Tu, Xiaolong Liao, Qianming Li, Chengle Zhou, Antonio Plaza

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Multiview Hierarchical Network for Hyperspectral and LiDAR Data Classification.

Yishu Peng, Yuwen Zhang, Bing Tu, Chengle Zhou, Qianming Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Optimized Spatial Gradient Transfer for Hyperspectral-LiDAR Data Classification.

Bing Tu, Yu Zhu, Chengle Zhou, Siyuan Chen, Antonio Plaza

Remote. Sens., 2022

Spatial Peak-Aware Collaborative Representation for Hyperspectral Imagery Classification.

Chengle Zhou, Bing Tu, Qi Ren, Siyuan Chen

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Feature Extraction via Joint Adaptive Structure Density for Hyperspectral Imagery Classification.

Bing Tu, Chengle Zhou, Jin Peng, Guoyun Zhang, Yishu Peng

IEEE Trans. Instrum. Meas., 2021

Feature Extraction Using Multitask Superpixel Auxiliary Learning for Hyperspectral Classification.

Bing Tu, Xiaolong Liao, Chengle Zhou, Siyuan Chen, Wei He

IEEE Trans. Instrum. Meas., 2021

Feature Extraction via 3-D Block Characteristics Sharing for Hyperspectral Image Classification.

Bing Tu, Chengle Zhou, Xiaolong Liao, Qianming Li, Yishu Peng

IEEE Trans. Geosci. Remote. Sens., 2021

Structure-Aware Multikernel Learning for Hyperspectral Image Classification.

Chengle Zhou, Bing Tu, Nanying Li, Wei He, Antonio Plaza

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Feature Extraction Using Multidimensional Spectral Regression Whitening for Hyperspectral Image Classification.

Bing Tu, Qi Ren, Chengle Zhou, Siyuan Chen, Wei He

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Spectral-Spatial Hyperspectral Classification via Structural-Kernel Collaborative Representation.

Bing Tu, Chengle Zhou, Xiaolong Liao, Guoyun Zhang, Yishu Peng

IEEE Geosci. Remote. Sens. Lett., 2021

2020

Hyperspectral Classification With Noisy Label Detection via Superpixel-to-Pixel Weighting Distance.

Bing Tu, Chengle Zhou, Danbing He, Siyuan Huang, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2020

Hyperspectral Anomaly Detection Using Dual Window Density.

Bing Tu, Xianchang Yang, Chengle Zhou, Danbing He, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2020

Hierarchical Structure-Based Noisy Labels Detection for Hyperspectral Image Classification.

Bing Tu, Chengle Zhou, Xiaolong Liao, Zhi Xu, Yishu Peng, Xianfeng Ou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Ensemble EMD-Based Spectral-Spatial Feature Extraction for Hyperspectral Image Classification.

Qianming Li, Bohong Zheng, Bing Tu, Jinping Wang, Chengle Zhou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Hyperspectral anomaly detection via density peak clustering.

Bing Tu, Xianchang Yang, Nanying Li, Chengle Zhou, Danbing He

Pattern Recognit. Lett., 2020

2019

Kernel Entropy Component Analysis-Based Robust Hyperspectral Image Supervised Classification.

Bing Tu, Chengle Zhou, Jin Peng, Wei He, Xianfeng Ou, Zhi Xu

Remote. Sens., 2019

Deep feature representation for anti-fraud system.

Bing Tu, Danbing He, Yongheng Shang, Chengle Zhou, Wujing Li

J. Vis. Commun. Image Represent., 2019

Density Peak Based Covariance Matrix for Hyperspectral Images Classification.

Bing Tu, Nanying Li, Wenlan Kuang, Jinping Wang, Chengle Zhou

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Hyperspectral Imagery Noisy Label Detection by Spectral Angle Local Outlier Factor.

Bing Tu, Chengle Zhou, Wenlan Kuang, Longyuan Guo, Xianfeng Ou

IEEE Geosci. Remote. Sens. Lett., 2018

An overview of face-related technologies.

Hongyan Fei, Bing Tu, Ququ Chen, Danbing He, Chengle Zhou, Yishu Peng

J. Vis. Commun. Image Represent., 2018