Chengle Zhou

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Covariance Matrix

Hyperspectral Image Classification

Top Venues

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

IEEE Trans. Geosci. Remote. Sens.

IEEE Geosci. Remote. Sens. Lett.

IEEE Trans. Instrum. Meas.

Publications

Chengle Zhou, Zhi He, Anjun Lou, Antonio Plaza
RGB-to-HSV: A Frequency-Spectrum Unfolding Network for Spectral Super-Resolution of RGB Videos. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Anjun Lou, Zhi He, Chengle Zhou, Guanglin Lai
Long-term series wetland classification of Guangdong-Hong Kong-Macao Greater Bay Area based on APSMnet. Int. J. Appl. Earth Obs. Geoinformation 128 (2024)
Chengle Zhou, Qian Shi, Da He, Bing Tu, Haoyang Li, Antonio Plaza
Spectral-spatial sequence characteristics-based convolutional transformer for hyperspectral change detection. CAAI Trans. Intell. Technol. 8 (4) (2023)
Bing Tu, Chengle Zhou, Wenlan Kuang, Siyuan Chen, Antonio Plaza
Multiattribute Sample Learning for Hyperspectral Image Classification Using Hierarchical Peak Attribute Propagation. IEEE Trans. Instrum. Meas. 71 (2022)
Bing Tu, Yu Zhu, Chengle Zhou, Siyuan Chen, Antonio Plaza
Optimized Spatial Gradient Transfer for Hyperspectral-LiDAR Data Classification. Remote. Sens. 14 (8) (2022)
Bing Tu, Xiaolong Liao, Qianming Li, Chengle Zhou, Antonio Plaza
Multi-resolution Pyramid Enhanced Non-local Feature Extraction for Hyperspectral Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Yishu Peng, Yuwen Zhang, Bing Tu, Chengle Zhou, Qianming Li
Multiview Hierarchical Network for Hyperspectral and LiDAR Data Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Chengle Zhou, Bing Tu, Qi Ren, Siyuan Chen
Spatial Peak-Aware Collaborative Representation for Hyperspectral Imagery Classification. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Bing Tu, Qi Ren, Chengle Zhou, Siyuan Chen, Wei He
Feature Extraction Using Multidimensional Spectral Regression Whitening for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Bing Tu, Xiaolong Liao, Chengle Zhou, Siyuan Chen, Wei He
Feature Extraction Using Multitask Superpixel Auxiliary Learning for Hyperspectral Classification. IEEE Trans. Instrum. Meas. 70 (2021)
Bing Tu, Chengle Zhou, Jin Peng, Guoyun Zhang, Yishu Peng
Feature Extraction via Joint Adaptive Structure Density for Hyperspectral Imagery Classification. IEEE Trans. Instrum. Meas. 70 (2021)
Chengle Zhou, Bing Tu, Nanying Li, Wei He, Antonio Plaza
Structure-Aware Multikernel Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Bing Tu, Chengle Zhou, Xiaolong Liao, Qianming Li, Yishu Peng
Feature Extraction via 3-D Block Characteristics Sharing for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59 (12) (2021)
Bing Tu, Chengle Zhou, Xiaolong Liao, Guoyun Zhang, Yishu Peng
Spectral-Spatial Hyperspectral Classification via Structural-Kernel Collaborative Representation. IEEE Geosci. Remote. Sens. Lett. 18 (5) (2021)
Qianming Li, Bohong Zheng, Bing Tu, Jinping Wang, Chengle Zhou
Ensemble EMD-Based Spectral-Spatial Feature Extraction for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Bing Tu, Xianchang Yang, Nanying Li, Chengle Zhou, Danbing He
Hyperspectral anomaly detection via density peak clustering. Pattern Recognit. Lett. 129 (2020)
Bing Tu, Chengle Zhou, Danbing He, Siyuan Huang, Antonio Plaza
Hyperspectral Classification With Noisy Label Detection via Superpixel-to-Pixel Weighting Distance. IEEE Trans. Geosci. Remote. Sens. 58 (6) (2020)
Bing Tu, Xianchang Yang, Chengle Zhou, Danbing He, Antonio Plaza
Hyperspectral Anomaly Detection Using Dual Window Density. IEEE Trans. Geosci. Remote. Sens. 58 (12) (2020)
Bing Tu, Chengle Zhou, Xiaolong Liao, Zhi Xu, Yishu Peng, Xianfeng Ou
Hierarchical Structure-Based Noisy Labels Detection for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Bing Tu, Nanying Li, Wenlan Kuang, Jinping Wang, Chengle Zhou
Density Peak Based Covariance Matrix for Hyperspectral Images Classification. IGARSS (2019)
Bing Tu, Chengle Zhou, Jin Peng, Wei He, Xianfeng Ou, Zhi Xu
Kernel Entropy Component Analysis-Based Robust Hyperspectral Image Supervised Classification. Remote. Sens. 11 (23) (2019)
Bing Tu, Danbing He, Yongheng Shang, Chengle Zhou, Wujing Li
Deep feature representation for anti-fraud system. J. Vis. Commun. Image Represent. 59 (2019)
Bing Tu, Chengle Zhou, Wenlan Kuang, Longyuan Guo, Xianfeng Ou
Hyperspectral Imagery Noisy Label Detection by Spectral Angle Local Outlier Factor. IEEE Geosci. Remote. Sens. Lett. 15 (9) (2018)
Hongyan Fei, Bing Tu, Ququ Chen, Danbing He, Chengle Zhou, Yishu Peng
An overview of face-related technologies. J. Vis. Commun. Image Represent. 56 (2018)