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ORCIDChengle Zhou
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2020 – today
- 2024
[j24]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: 103765 (2024)- [j23]Liwei Zou, Zhi He, Chengle Zhou, Wenbing Zhu:
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. Int. J. Digit. Earth 17(1) (2024) - [j22]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: 1-18 (2024) - 2023
- [j21]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): 1237-1257 (2023) - 2022
- [j20]Chengle Zhou, Bing Tu, Qi Ren, Siyuan Chen:
Spatial Peak-Aware Collaborative Representation for Hyperspectral Imagery Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j19]Bing Tu, Yu Zhu, Chengle Zhou, Siyuan Chen, Antonio Plaza:
Optimized Spatial Gradient Transfer for Hyperspectral-LiDAR Data Classification. Remote. Sens. 14(8): 1814 (2022) - [j18]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: 1454-1469 (2022) - [j17]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: 5865-5879 (2022) - [j16]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: 1-17 (2022) - 2021
- [j15]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): 861-865 (2021) - [j14]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: 8326-8340 (2021) - [j13]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: 9837-9854 (2021) - [j12]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): 10503-10518 (2021) - [j11]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: 1-16 (2021) - [j10]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: 1-16 (2021) - 2020
- [j9]Bing Tu, Xianchang Yang, Nanying Li, Chengle Zhou, Danbing He:
Hyperspectral anomaly detection via density peak clustering. Pattern Recognit. Lett. 129: 144-149 (2020) - [j8]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: 2183-2199 (2020) - [j7]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: 5134-5148 (2020) - [j6]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): 4116-4131 (2020) - [j5]Bing Tu, Xianchang Yang, Chengle Zhou, Danbing He, Antonio Plaza:
Hyperspectral Anomaly Detection Using Dual Window Density. IEEE Trans. Geosci. Remote. Sens. 58(12): 8503-8517 (2020)
2010 – 2019
- 2019
- [j4]Bing Tu, Danbing He, Yongheng Shang, Chengle Zhou, Wujing Li:
Deep feature representation for anti-fraud system. J. Vis. Commun. Image Represent. 59: 253-256 (2019) - [j3]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): 2823 (2019) - [c1]Bing Tu, Nanying Li, Wenlan Kuang, Jinping Wang, Chengle Zhou:
Density Peak Based Covariance Matrix for Hyperspectral Images Classification. IGARSS 2019: 3301-3304 - 2018
- [j2]Hongyan Fei, Bing Tu, Ququ Chen, Danbing He, Chengle Zhou, Yishu Peng:
An overview of face-related technologies. J. Vis. Commun. Image Represent. 56: 139-143 (2018) - [j1]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): 1417-1421 (2018)
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