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Shengwei Zhong 0001
Person information
- affiliation: Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- affiliation: University of Maryland, Baltimore County, UMBC, Remote Sensing Signal and Image Processing Laboratory, RSSIPL, MD, USA
- affiliation (PhD 2020): Harbin Institute of Technology, electronics and communication engineering, China
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2020 – today
- 2024
- [j14]Haiyang Luo, Xueyi Qiao, Yongming Xu, Shengwei Zhong, Chen Gong:
Domain-Collaborative Contrastive Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j13]Chein-I Chang, Shuhan Chen, Shengwei Zhong, Yidan Shi:
Exploration of Data Scene Characterization and 3D ROC Evaluation for Hyperspectral Anomaly Detection. Remote. Sens. 16(1): 135 (2024) - [j12]Cheng Zhang, Shengwei Zhong, Sheng Wan, Chen Gong:
Easy-to-Hard Domain Adaptation With Human Interaction for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [c7]Shengwei Zhong:
Soft Curriculum Generator-Based Iterative Convolutional Neural Network for Hyperspercral Classification. IGARSS 2024: 9170-9173 - 2022
- [j11]Sheng Wan, Shirui Pan, Shengwei Zhong, Jie Yang, Jian Yang, Yibing Zhan, Chen Gong:
Multi-level graph learning network for hyperspectral image classification. Pattern Recognit. 129: 108705 (2022) - [j10]Shengwei Zhong, Tao Zhou, Sheng Wan, Jian Yang, Chen Gong:
Dynamic Spectral-Spatial Poisson Learning for Hyperspectral Image Classification With Extremely Scarce Labels. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c6]Cheng Zhang, Shengwei Zhong, Chen Gong:
Feature Integration-Based Training for Cross-Domain Hyperspectral Image Classification. IGARSS 2022: 3572-3575 - 2021
- [j9]Shengwei Zhong, Ye Zhang:
An Iterative Training Sample Updating Approach for Domain Adaptation in Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18(10): 1821-1825 (2021) - [j8]Shuhan Chen, Shengwei Zhong, Bai Xue, Xiaorun Li, Liaoying Zhao, Chein-I Chang:
Iterative Scale-Invariant Feature Transform for Remote Sensing Image Registration. IEEE Trans. Geosci. Remote. Sens. 59(4): 3244-3265 (2021) - [j7]Shengwei Zhong, Shuhan Chen, Chein-I Chang, Ye Zhang:
Fusion of Spectral-Spatial Classifiers for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(6): 5008-5027 (2021) - 2020
- [j6]Chein-I Chang, Kenneth-Yeonkong Ma, Chia-Chen Liang, Yi-Mei Kuo, Shuhan Chen, Shengwei Zhong:
Iterative Random Training Sampling Spectral Spatial Classification for Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3986-4007 (2020)
2010 – 2019
- 2019
- [j5]Shengwei Zhong, Chein-I Chang, Ye Zhang:
Iterative Edge Preserving Filtering Approach to Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 16(1): 90-94 (2019) - [j4]Di Wu, Ye Zhang, Yushi Chen, Shengwei Zhong:
Vehicle Detection in High-Resolution Images Using Superpixel Segmentation and CNN Iteration Strategy. IEEE Geosci. Remote. Sens. Lett. 16(1): 105-109 (2019) - [j3]Shengwei Zhong, Chein-I Chang, Jiaojiao Li, Xiao-Di Shang, Shuhan Chen, Meiping Song, Ye Zhang:
Class Feature Weighted Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 4728-4745 (2019) - [j2]Shengwei Zhong, Ye Zhang, Chein-I Chang:
A Spectral-Spatial Feedback Close Network System for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(12): 10056-10069 (2019) - [c5]Bai Xue, Shuhan Chen, Chia-Chen Liang, Shengwei Zhong, Peter Fu-Ming Hu, Chein-I Chang:
Urban Area Impervious Surface Estimation by Subpixel Unmixing. IGARSS 2019: 1895-1898 - 2018
- [c4]Shengwei Zhong, Chein-I Chang, Ye Zhang:
Iterative Support Vector Machine for Hyperspectral Image Classification. ICIP 2018: 3309-3312 - 2017
- [j1]Shengwei Zhong, Ye Zhang, Yushi Chen, Di Wu:
Combining Component Substitution and Multiresolution Analysis: A Novel Generalized BDSD Pansharpening Algorithm. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(6): 2867-2875 (2017) - 2016
- [c3]Shengwei Zhong, Ye Zhang:
Anomaly detection based on quadratic modeling of hyperspectral imagery. IGARSS 2016: 5864-5867 - 2015
- [c2]Shengwei Zhong, Ye Zhang:
Fusion of multispectral and panchromatic images based on a novel inter-band structure model. ICIP 2015: 457-461 - 2014
- [c1]Shengwei Zhong, Yushi Chen, Ye Zhang:
Spatial information aided fine classification of hyperspectral images with similar spectrums. IGARSS 2014: 2882-2885
Coauthor Index
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