Niu L1, Zhong S1, Yang Z, et al. Mask refinement network for tooth segmentation on panoramic radiographs[J]. Dentomaxillofacial Radiology, 2024, 53(2): 127-136.
Zhang C, Zhong S*, Wan S*, et al. Easy-to-Hard Domain Adaptation with Human Interaction for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024. (Early Access)
Chang C I, Chen S, Zhong S, et al. Exploration of data scene characterization and 3D ROC evaluation for hyperspectral anomaly detection[J]. Remote Sensing, 2023, 16(1): 135.
S. Zhong, T. Zhou, S. Wan, J. Yang and C. Gong, “Dynamic Spectral-Spatial Poisson Learning for Hyperspectral Image Classification with Extremely Scarce Labels,” in IEEE Transactions on Geoscience and Remote Sensing. 2022
Wan S, Pan S, Zhong S, et al. Multi-level graph learning network for hyperspectral image classification[J]. Pattern Recognition, 2022, 129: 108705.
Zhang C, Zhong S*, Gong C. Feature Integration-Based Training for Cross-Domain Hyperspectral Image Classification[C]//IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2022: 3572-3575.
S. Zhong, S. Chen, C. Chang and Y. Zhang, “Fusion of Spectral-Spatial Classifiers for Hyperspectral Image Classification” in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 6, pp. 5008-5027, June 2021.
S. Chen, S. Zhong, B. Xue, X. Li, L. Zhao and C. -I. Chang, "Iterative Scale-Invariant Feature Transform for Remote Sensing Image Registration," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 3244-3265, April 2021.
C. -I. Chang, K. Y. Ma, C. -C. Liang, Y. -M. Kuo, S. Chen and S. Zhong, "Iterative Random Training Sampling Spectral Spatial Classification for Hyperspectral Images," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 3986-4007, 2020.
S. Zhong, Y. Zhang and C. Chang, " A Spectral-Spatial Feedback Close Network System for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 12, pp. 10056-10069, Dec. 2019.
D. Wu, Y. Zhang, Y. Chen and S. Zhong, "Vehicle Detection in High-Resolution Images Using Superpixel Segmentation and CNN Iteration Strategy," in IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 1, pp. 105-109, Jan. 2019.
S. Zhong, Y. Zhang, "An Iterative Training Sample Updating Approach for Domain Adaptation in Hyperspectral Image Classification," in IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 10, pp. 1821-1825, Oct. 2021.
S. Zhong, C. Chang, J. Li, et al. Class feature weighted hyperspectral image classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(12): 4728-4745.
S. Zhong, C. Chang and Y. Zhang, "Iterative Edge Preserving Filtering Approach to Hyperspectral Image Classification," in IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 1, pp. 90-94, Jan. 2019.
Xue B, Zhong S, Shang X, et al. Unsupervised iterative CEM-clustering based multiple Gaussian feature extraction for hyperspectral image classification. Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV. International Society for Optics and Photonics, 2019, 10986: 109861M.
Guo Y, Zhang J, Zhong S. Feature extraction and scene classification for remote sensing image based on sparse representation. Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV. International Society for Optics and Photonics, 2019, 10986: 109861U.
Xue B, Shang X, Zhong S, et al. Iterative constrained energy minimization convolutional neural network for hyperspectral image classification. Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV. International Society for Optics and Photonics, 2019, 10986: 109861L.
Feng Z, Zhang J, Sun Q and Zhong S. Hyperspectral anomaly detection algorithm based on non-negative sparsity score estimation. Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV. International Society for Optics and Photonics, 2019, 10986: 109861V.
B. Xue, S. Chen, C. -C. Liang, S. Zhong, P. F. Hu and C. -I. Chang, "Urban Area Impervious Surface Estimation by Subpixel Unmixing," 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019, pp. 1895-1898.
S. Zhong, C. Chang and Y. Zhang, "Iterative Support Vector Machine for Hyperspectral Image Classification," 2018 25th IEEE International Conference on Image Processing (ICIP), Athens, 2018, pp. 3309-3312.
S. Zhong, Y. Zhang, Y. Chen and D. Wu, "Combining Component Substitution and Multiresolution Analysis: A Novel Generalized BDSD Pansharpening Algorithm," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 6, pp. 2867-2875, June 2017.
Miao X, Zhang Y, Zhang J and Zhong S. Object parameters optimization on pure and mixed pixels in thermal hyperspectral imagery. Infrared Remote Sensing and Instrumentation XXV. International Society for Optics and Photonics, 2017, 10403: 104030O.
S. Zhong and Y. Zhang, "Anomaly detection based on quadratic modeling of hyperspectral imagery," 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, 2016, pp. 5864-5867.
Wu D, Zhang Y, Zhong S W, et al. Hyperspectral image spectral–spatial classification using local tensor discriminant feature extraction. Journal of Applied Remote Sensing, 2016, 10(4): 046015.
S. Zhong and Y. Zhang, "Fusion of multispectral and panchromatic images based on a novel inter-band structure model," 2015 IEEE International Conference on Image Processing (ICIP), Quebec City, QC, 2015, pp. 457-461.
Wang Y, Zhong S, Zhang Y. An improved full automated endmember extraction algorithm based on endmember independence Imaging Spectrometry XX. SPIE, 2015, 9611: 250-255.
S. Zhong, Y. Chen and Y. Zhang, "Spatial information aided fine classification of hyperspectral images with similar spectrums," 2014 IEEE Geoscience and Remote Sensing Symposium (IGARSS), Quebec City, QC, 2014, pp. 2882-2885.