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尚晓笛 博士研究生四年级     进组时间: 2018

发表论文:

1. X. Shang, M. Song, and C.-I Chang, “Multi-Spatial Filtering Module Cascaded System for Hyperspectral Image Classification”, IEEE Trans. Geosci. Remote Sens., Early Access, 2021.(CODE)

2. X. Shang, M. Song, Y. Wang, C. Yu, H. Yu, F. Li and C.-I Chang, “Target-Constrained Interference-Minimized Band Selection for Hyperspectral Target Detection,” IEEE Trans. Geosci. Remote Sens., Early Access, 2020.

3. X. Shang, M. Song and C. Chang, “An Iterative Random Training Sample Selection Approach to Constrained Energy Minimization for Hyperspectral Image Classification,” IEEE Geosci. Remote Sens. Lett., Early Access, 2020.

4.H. Yu, X. Shang*, M. Song et al., “Union of Class-Dependent Collaborative Representation Based on Maximum Margin Projection for Hyperspectral Imagery Classification,” IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 14, pp. 553-566, 2021.

5. M. Song, X. Shang and C. Chang, “3-D Receiver Operating Characteristic Analysis for Hyperspectral Image Classification,” IEEE Trans. Geosci. Remote Sens., vol. 58, no. 11, pp. 8093-8115, Nov. 2020.

6. M. Song, X. Shang, Y. Wang, C. Yu and C. Chang, “Class Information-Based Band Selection for Hyperspectral Image Classification,” IEEE Trans. Geosci. Remote Sens., vol. 57, no. 11, pp. 8394-8416, Nov. 2019, doi: 10.1109/TGRS.2019.2920891.

7. H. Yu, X. Shang, X. Zhang, L. Gao, M. Song and J. Hu, “Hyperspectral Image Classification Based on Adjacent Constraint Representation,” IEEE Geosci. Remote Sens. Lett., Early Access, 2020.

8. X. Fu, X. Shang, X. Sun, H. Yu, M. Song and C.-I Chang, “Underwater Hyperspectral Target Detection with Band Selection,” Remote Sens., vol.12, no.7, pp.1056, 2020.

9. C. Chang, H. Cao, S. Chen, X. Shang, C. Yu and M. Song, “Orthogonal Subspace Projection-Based Go-Decomposition Approach to Finding Low-Rank and Sparsity Matrices for Hyperspectral Anomaly Detection,” IEEE Trans. Geosci. Remote Sens., Early Access, 2020.

10. S. Zhong, C.-I Chang, J. Li, X. Shang, S. Chen, M. Song and Y Zhang, “Class Feature Weighted Hyperspectral Image Classification,” IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 12, no. 12, pp. 4728-4745, Dec. 2019.

11. E. Zhao, L. Li, M. Song, Y. Cao, S. Chen, X. Shang, F. Li, S. Dai and H. Bao, “Research on Image Registration Algorithm and Its Application in Photovoltaic Images,” IEEE Journal of Photovoltaics, vol. 10, no.2, pp. 595-606, March 2020.

12. X. Shang, M. Song and C. Yu, “Hyperspectral Image Classification With Background,” 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 2714-2717. (EI)

13. X. Shang et al, “Hyperspectral Target Detection on Target-constrained Interference-minimized Band Selection”, 2020 IEEE International Geoscience and Remote Sensing Symposium. (OralEI 源待检索)

14. H. Cao, X. Shang, C. Yu, M. Song and C.-I Chang, “Hyperspectral Classification using Low Rank and Sparsity Matrices Decomposition”, 2020 IEEE International Geoscience and Remote Sensing Symposium. (EI源待检索)

15. H. Cao, X. Shang, Y. Wang, M. Song and C.-I Chang, “Go Decomposition (GODEC) Approach to Finding Low Rank and Sparsity Matrices For Hyperspectral Target Detection”, 2020 IEEE International Geoscience and Remote Sensing Symposium. (EI 源待检索)

16. F. Li, H. Cao, X. Shang, M. Song, C. Yu and C. Chang, “Uniform Band Interval Divided Band Selection,” 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 3816-3819. (EI)