120
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Clustering information-constrained 3D U-Net subspace clustering for hyperspectral image

, , , , , & show all
Pages 1131-1141 | Received 27 Mar 2022, Accepted 24 Sep 2022, Published online: 10 Oct 2022

References

  • Bruton, J., and H. Wang. 2021. “Dictionary Learning for Clustering on Hyperspectral Images.” Signal Image and Video Processing 15 (2): 255–261. doi:10.1007/s11760-020-01750-z.
  • Chen, Y., S. Ma, X. Chen, and P. Ghamisi. 2017. “Hyperspectral Data Clustering Based on Density Analysis Ensemble.” Remote Sensing Letters 8 (2): 194–203. doi:10.1080/2150704X.2016.1249295.
  • Çiçek, Ö., A. Abdulkadir, S. S. Lienkamp, T. Brox, and O. Ronneberger. 2016. “3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation.” Proceddings of International Conference on Medical Image Computing and Computer-Assisted Intervention, Athens, Greece, 424–432.
  • Elhamifar, E., and R. Vidal. 2013. “Sparse Subspace Clustering: Algorithm, Theory, and Applications.” IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (11): 2765–2781. doi:10.1109/TPAMI.2013.57.
  • Ghorbanian, A., and A. Mohammadzadeh. 2018. “An Unsupervised Feature Extraction Method Based on Band Correlation Clustering for Hyperspectral Image Classification Using Limited Training Samples.” Remote Sensing Letters 9 (10): 982–991. doi:10.1080/2150704X.2018.1500723.
  • Hartigan, J. A., and M. A. Wong. 1979. “Algorithm as 136: A K-Means Clustering Algorithm.” Applied Statistics 28 (1): 100–108. doi:10.2307/2346830.
  • Hinojosa, C., F. Rojas, S. Castillo, and H. Arguello. 2021. “Hyperspectral Image Segmentation Using 3D Regularized Subspace Clustering Model.” Journal of Applied Remote Sensing 15 (1): 1–17. doi:10.1117/1.JRS.15.016508.
  • Ji, P., T. Zhang, H. Li, M. Salzmann, and I. Reid. 2017. “Deep Subspace Clustering Networks.” Proceedings of International Conference on Neural Information Processing Systems, Long Beach, USA, 24–33.
  • Lei, J., X. Li, B. Peng, L. Fang, N. Ling, and Q. Huang. 2021. “Deep Spatial-Spectral Subspace Clustering for Hyperspectral Image.” IEEE Transactions on Circuits and Systems for Video Technology 31 (7): 2686–2697. doi:10.1109/TCSVT.2020.3027616.
  • Lei, J., X. Luo, L. Fang, M. Wang, and Y. Gu. 2020. “Region-Enhanced Convolutional Neural Network for Object Detection in Remote Sensing Images.” IEEE Transactions on Geoscience and Remote Sensing 58 (8): 5693–5702. doi:10.1109/TGRS.2020.2968802.
  • Li, A., A. Qin, Z. Shang, and Y. Tang. 2019. “Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image.” International Journal of Pattern Recognition and Artificial Intelligence 33: 3. doi:10.1142/S0218001419550036.
  • Long, Y., X. Deng, G. Zhong, J. Fan, and F. Liu. 2019. “Gaussian Kernel Dynamic Similarity Matrix Based Sparse Subspace Clustering for Hyperspectral Images.” Proceedings of International Conference on Computational Intelligence and Security, Macau, China, 211–215.
  • Mehta, A., and O. Dikshit. 2016. “Projected Clustering of Hyperspectral Imagery Using Region Merging.” Remote Sensing Letters 7 (8): 721–730. doi:10.1080/2150704X.2016.1182661.
  • Mukherjee, S., H. Asnani, E. Lin, and S. Kannan. 2019. “ClusterGan: Latent Space Clustering in Generative Adversarial Networks.” Proceedings of 33rd AAAI Conference on Artificial Intelligence, Hawaii, USA, 4610–4617.
  • Murphy, J. M., and M. Maggioni. 2019. “Unsupervised Clustering and Active Learning of Hyperspectral Images with Nonlinear Diffusion.” IEEE Transactions on Geoscience and Remote Sensing 57 (3): 1829–1845. doi:10.1109/TGRS.2018.2869723.
  • Peng, B., J. Lei, H. Fu, C. Zhang, T. Chua, and X. Li. 2020. “Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint.” IEEE Transactions on Circuits and Systems for Video Technology 30 (1): 131–144. doi:10.1109/TCSVT.2018.2889514.
  • Peng, B., X. Zhang, J. Lei, Z. Zhang, N. Ling, and Q. Huang. 2022. “LVE-S2D: Low-Light Video Enhancement from Static to Dynamic.” IEEE Transactions on Circuits and Systems for Video Technology. doi:10.1109/TCSVT.2022.3190916.
  • Qin, Y., L. Bruzzone, and B. Li. 2020. “Learning Discriminative Embedding for Hyperspectral Image Clustering Based on Set-To-Set and Sample-To-Sample Distances.” IEEE Transactions on Geoscience and Remote Sensing 58 (1): 473–485. doi:10.1109/TGRS.2019.2937204.
  • Rodriguez, A., and A. Laio. 2014. “Clustering by Fast Search and Find of Density Peaks.” Science 344 (6191): 1492–1496. doi:10.1126/science.1242072.
  • Xie, J., R. Girshick, and A. Farhadi. 2016. “Unsupervised Deep Embedding for Clustering Analysis.” Proceedings of International Conference on Machine Learning, New York, USA, 478–487.
  • Xie, J., N. He, L. Fang, and P. Ghamisi. 2021. “Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification.” IEEE Transactions on Circuits and Systems for Video Technology 31 (1): 246–259. doi:10.1109/TCSVT.2020.2975566.
  • Zeng, M., Y. Cai, X. Liu, Z. Cai, and X. Li. 2019. “Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering.” Proceedings of International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2694–2697.
  • Zhai, H., H. Zhang, L. Zhang, and P. Li. 2019. “Total Variation Regularized Collaborative Representation Clustering with a Locally Adaptive Dictionary for Hyperspectral Imagery.” IEEE Transactions on Geoscience and Remote Sensing 57 (1): 166–180. doi:10.1109/TGRS.2018.2852708.
  • Zhai, H., H. Zhang, L. Zhang, P. Li, and A. Plaza. 2017. “A New Sparse Subspace Clustering Algorithm for Hyperspectral Remote Sensing Imagery.” IEEE Geoscience and Remote Sensing Letters 14 (1): 43–47. doi:10.1109/LGRS.2016.2625200.
  • Zhang, H., Q. Wang, W. Shi, and M. Hao. 2017. “A Novel Adaptive Fuzzy Local Information C-Means Clustering Algorithm for Remotely Sensed Imagery Classification.” IEEE Transactions on Geoscience and Remote Sensing 55 (9): 5057–5068. doi:10.1109/TGRS.2017.2702061.
  • Zhang, H., H. Zhai, L. Zhang, and P. Li. 2016. “Spectral-Spatial Sparse Subspace Clustering for Hyperspectral Remote Sensing Images.” IEEE Transactions on Geoscience and Remote Sensing 54 (6): 3672–3684. doi:10.1109/TGRS.2016.2524557.
  • Zhao, Y., L. Zhang, and S. G. Kong. 2011. “Band-Subset-Based Clustering and Fusion for Hyperspectral Imagery Classification.” IEEE Transactions on Geoscience and Remote Sensing 49 (2): 747–756. doi:10.1109/TGRS.2010.2059707.
  • Zhong, Y., L. Zhang, and W. Gong. 2011. “Unsupervised Remote Sensing Image Classification Using an Artificial Immune Network.” International Journal of Remote Sensing 32 (19): 5461–5483. doi:10.1080/01431161.2010.502155.
  • Zhong, Y., S. Zhang, and L. Zhang. 2013. “Automatic Fuzzy Clustering Based on Adaptive Multi-Objective Differential Evolution for Remote Sensing Imagery.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6 (5): 2290–2301. doi:10.1109/JSTARS.2013.2240655.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.