Combining clustering and classification for remote-sensing images using unlabeled data

Xiaoyong Bian; Tianxu Zhang; Xiaolong Zhang

doi:10.3788/COL201109.011002

Chinese Optics Letters, Volume. 9, Issue 1, 011002(2011)

Combining clustering and classification for remote-sensing images using unlabeled data

Xiaoyong Bian^1,2, Tianxu Zhang¹, and Xiaolong Zhang²

¹Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China

²School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430081, China

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Cited By

[1] Juan C. Valdiviezo-N, Alejandro Téllez-Qui?ones, Adan Salazar-Garibay, Alejandra A. López-Caloca. Built-up index methods and their applications for urban extraction from Sentinel 2A satellite data: discussion. Journal of the Optical Society of America A, 35, 35(2018).

[2] Juan C. Valdiviezo-N, Francisco J. Hernandez-Lopez, Alejandro Téllez-Qui?ones. Morphological reconstruction algorithms for urban monitoring using satellite data: proper selection of the marker and mask images. International Journal of Remote Sensing, 43, 674(2022).

[3] Chao-Lung Yang, Thi Phuong Quyen Nguyen. Sequential Clustering and Classification Approach to Analyze Sales Performance of Retail Stores Based on Point-of-Sale Data. International Journal of Information Technology & Decision Making, 21, 885(2022).

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Xiaoyong Bian, Tianxu Zhang, Xiaolong Zhang. Combining clustering and classification for remote-sensing images using unlabeled data[J]. Chinese Optics Letters, 2011, 9(1): 011002

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Paper Information

Received: Aug. 12, 2010

Accepted: Oct. 28, 2010

Published Online: Jan. 7, 2011

The Author Email:

DOI:10.3788/COL201109.011002

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