Research on multi-classification method of grassland category based on semi-supervised clustering and clustering

Yihan Ma; JieTeng Jiang; Zhehao Zhang; Haiyang Li; Yunpeng Jin; Kai Li; Chunmei Li

doi:10.1117/12.2641359

10 November 2022 Research on multi-classification method of grassland category based on semi-supervised clustering and clustering

Yihan Ma, JieTeng Jiang, Zhehao Zhang, Haiyang Li, Yunpeng Jin, Kai Li, Chunmei Li

Author Affiliations +

Proceedings Volume 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022); 123483I (2022) https://doi.org/10.1117/12.2641359
Event: 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 2022, Zhuhai, China

Abstract

The quality of the data determines the quality of the model. In this paper, the grassland degradation data in the Headwaters of the Three Rivers were processed in the early stage and labeled with multiple classification. Guided clustering and semi-supervised clustering were used for comparison. The two methods were combined to classify and label the data, so as to improve the accuracy and completeness of the classification data.

Citation Download Citation

Yihan Ma, JieTeng Jiang, Zhehao Zhang, Haiyang Li, Yunpeng Jin, Kai Li, and Chunmei Li "Research on multi-classification method of grassland category based on semi-supervised clustering and clustering", Proc. SPIE 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 123483I (10 November 2022); https://doi.org/10.1117/12.2641359

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