A method of constructing knowledge graph based on hyperspectral target detection algorithm

Yu Zou; Xu Sun; Jianjun Sha; Lina Yang; Lina Zhuang; Lianru Gao

doi:10.1117/12.3011072

1 November 2023 A method of constructing knowledge graph based on hyperspectral target detection algorithm

Yu Zou, Xu Sun, Jianjun Sha, Lina Yang, Lina Zhuang, Lianru Gao

Proceedings Volume 12917, International Conference on Precision Instruments and Optical Engineering (PIOE 2023); 129170J (2023) https://doi.org/10.1117/12.3011072
Event: 3rd International Conference on Precision Instruments and Optical Engineering (PIOE 2023), 2023, Shanghai, China

Abstract

Hyperspectral imaging technology has undergone rapid development in recent years. However, with the exponential growth of data volume, the difficulty of data processing is also increasing rapidly. In such an environment, various target detection algorithms are constantly emerging according to different application environments. In view of this, this paper constructs a Knowledge graph based on hyperspectral anomaly detection algorithm on the neo4j platform, and simply summarizes and sorts out the scattered algorithms. Based on the construction method, we believe that the graph we have constructed has great development prospects in recommending hyperspectral target detection algorithms.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yu Zou, Xu Sun, Jianjun Sha, Lina Yang, Lina Zhuang, and Lianru Gao "A method of constructing knowledge graph based on hyperspectral target detection algorithm", Proc. SPIE 12917, International Conference on Precision Instruments and Optical Engineering (PIOE 2023), 129170J (1 November 2023); https://doi.org/10.1117/12.3011072

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