Grid-Based Concise Hash for Solar Images-Reference-Cited by-同舟云学术

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Grid-Based Concise Hash for Solar Images

Published:2021 Issue: Volume: Page:242-254
ISSN:0302-9743
Container-title:Computational Science – ICCS 2021
language:
Short-container-title:

Author:

Grycuk Rafał^ORCID,Scherer Rafał^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-77967-2_20

Reference21 articles.

1. Banda, J., Angryk, R., Martens, P.: Steps toward a large-scale solar image data analysis to differentiate solar phenomena. Sol. Phys. 288(1), 435–462 (2013)

2. Banda, J.M., Angryk, R.A.: Scalable solar image retrieval with lucene. In: 2014 IEEE International Conference on Big Data (Big Data), pp. 11–17. IEEE (2014)

3. Banda, J.M., Angryk, R.A.: Regional content-based image retrieval for solar images: traditional versus modern methods. Astron. Comput. 13, 108–116 (2015)

4. Buckland, M., Gey, F.: The relationship between recall and precision. J. Am. Soc. Inf. Sci. 45(1), 12 (1994)

5. Dougherty, E.R.: An Introduction to Morphological Image Processing. SPIE, Bellingham (1992)

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1. Toward Real-Time Solar Content-Based Image Retrieval;Lecture Notes in Computer Science;2024

2. Fuzzy-Based Solar Magnetogram Image Retrieval;2023 IEEE International Conference on Fuzzy Systems (FUZZ);2023-08-13

3. Sun Magnetograms Retrieval from Vast Collections Through Small Hash Codes;Computational Science – ICCS 2023;2023

4. Semantic Hashing for Fast Solar Magnetogram Retrieval;Journal of Artificial Intelligence and Soft Computing Research;2022-10-01

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