Novel Cluster Modeling for the Spatiotemporal Analysis of Coastal Upwelling

Author:

Nascimento SusanaORCID,Martins AlexandreORCID,Relvas PauloORCID,Luís Joaquim F.ORCID,Mirkin BorisORCID

Publisher

Springer International Publishing

Reference18 articles.

1. Abidi, Z.E., Minaoui, K., Tamim, A., Laanaya, H.: Delineation of Moroccan coastal upwelling using the principal component analysis fusion algorithm on SSC and SST images. In: 2018 9th International Symposium on Signal, Image, Video and Communications - ISIVC 2018, pp. 174–178 (2018)

2. Adams, R., Bischof, L.: Seeded region growing. IEEE Trans. Pattern Anal. Mach. Intell. 16(6), 641–647 (1994)

3. Aouni, A.E., Daoudi, K., Minaoui, K., Yahia, H.: Robust detection of the north-west African upwelling from SST images. IEEE Geosci. Remote Sens. Lett. 18(4), 573–576 (2021)

4. Atluri, G., Karpatne, A., Kumar, V.: Spatio-temporal data mining: a survey of problems and methods. ACM Comput. Surv. 51(4), 1–41 (2018)

5. Chen, X.C., Faghmous, J.H., Khandelwal, A., Kumar, V.: Clustering dynamic spatio-temporal patterns in the presence of noise and missing data. In: Proceedings of the 24th International Conference on Artificial Intelligence, pp. 2575–2581. IJCAI 2015, AAAI Press (2015)

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