Objects of Interest Detection by Earth Remote Sensing Data Analysis

@inproceedings{Demidova2018ObjectsOI,
  title={Objects of Interest Detection by Earth Remote Sensing Data Analysis},
  author={Anastasia V. Demidova and Maxim Fomin and Sergey Shorokhov},
  year={2018}
}
In information systems based on a multidimensional approach, a data model is a multidimensional data cube. If one uses a large set of aspects for the analysis of data domain the data cubes are characterized by substantial sparseness. This makes it difficult to describe the metadata of the information system and complicates the organization of data storage. To describe the structure of a sparse data cube, a cluster method can be used. This method is based on the construction of groups of members… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 23 REFERENCES

Errattahi, Prediction in OLAP Data Cubes

F. Z. Salmam, R. M. Fakir
  • Journal of Information & Knowledge Management,
  • 2016

Zaripova, Approach to estimation of performance measures for SIP server model with batch arrivals

Y. Orlov, E. Y. Gaidamaka
  • in: Communications in Computer and Information Science,
  • 2016
VIEW 1 EXCERPT

A Survey, IEEE Transactions on Knowledge & Data Engineering, 27, pp

O. Romero, T. B. Pedersen, +4 authors Using Semantic Web Technologies for Exploratory OLAP
  • 571–588
  • 2015

Zaripova, Session setup delay estimation methods for IMSbased IPTV services. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture

E.R.Y.V. Gaidamaka
  • Notes in Bioinformatics),
  • 2014

Proceedings of the 15-th International 70 ITTMM-WSS—2018 Conference on Extending Database Technology — EDBT 2012, pp

L. I. Gomez, S. A. Gomez, +3 authors in
  • 300–311. ACM, New York
  • 2012