Singular features in sea surface temperature data

Q. Yang, B. Parvin, Arthur J Mariano

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Citations (Scopus)

Abstract

We propose to detect singular features in order to generate an intelligent summary of high resolution spatiotemporal data that are obtained from satellite-based observations of the ocean. Toward this objective, we extend the Horn-Schunck model of flow field computation to incorporate incompressibility for tracking fluid motion. This is expressed as a zero-divergence constraint in the variational problem and an efficient multigrid implementation of it is introduced. Additionally, we show an effective localization of event features, such as vortices and saddle points, in the velocity field that can be used for subsequent abstraction, query and statistical analysis.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Pattern Recognition
Pages516-520
Number of pages5
Volume15
Edition1
StatePublished - 2000

Fingerprint

Flow fields
Statistical methods
Vortex flow
Satellites
Fluids
Temperature

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture

Cite this

Yang, Q., Parvin, B., & Mariano, A. J. (2000). Singular features in sea surface temperature data. In Proceedings - International Conference on Pattern Recognition (1 ed., Vol. 15, pp. 516-520)

Singular features in sea surface temperature data. / Yang, Q.; Parvin, B.; Mariano, Arthur J.

Proceedings - International Conference on Pattern Recognition. Vol. 15 1. ed. 2000. p. 516-520.

Research output: Chapter in Book/Report/Conference proceedingChapter

Yang, Q, Parvin, B & Mariano, AJ 2000, Singular features in sea surface temperature data. in Proceedings - International Conference on Pattern Recognition. 1 edn, vol. 15, pp. 516-520.
Yang Q, Parvin B, Mariano AJ. Singular features in sea surface temperature data. In Proceedings - International Conference on Pattern Recognition. 1 ed. Vol. 15. 2000. p. 516-520
Yang, Q. ; Parvin, B. ; Mariano, Arthur J. / Singular features in sea surface temperature data. Proceedings - International Conference on Pattern Recognition. Vol. 15 1. ed. 2000. pp. 516-520
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