Applicability of fuzzy clustering for the identification of upwelling areas on sea surface temperature images

Susana Maria dos Santos Nascimento M. de Almeida; Hugo Casimiro; Fátima M. Sousa; Dmitri Boutov

Applicability of fuzzy clustering for the identification of upwelling areas on sea surface temperature images

Susana Maria dos Santos Nascimento M. de Almeida, Hugo Casimiro, Fátima M. Sousa, Dmitri Boutov

DI - Departamento de Informática

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

This work explores the applicability of fuzzy clustering methods to the segmentation of sea surface temperature (SST) images for the automatic identification of upwelling areas in the coastal ocean of Portugal. This has been done by exploring the fuzzy c-means algorithm. Visualization of fuzzy c-partitions is achieved by means of color mapping. Selection of the best c-partition that represents the upwelling stages is done using the Xie- Beni validation index. Besides, by measuring the matching rate between a c-partition and 'ground truth' image whose upwelling area had been manually contoured by oceanographers, one evaluates how closely the algorithm reproduces the shape of the upwelling areas.

Original language	English
Title of host publication	Proceedings of the 2005 UK Workshop on Computational Intelligence
Subtitle of host publication	UK Ci 2005: London, UK 5-7 September 2005
Editors	Boris Mirkin, George Magoulas
Place of Publication	Birkbeck
Publisher	University of London
Pages	143-148
Number of pages	6
Publication status	Published - 2005
Event	2005 UK Workshop on Computational Intelligence, UKCI 2005 - London, United Kingdom Duration: 5 Sept 2005 → 7 Sept 2005

Conference

Conference	2005 UK Workshop on Computational Intelligence, UKCI 2005
Country/Territory	United Kingdom
City	London
Period	5/09/05 → 7/09/05

Cite this

Almeida, S. M. D. S. N. M. D., Casimiro, H., Sousa, F. M., & Boutov, D. (2005). Applicability of fuzzy clustering for the identification of upwelling areas on sea surface temperature images. In B. Mirkin, & G. Magoulas (Eds.), Proceedings of the 2005 UK Workshop on Computational Intelligence: UK Ci 2005: London, UK 5-7 September 2005 (pp. 143-148). University of London.

Almeida, Susana Maria dos Santos Nascimento M. de ; Casimiro, Hugo ; Sousa, Fátima M. et al. / Applicability of fuzzy clustering for the identification of upwelling areas on sea surface temperature images. Proceedings of the 2005 UK Workshop on Computational Intelligence: UK Ci 2005: London, UK 5-7 September 2005. editor / Boris Mirkin ; George Magoulas. Birkbeck : University of London, 2005. pp. 143-148

@inproceedings{18982755a76641e4a569ec349f6c13a9,

title = "Applicability of fuzzy clustering for the identification of upwelling areas on sea surface temperature images",

abstract = "This work explores the applicability of fuzzy clustering methods to the segmentation of sea surface temperature (SST) images for the automatic identification of upwelling areas in the coastal ocean of Portugal. This has been done by exploring the fuzzy c-means algorithm. Visualization of fuzzy c-partitions is achieved by means of color mapping. Selection of the best c-partition that represents the upwelling stages is done using the Xie- Beni validation index. Besides, by measuring the matching rate between a c-partition and 'ground truth' image whose upwelling area had been manually contoured by oceanographers, one evaluates how closely the algorithm reproduces the shape of the upwelling areas.",

author = "Almeida, {Susana Maria dos Santos Nascimento M. de} and Hugo Casimiro and Sousa, {F{\'a}tima M.} and Dmitri Boutov",

year = "2005",

language = "English",

pages = "143--148",

editor = "Boris Mirkin and George Magoulas",

booktitle = "Proceedings of the 2005 UK Workshop on Computational Intelligence",

publisher = "University of London",

note = "2005 UK Workshop on Computational Intelligence, UKCI 2005 ; Conference date: 05-09-2005 Through 07-09-2005",

}

Almeida, SMDSNMD, Casimiro, H, Sousa, FM & Boutov, D 2005, Applicability of fuzzy clustering for the identification of upwelling areas on sea surface temperature images. in B Mirkin & G Magoulas (eds), Proceedings of the 2005 UK Workshop on Computational Intelligence: UK Ci 2005: London, UK 5-7 September 2005. University of London, Birkbeck, pp. 143-148, 2005 UK Workshop on Computational Intelligence, UKCI 2005, London, United Kingdom, 5/09/05.

Applicability of fuzzy clustering for the identification of upwelling areas on sea surface temperature images. / Almeida, Susana Maria dos Santos Nascimento M. de; Casimiro, Hugo; Sousa, Fátima M. et al.
Proceedings of the 2005 UK Workshop on Computational Intelligence: UK Ci 2005: London, UK 5-7 September 2005. ed. / Boris Mirkin; George Magoulas. Birkbeck: University of London, 2005. p. 143-148.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Applicability of fuzzy clustering for the identification of upwelling areas on sea surface temperature images

AU - Almeida, Susana Maria dos Santos Nascimento M. de

AU - Casimiro, Hugo

AU - Sousa, Fátima M.

AU - Boutov, Dmitri

PY - 2005

Y1 - 2005

N2 - This work explores the applicability of fuzzy clustering methods to the segmentation of sea surface temperature (SST) images for the automatic identification of upwelling areas in the coastal ocean of Portugal. This has been done by exploring the fuzzy c-means algorithm. Visualization of fuzzy c-partitions is achieved by means of color mapping. Selection of the best c-partition that represents the upwelling stages is done using the Xie- Beni validation index. Besides, by measuring the matching rate between a c-partition and 'ground truth' image whose upwelling area had been manually contoured by oceanographers, one evaluates how closely the algorithm reproduces the shape of the upwelling areas.

AB - This work explores the applicability of fuzzy clustering methods to the segmentation of sea surface temperature (SST) images for the automatic identification of upwelling areas in the coastal ocean of Portugal. This has been done by exploring the fuzzy c-means algorithm. Visualization of fuzzy c-partitions is achieved by means of color mapping. Selection of the best c-partition that represents the upwelling stages is done using the Xie- Beni validation index. Besides, by measuring the matching rate between a c-partition and 'ground truth' image whose upwelling area had been manually contoured by oceanographers, one evaluates how closely the algorithm reproduces the shape of the upwelling areas.

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M3 - Conference contribution

SP - 143

EP - 148

BT - Proceedings of the 2005 UK Workshop on Computational Intelligence

A2 - Mirkin, Boris

A2 - Magoulas, George

PB - University of London

CY - Birkbeck

T2 - 2005 UK Workshop on Computational Intelligence, UKCI 2005

Y2 - 5 September 2005 through 7 September 2005

ER -

Applicability of fuzzy clustering for the identification of upwelling areas on sea surface temperature images

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