Automatic detection of meddies through texture analysis of sea surface temperature maps

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Automatic detection of meddies through texture analysis of sea surface temperature maps. / Castellani, Marco; Marques, Nuno C.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3808 LNCS 2005. p. 359-370 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3808 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Castellani, M & Marques, NC 2005, Automatic detection of meddies through texture analysis of sea surface temperature maps. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3808 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3808 LNCS, pp. 359-370, 12th Portuguese Conference on Artificial Intelligence, EPIA 2005 - Progress in Artificial Intelligence, Covilha, Portugal, 5/12/05. https://doi.org/10.1007/11595014_36

APA

Castellani, M., & Marques, N. C. (2005). Automatic detection of meddies through texture analysis of sea surface temperature maps. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3808 LNCS, pp. 359-370). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3808 LNCS). https://doi.org/10.1007/11595014_36

Vancouver

Castellani M, Marques NC. Automatic detection of meddies through texture analysis of sea surface temperature maps. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3808 LNCS. 2005. p. 359-370. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11595014_36

Author

Castellani, Marco ; Marques, Nuno C. / Automatic detection of meddies through texture analysis of sea surface temperature maps. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3808 LNCS 2005. pp. 359-370 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Bibtex

@inproceedings{248148ffb3ce45399e9e77cd7c0f3451,
title = "Automatic detection of meddies through texture analysis of sea surface temperature maps",
abstract = "A new machine learning approach is presented for automatic detection of Mediterranean water eddies from sea surface temperature maps of the Atlantic Ocean. A pre-processing step uses Laws' convolution kernels to reveal microstructural patterns of water temperature. Given a map point, a numerical vector containing information on local structural properties is generated. This vector is forwarded to a multi-layer perceptron classifier that is trained to recognise texture patterns generated by positive and negative instances of eddy structures. The proposed system achieves high recognition accuracy with fast and robust learning results over a range of different combinations of statistical measures of texture properties. Detection results are characterised by a very low rate of false positives. The latter is particularly important since meddies occupy only a small portion of SST map area.",
author = "Marco Castellani and Marques, {Nuno C.}",
year = "2005",
doi = "10.1007/11595014_36",
language = "English",
isbn = "3540307370",
volume = "3808 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "359--370",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "12th Portuguese Conference on Artificial Intelligence, EPIA 2005 - Progress in Artificial Intelligence ; Conference date: 05-12-2005 Through 08-12-2005",

}

RIS

TY - GEN

T1 - Automatic detection of meddies through texture analysis of sea surface temperature maps

AU - Castellani, Marco

AU - Marques, Nuno C.

PY - 2005

Y1 - 2005

N2 - A new machine learning approach is presented for automatic detection of Mediterranean water eddies from sea surface temperature maps of the Atlantic Ocean. A pre-processing step uses Laws' convolution kernels to reveal microstructural patterns of water temperature. Given a map point, a numerical vector containing information on local structural properties is generated. This vector is forwarded to a multi-layer perceptron classifier that is trained to recognise texture patterns generated by positive and negative instances of eddy structures. The proposed system achieves high recognition accuracy with fast and robust learning results over a range of different combinations of statistical measures of texture properties. Detection results are characterised by a very low rate of false positives. The latter is particularly important since meddies occupy only a small portion of SST map area.

AB - A new machine learning approach is presented for automatic detection of Mediterranean water eddies from sea surface temperature maps of the Atlantic Ocean. A pre-processing step uses Laws' convolution kernels to reveal microstructural patterns of water temperature. Given a map point, a numerical vector containing information on local structural properties is generated. This vector is forwarded to a multi-layer perceptron classifier that is trained to recognise texture patterns generated by positive and negative instances of eddy structures. The proposed system achieves high recognition accuracy with fast and robust learning results over a range of different combinations of statistical measures of texture properties. Detection results are characterised by a very low rate of false positives. The latter is particularly important since meddies occupy only a small portion of SST map area.

UR - http://www.scopus.com/inward/record.url?scp=33744791748&partnerID=8YFLogxK

U2 - 10.1007/11595014_36

DO - 10.1007/11595014_36

M3 - Conference contribution

AN - SCOPUS:33744791748

SN - 3540307370

SN - 9783540307372

VL - 3808 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 359

EP - 370

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

T2 - 12th Portuguese Conference on Artificial Intelligence, EPIA 2005 - Progress in Artificial Intelligence

Y2 - 5 December 2005 through 8 December 2005

ER -