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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tamim, A. Minaoui, K. Daoudi, K. Yahia, H. Atillah, A. Smiej, M.F. Aboutajdine, D. |
| Copyright Year | 2013 |
| Description | Author affiliation: LRIT, Univ. Mohammed V - Agdal, Rabat, Morocco (Tamim, A.; Minaoui, K.; Aboutajdine, D.) || INRIA Bordeaux Sud-Ouest (GEOSTAT team), Talence, France (Daoudi, K.; Yahia, H.) || R. Centre for Remote Sensing (CRTS), Rabat, Morocco (Atillah, A.; Smiej, M.F.) |
| Abstract | In this work, we aim to develop a simple and fast algorithm using conventional methods in images segmentation for the automatic detection and extraction of upwelling areas, in the coastal region of Morocco, from the sea surface temperature (SST) satellite images. Our approach is based on the evaluation and comparison between two unsupervised classification methods, Otsu and Fuzzy C-means, and explores the applicability of these methods to our classification problem. The latter consists in coarse detection of the main thermal front that separates coastal cold upwelling waters from the remaining ocean waters. The algorithm has been applied and validated by an oceanographer over a database of 66 SST images corresponding to southern Moroccan coastal upwelling of the years 2004, 2005, 2007 and 2009. The results indicate that the proposed algorithm revealed is promising and reliable on different upwelling scenarios and for a wide variety of oceanographic conditions. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 690159 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780992862602 |
| ISSN | 20761465 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-09 |
| Publisher Place | Morocco |
| Access Restriction | Subscribed |
| Rights Holder | EURASIP |
| Subject Keyword | Image segmentation Databases Image color analysis Segmentation Clustering algorithms Sea measurements Upwelling Sea surface temperature Unsupervised classification Ocean temperature Remote sensing |
| Content Type | Text |
| Resource Type | Article |
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