An Efficient Detection of Moroccan Coastal Upwelling Based on Fusion of Chlorophyll-a and Sea Surface Temperature Images With a New Validation Index

Autor: Ayoub Tamim, Anass El Aouni, Zineb El Abidi, Khalid Minaoui, Hicham Laanaya

Publikováno v: IEEE Geoscience and Remote Sensing Letters
IEEE Geoscience and Remote Sensing Letters, IEEE-Institute of Electrical and Electronics Engineers, 2021, 18 (8), pp.1322-1326. ⟨10.1109/LGRS.2020.3002473⟩
IEEE Geoscience and Remote Sensing Letters, 2021, 18 (8), pp.1322-1326. ⟨10.1109/LGRS.2020.3002473⟩

International audience; This research deals with the problem of identifying and extracting effectively the main Moroccan upwelling front. The proposed methodology, based on the image-fusion concept, comes to benefit from the information available in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::765f250fb1a9df770c593ddc8b741676
https://doi.org/10.1109/lgrs.2020.3002473

Delineation of Moroccan Coastal Upwelling Using The Principal Component Analysis Fusion Algorithm on SSC and SST Images

Autor: Ayoub Tamim, Khalid Minaoui, Zineb El Abidi, Hicham Laanaya

Publikováno v: ISIVC

The current paper presents a novel methodology with the goal of detecting the Moroccan coastal upwelling area. Realistically, our region of interest is characterized by lower temperature degree and higher chlorophyll concentration. The distribution o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::91df054fd121ba6485efaba67905a6be
https://doi.org/10.1109/isivc.2018.8709227

A Simple Fusion Approach of Chlorophyll Images and Sea Surface Temperature Images for Improving the Detection of Moroccan Coastal Upwelling

Autor: Khalid Minaoui, Hicham Laanaya, Zineb Elabidi, Ayoub Tamim

Publikováno v: IGARSS

In order to improve the decision-making on the Moroccan upwelling region detection, we present in this paper a simple and reliable fusion approach. In this context, we started by applying Fuzzy C-means algorithm on each 46 Sea Surface Chlorophyll ima

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::87593e8789003d08076e8248f1309e17
https://doi.org/10.1109/igarss.2018.8518889

Detection of Moroccan coastal upwelling using sea surface chlorophyll concentration

Autor: Anass El Aouni, Khalid Minaoui, Driss Aboutajdine, Khalid Daoudi, Ayoub Tamim, Abderrahman Atillah, Hussein Yahia

Publikováno v: 12th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2015
12th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2015, Nov 2015, Agadir, Morocco. ⟨10.1109/AICCSA.2015.7507165⟩
AICCSA

International audience; The aim of this work is to automatically identify and extract the upwelling area in the coastal ocean of Morocco using the satellite observation of chlorophyll concentration. The algorithm starts by the application of FCM algo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e07815a3d1d045beb78321c9ab3337b4
https://inria.hal.science/hal-01360038

Detection of Moroccan coastal upwelling in SST images using the Expectation-Maximization

Autor: Driss Aboutajdine, Khalid Daoudi, Khalid Minaoui, Ayoub Tamim, Abderrahman Atillah

Publikováno v: ISVC'14: 10th International Symposium on Visual Computing

International audience; This paper proposes an unsupervised algorithm for automatic detection and segmentation of upwelling region in Moroccan Atlantic coast using the Sea Surface Temperature (SST) satellite images. This has been done by exploring th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7518aa47cf63d2897dcc097a3736eb83
https://doi.org/10.1109/isacv.2015.7106195