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

被引：0
|
作者：
El Abidi, Zineb [1 ]
Minaoui, Khalid [2 ]
Tamim, Ayoub [3 ]
Laanaya, Hicham [4 ]
机构：
[1] Mohammed V Univ, Fac Sci Rabat, LRIT, CNRST URAC 29, Rabat, Morocco
[2] Mohammed V Univ, Fac Sci Rabat, Rabat IT Ctr, LRIT,CNRST URAC 29, Rabat, Morocco
[3] Higher Inst Marine Fisheries ISPM, Dept Marine Fisheries, Agadir, Morocco
[4] Mohammed V Univ, Fac Sci Rabat, Rabat IT Ctr, Rabat, Morocco
来源：
9TH INTERNATIONAL SYMPOSIUM ON SIGNAL, IMAGE, VIDEO AND COMMUNICATIONS (ISIVC 2018) | 2018年
关键词：
Moroccan Coastal Upwelling; Principal Component Analysis; Sea Surface Temperature image; Sea Surface Chlorophyll image; spatial domain fusion;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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 of this two indicators in the ocean is observed by remote sensing from sea surface chlorophyll (SSC) and sea surface temperature (SST) images. In this context, we process 46 images of the year 2014 for each kind set to detect efficiently the desired zone by applying Principal Component Analysis fusion algorithm. The validation made by the oceanographer indicates that the results of our approach is promising in term of Moroccan coastal upwelling delimitation.
引用
收藏
页码：174 / 178
页数：5
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