Title :
Regional Algorithms for European Seas: A Case Study Based on MERIS Data
Author :
Kajiyama, Tamito ; D´Alimonte, Davide ; Zibordi, Giuseppe
Author_Institution :
Centre of Inf. & Inf. Technol. (CITI), Univ. Nova de Lisboa, Caparica, Portugal
Abstract :
Advances in satellite ocean color technologies and methodologies are expected to lead to the generation of coastal water bio-optical products with accuracies close to those targeted for oceanic regions. In view of contributing to such a progress, multilayer perceptron neural networks complying with standard Medium Resolution Imaging Spectrometer (MERIS) pigment indices were developed relying on regional highly accurate in situ data. This work illustrates and discusses the application to sample MERIS imagery of those neural networks trained to produce pigment indices in seas characterized by increased levels of bio-optical complexity: the Baltic, the Northern Adriatic, and the Western Black Seas.
Keywords :
geophysics computing; neural nets; oceanographic regions; oceanographic techniques; Baltic sea; European seas; MERIS data; Medium Resolution Imaging Spectrometer; Northern Adriatic sea; Western Black sea; coastal water bio-optical products; multilayer perceptron neural networks; oceanic regions; regional algorithms; sample MERIS imagery; satellite ocean color methodologies; satellite ocean color technologies; standard MERIS pigment; Biomedical optical imaging; Europe; Indexes; Neural networks; Oceans; Pigments; Sea measurements; Multilayer perceptron (MLP) neural networks; ocean color; pigment index; remote sensing;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2012.2202370
