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Ismael F. Aymerich
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Year
A rapid technique for classifying phytoplankton fluorescence spectra based on self-organizing maps
IF Aymerich, J Piera, A Soria-Frisch, L Cros
Applied spectroscopy 63 (6), 716-726, 2009
182009
Detection of Tephra Layers in Antarctic Sediment Cores with Hyperspectral Imaging
IF Aymerich, M Oliva, S Giralt, J Martín-Herrero
PloS one 11 (1), e0146578, 2016
172016
Detection of Tephra Layers in Antarctic Sediment Cores with Hyperspectral Imaging
SGJMH Ismael F. Aymerich, Marc Oliva
PloS one 11 (1), 2016
172016
Effect of spectral resolution in hyperspectral data analysis
E Torrecilla, IF Aymerich, S Pons, J Piera
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE …, 2007
152007
Monolithic spectrometer for environmental monitoring applications
S Pons, IF Aymerich, E Torrecilla, J Piera
OCEANS 2007-Europe, 1-3, 2007
112007
Analysis of Discrimination Techniques for Low-Cost Narrow-Band Spectrofluorometers
IF Aymerich, AM Sánchez, S Pérez, J Piera
Sensors 15 (1), 611-634, 2014
32014
Hyperspectral remote sensing of phytoplankton assemblages in the ocean: Effects of the vertical distribution
E Torrecilla, J Piera, IF Aymerich, S Pons, ON Ross, M Vilaseca
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing …, 2010
32010
Fast phytoplankton classification from fluorescence spectra: comparison between PSVM and SOM
IF Aymerich, J Piera, J Mohr, A Soria-Frisch, K Obermayer
OCEANS 2009-EUROPE, 1-4, 2009
32009
Comparing the use of hyperspectral Irradiance Reflectance and Diffuse Attenuation Coeficient as indicators for algal presence in the water column
IF Aymerich, S Pons, J Piera, E Torrecilla, ON Ross
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing …, 2010
22010
Phytoplankton discrimination from fluorescence spectra using Neural Networks
IF Aymerich, J Piera, A Soria-Frisch
Instrumentation Viewpoint 6, 88-89, 2007
22007
Potential support vector machines and Self-Organizing Maps for phytoplankton discrimination
IF Aymerich, J Piera, A Soria-Frisch
Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-5, 2010
12010
Mapping marine phytoplankton assemblages from a hyperspectral and Artificial Intelligence perspective
E Torrecilla, J Piera, S Pons, IF Aymerich, A Vilamala, JLI Arcos, E Plaza
OCEANS 2010 IEEE-Sydney, 1-7, 2010
12010
Planning the installation of the European Multidisciplinary Sea-floor Observatory (EMSO): First approach using geographic information systems (GIS)
IF Aymerich, J Piera, JJ Dañobeitia
OCEANS, 2011 IEEE-Spain, 1-5, 2011
2011
Cable planning for the european multidisciplinary seafloor observatory: open-source GIS software used to determine optimal cable deployment of an underwater Observatory Network
IF Aymerich, J Piera, JJ Dañobeitia
Sea Technology 52 (6), 10-12, 2011
2011
Aneris: Devlopment of an intelligent oceanographic probe with high resolution autonomous sampling and col· lecting capabilities
V Cano, N Pujol, J Piera Fernández, E Torrecilla Ribalta, IF Aymerich
SARTI (Technological Development Centre of Remote Acquisition and Data …, 2010
2010
Potential support vector machines for phytoplankton fluorescence spectra classification: comparison with self-organizing maps.
IF Aymerich, J Piera Fernández, J Mohr, A Soria-Frisch, K Obermayer
Instrumentation viewpoint, 81-81, 2010
2010
Fast phytoplankton classification from emission fluorescence spectra based on Self-Organizing Maps
IF Aymerich, J Piera, A Soria-Frisch
OCEANS 2008, 1-4, 2008
2008
Phytoplankton descrimination from fluorescence spectra using neural networks
I Fernández Aymerich, J Piera Fernández, A Soria-Frisch
-, 2008
2008
Low cost hyperspectral device suitable for monitoring sensor networks
S Pons, I Fernández Aymerich, E Torrecilla Ribalta, J Piera Fernández
-, 2008
2008
Low cost hyperspectral device suitable for monitoring sensor networks
S Pons Freixes, IF Aymerich, E Torrecilla, J Piera
Instrumentation Viewpoint 6, 60-61, 2007
2007
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Articles 1–20