Time filter

Source Type

Toma D.M.,Polytechnic University of Catalonia | Del Rio J.,Polytechnic University of Catalonia | Jirka S.,Open Source Initiative | Delory E.,Oceanic Platform of the Canary Islands | Pearlman J.,IEEE France Section
2014 IEEE Sensor Systems for a Changing Ocean, SSCO 2014 | Year: 2014

The objective of the European FP7 project NeXOS (Next generation Low-Cost Multifunctional Web Enabled Ocean Sensor Systems Empowering Marine, Maritime and Fisheries Management) is to develop cost-efficient innovative and interoperable in-situ sensors deployable from multiple platforms to support the development of a truly integrated Ocean Observing System. Therefore, several sensor systems will be developed in NeXOS project for specific technologies and monitoring strategies such as: ocean passive acoustics, ocean optics, and EAF monitoring (Ecosystem Approach to Fisheries), that will provide an integrated, technologically coherent system for multi-scale, multi-parameter monitoring of the oceans. For all these sensors system, NeXOS will develop the Smart Electronic Interface for Sensors and Instruments (SEISI) which is a set of standards and functionalities to enable Web-based sharing, discovery, exchange and processing of sensor observations, and operation of sensor systems. The architecture will satisfy international standards, defined by ISO, OGC, and the INSPIRE directive, to enable integration of marine sensors with existing observing systems. The SEISI will provide a multifunctional interface for many types of current sensors and instruments as well as the new multi-parameter sensor systems, and a standard interface for existing observing systems platforms such as: cabled observatories, buoys, gliders or Ferryboxes on ship or vessel of opportunity. To achieve the compatibility with all these platforms, the sensor systems developed in NeXOS based on SEISI will be designed to accomplish two main requirements of these platforms regarding the communication bandwidth and the power consumption. © 2014 IEEE.


Moreno D.V.,Canary Institute of Marine science | Marrero J.P.,Canary Institute of Marine science | Morales J.,IFAPA Centro Agua del Pino | Garcia C.L.,Canary Institute of Marine science | And 3 more authors.
Estuarine, Coastal and Shelf Science | Year: 2012

The Patagonian Sea in Argentina is known as an area with high primary production and biodiversity. The complex hydrodynamic environment resulting from the interaction between the Malvinas-Brazil convergence and the waters over the continental shelf and slope enhances the development of high chlorophyll concentrations, especially in frontal and coastal areas. The composition, distribution and variability of several phytoplankton functional types (PFTs) derived from diagnostic pigments were studied in relation to the local hydrographical conditions, using data from a research cruise carried out on board the RV Bio Hesperides at the end of the Summer season (March 2008).Phytoplankton cell size and PFT distributions were found to be highly influenced by the physical and chemical characteristics of the studied environments. Thus large cells, mainly diatoms, were the dominant size fraction in the southern frontal areas, where the SubAntarctic Surface Waters (SASW) from the Malvinas Current meet shelf waters. However, other groups of microphytoplankton (mPF), mainly dinoflagellates, were also detected in the shallow waters zone influenced by the tidal regime near the Valdes Peninsula. Picophytoplankton (pPF) was an important contributor to the floristic composition in the southern frontal zones, while nanophytoplankton (nPF) was dominant in the stations located over the continental slope, and in the oligotrophic area near Mar del Plata.The ratio between photoprotective and photosynthetic pigments (PPC:PSC) and the photoprotection index (PI) indirectly provide information about the environment and its effect on the PFTs composition. © 2012 Elsevier Ltd.


Toma D.M.,Polytechnic University of Catalonia | Del Rio J.,Polytechnic University of Catalonia | Jirka S.,Open Source Initiative | Delory E.,Oceanic Platform of the Canary Islands | And 2 more authors.
MTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World | Year: 2015

This paper introduces the Smart Electronic Interface for Web Enabled Ocean Sensor Systems of the NeXOS project as example how interoperable standards help, to facilitate the creation of an infrastructure for sharing oceanographic observation data and the integration of sensor into marine installations. A given kind of sensor may be deployed on various platforms such as floats, gliders or moorings, and thus must be integrated with different data acquisition systems. Simplifying the integration process in existing or newly established observing systems would have benefit system operators and is important for the broader application of different sensors. Several sensor systems will be developed in NeXOS project for specific technologies and monitoring strategies such as: ocean passive acoustics, ocean optics, and EAF monitoring (Ecosystem Approach to Fisheries), that will provide an integrated, technologically coherent system for multi-scale, multi-parameter monitoring of the oceans. For all these sensors system, the Smart Electronic Interface for Sensors and Instruments (SEISI) is developed, which is a set of standards and functionalities to enable Web-based sharing, discovery, exchange and processing of sensor observations, and operation of sensor systems. The architecture will satisfy international standards, defined by ISO, OGC, and the INSPIRE directive, to enable integration of marine sensors with existing observing systems. The SEISI will provide a multifunctional interface for many types of current sensors and instruments as well as the new multi-parameter sensor systems, and a standard interface for existing observing systems platforms such as: cabled observatories, buoys, gliders or Ferryboxes on ship or vessel of opportunity. To achieve the compatibility with all these platforms, the sensor systems developed in NeXOS based on SEISI will be designed to accomplish two main requirements of these platforms regarding the communication bandwidth and the power consumption. © 2015 IEEE.


Quevedo E.,Oceanic Platform of the Canary Islands | Quevedo E.,Institute for Applied Microelectronics | Sanchez L.,Oceanic Platform of the Canary Islands | Callico G.M.,Oceanic Platform of the Canary Islands | And 3 more authors.
Proceedings of the International Symposium on Consumer Electronics, ISCE | Year: 2013

Super-Resolution (SR) is a set of techniques which objective is to increase and improve the resolution of an image or a video sequence. In this scope, one of the most used techniques is 'fusion', where High-Resolution (HR) images are constructed from several observed Low-Resolution (LR) images. In this paper, a fusion SR algorithm is enhanced introducing an intelligent selective filter which decides the best LR frames to be used in the process. Additionally, an adaptive Macro-Block (MB) size decision maker has been developed to specify an appropriate frame division into MBs. This not only improves the quality but also reduces the computational cost of the baseline algorithm, avoiding the incorporation of non-correlated data. It is also presented how this new algorithm performs well with typical SR applications, such as underwater imagery, surveillance video or remote sensing. The algorithm results are provided on a test environment to objectively compare the quality enhancement of images processed by bilinear interpolation and the two aforementioned methods: Baseline and Enhanced SR, presenting a quantitative comparison based on the PSNR (Peak Signal-to-Noise Ratio) and the SSIM (Structural SIMilarity index). © 2013 IEEE.


Quevedo E.,Oceanic Platform of the Canary Islands | Quevedo E.,University of Las Palmas de Gran Canaria | De La Cruz J.,University of Las Palmas de Gran Canaria | Callico G.M.,University of Las Palmas de Gran Canaria | And 2 more authors.
Digest of Technical Papers - IEEE International Conference on Consumer Electronics | Year: 2014

Super-Resolution (SR) covers a set of techniques which objective is to improve the resolution of a video sequence or a single frame. In this scope, a fusion SR algorithm has been used, where High-Resolution (HR) images are constructed from several observed Low-Resolution (LR) images. In this paper, this approach is combined with a Multi-Camera (MC) system to take advantage at the same time from the spatial and temporal correlations between the recorded sequences, in order to improve the quality of the super-resolved HR sequence. © 2014 IEEE.


Quevedo E.,Oceanic Platform of the Canary Islands | Quevedo E.,University of Las Palmas de Gran Canaria | Horat D.,Oceanic Platform of the Canary Islands | Callico G.M.,University of Las Palmas de Gran Canaria | Tobajas F.,University of Las Palmas de Gran Canaria
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

The necessity to improve image resolution is of great concern in multiple diverse fields such as: medicine, communications, or satellite and underwater applications. A high variety of techniques for image enhancement has been proposed in the literature, being a trade-off the relation between the computation time and the quality of the obtained results. This work is focused on a test environment that permits to objectively compare the quality enhancement of images processed by two different improvement methods: bilinear interpolation and Super-Resolution (SR), presenting how these results relate to the computation time. The objective comparison is based on the PSNR (Peak Signal-to-Noise Ratio) and the SSIM (Structural SIMilarity). © 2013 Springer-Verlag Berlin Heidelberg.


Quevedo E.,Oceanic Platform of the Canary Islands | De La Cruz J.,University of Las Palmas de Gran Canaria | Callico G.M.,University of Las Palmas de Gran Canaria | Tobajas F.,University of Las Palmas de Gran Canaria | Sarmiento R.,University of Las Palmas de Gran Canaria
IEEE Transactions on Consumer Electronics | Year: 2014

Super-Resolution (SR) covers a set of techniques whose objective is to improve the resolution of a video sequence or a single frame. In this scope, a fusion SR algorithm has been used, where High-Resolution (HR) images are constructed from several observed Low-Resolution (LR) images. In this paper, this approach is combined with a Multi-Camera (MC) system to take advantage of the spatial and temporal correlations between the recorded sequences, in order to improve the quality of the super-resolved HR sequence. The results show that the proposed combination outperforms the quality of typical SR applications, such as consumer electronics, surveillance video or remote sensing. © 1975-2011 IEEE.


Quevedo E.,Oceanic Platform of the Canary Islands | De La Cruz J.,University of Las Palmas de Gran Canaria | Sanchez L.,University of Las Palmas de Gran Canaria | Callico G.M.,University of Las Palmas de Gran Canaria | Tobajas F.,University of Las Palmas de Gran Canaria
IEEE Transactions on Consumer Electronics | Year: 2015

Super-Resolution (SR) consists in processing an image or a set of images in order to enhance the resolution of a video sequence or a single frame. In this paper, fusion SR techniques are considered, where High-Resolution (HR) images are constructed from several observed Low-Resolution (LR) images, thereby increasing the high-frequency components and removing the degradations caused by the recording process of LR imaging acquisition devices. This paper follows a strategy combining the selection of the most appropriate frames and adaptive sized Macro-Blocks (MBs) together with a Multi-Camera (MC) system. This proposal optimizes the spatial and temporal correlations between the recorded sequences, and minimizes the appearance of annoying artifacts at the same time, improving the quality of the super-resolved HR sequence and reducing the computational cost by more than a factor of two. This type of image enhancement systems has many applications in Consumer Electronics appliances related to imaging. More specifically, many camera suppliers are incorporating Super-Resolution in their high-end products. © 1975-2011 IEEE.


Gelado-Caballero M.D.,University of Las Palmas de Gran Canaria | Lopez-Garcia P.,University of Las Palmas de Gran Canaria | Prieto S.,University of Las Palmas de Gran Canaria | Patey M.D.,University of Las Palmas de Gran Canaria | And 2 more authors.
Journal of Geophysical Research: Atmospheres | Year: 2012

There are very few sets of long-term measurements of aerosol concentrations over the North Atlantic Ocean, yet such data is invaluable in quantifying atmospheric dust inputs to this ocean region. We present an 8-year record of total suspended particles (TSP) collected at three stations on Gran Canaria Island, Spain (Taliarte at sea level, Tafira 269 m above sea level (a.s.l.) and Pico de la Gorra 1930 m a.s.l.). Using wet and dry deposition measurements, the mean dust flux was calculated at 42.3 mg m-2 d-1. Air mass back trajectories (HYSPLIT, NOAA) suggested that the Sahara desert is the major source of African dust (dominant during 32-50% of days), while the Sahel desert was the major source only 2-10% of the time (maximum in summer). Elemental composition ratios of African samples indicate that, despite the homogeneity of the dust in collected samples, some signatures of the bedrocks can still be detected. Differences were found for the Sahel, Central Sahara and North of Sahara regions in Ti/Al, Mg/Al and Ca/Al ratios, respectively. Elements often associated with pollution (Pb, Cd, Ni, Zn) appeared to share a common origin, while Cu may have a predominantly local source, as suggested by a decrease in the enrichment factor (EF) of Cu during dust events. The inter-annual variability of dust concentrations is investigated in this work. During winter, African dust concentration measurements at the Pico de la Gorra station were found to correlate with the North Atlantic Oscillation (NAO) index. Copyright 2012 by the American Geophysical Union.


Quevedo E.,Oceanic Platform of the Canary Islands | Quevedo E.,University of Las Palmas de Gran Canaria | De La Cruz J.,University of Las Palmas de Gran Canaria | Sanchez L.,University of Las Palmas de Gran Canaria | And 2 more authors.
2015 IEEE International Conference on Consumer Electronics, ICCE 2015 | Year: 2015

Variable Size Block-Matching Super-Resolution covers a set of techniques which objective is to improve the resolution of a video sequence or a single frame considering variable sized Macro-Blocks. In this paper, this approach is combined with a Multi-Camera system to take advantage from the spatial and temporal correlations between frames. © 2015 IEEE.

Loading Oceanic Platform of the Canary Islands collaborators
Loading Oceanic Platform of the Canary Islands collaborators