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Search Results: 1 - 10 of 402832 matches for " Alberto J; Mero?o "
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Clasificación orientada a objetos en fotografías aéreas digitales para la discriminación de usos del suelo
Perea,Alberto J; Meroo,José E; Aguilera,María J;
Interciencia , 2009,
Abstract: traditional classification techniques, basically pixel-based approaches, are limited. typically, they produce a characteristic "salt and pepper" effect, and are unable to extract objects of interest. these techniques have considerable difficulties in dealing with the rich information content of medium and high-resolution images. one alternative to these classification systems can be a previous segmentation of the image to be classified. in this way, object-based classification can be performed so that a significant increase on the information that can be extracted is obtained. in the present work, the aim is to obtain a digital classification of wilderness-urban interface areas that can be used by fire management services. to this end, a digital aerial image provided by the dmc sensor was segmented and classified using ecognition software, which allows homogeneous image object extraction. the meaningful image objects obtained were then used for the classification. segmentation before classification worked out as an efficient image analysis technique, overcoming traditional approaches limitations. digital aerial photographs and data of 350 plots in granada, spain, were used to validate the classifications obtained; the overall classification accuracy of 90% and an excellent kappa statistic (85%) for the object-based classification, proved the validity of this method.
Land-cover classification with an expert classification algorithm using digital aerial photographs
Alberto J. Perea,José E. Meroo,María J. Aguilera,José L. de la Cruz
South African Journal of Science , 2010, DOI: 10.4102/sajs.v106i5/6.237
Abstract: The purpose of this study was to evaluate the usefulness of the spectral information of digital aerial sensors in determining land-cover classification using new digital techniques. The land covers that have been evaluated are the following, (1) bare soil, (2) cereals, including maize (Zea mays L.), oats (Avena sativa L.), rye (Secale cereale L.), wheat (Triticum aestivum L.) and barley (Hordeun vulgare L.), (3) high protein crops, such as peas (Pisum sativum L.) and beans (Vicia faba L.), (4) alfalfa (Medicago sativa L.), (5) woodlands and scrublands, including holly oak (Quercus ilex L.) and common retama (Retama sphaerocarpa L.), (6) urban soil, (7) olive groves (Olea europaea L.) and (8) burnt crop stubble. The best result was obtained using an expert classification algorithm, achieving a reliability rate of 95%. This result showed that the images of digital airborne sensors hold considerable promise for the future in the field of digital classifications because these images contain valuable information that takes advantage of the geometric viewpoint. Moreover, new classification techniques reduce problems encountered using high-resolution images; while reliabilities are achieved that are better than those achieved with traditional methods.
On the first stability eigenvalue of constant mean curvature surfaces into homogeneous 3-manifolds
Luis J. Alías,Miguel A. Meroo,Irene Ortiz
Mathematics , 2013,
Abstract: We find out upper bounds for the first eigenvalue of the stability operator for compact constant mean curvature surfaces immersed into certain 3-dimensional Riemannian spaces, in particular into homogeneous 3-manifolds. As an application we derive some consequences for strongly stable surfaces in such ambient spaces. Moreover, we also get a characterization of Hopf tori in certain Berger spheres.
Algorithms of Expert Classification Applied in Quickbird Satellite Images for Land Use Mapping
Perea,Alberto Jesús; Meroo,José Emilio; Aguilera,María Jesús;
Chilean journal of agricultural research , 2009, DOI: 10.4067/S0718-58392009000300013
Abstract: the objective of this paper was the development of a methodology for the classification of digital aerial images, which, with the aid of object-based classification and the normalized difference vegetation index (ndvi), can quantify agricultural areas, by using algorithms of expert classification, with the aim of improving the final results of thematic classifications. quickbird satellite images and data of 2532 plots in hinojosa del duque, spain, were used to validate the different classifications, obtaining an overall classification accuracy of 91.9% and an excellent kappa statistic (87.6%) for the algorithm of expert classification.
Algorithms of Expert Classification Applied in Quickbird Satellite Images for Land Use Mapping Algoritmos de Clasificación Experta Aplicados en Imágenes Satelitales Quickbird para el Mapeo de la Cobertura de la Tierra
Alberto Jesús Perea,José Emilio Meroo,María Jesús Aguilera
Chilean Journal of Agricultural Research , 2009,
Abstract: The objective of this paper was the development of a methodology for the classification of digital aerial images, which, with the aid of object-based classification and the Normalized Difference Vegetation Index (NDVI), can quantify agricultural areas, by using algorithms of expert classification, with the aim of improving the final results of thematic classifications. QuickBird satellite images and data of 2532 plots in Hinojosa del Duque, Spain, were used to validate the different classifications, obtaining an overall classification accuracy of 91.9% and an excellent Kappa statistic (87.6%) for the algorithm of expert classification. El objetivo del presente trabajo fue poner a punto una metodología de clasificación de imágenes de satélite, que auxiliada por la clasificación orientada a objetos y el índice de vegetación de diferencia normalizada (normalized difference vegetation index, NDVI), permita cuantificar las áreas agrícolas de la región utilizando algoritmos de clasificación experta, con vistas a mejorar los resultados finales de las clasificaciones temáticas. Se utilizaron imágenes satelitales Quickbird y datos de 2532 parcelas en Hinojosa del Duque, Espa a, para validar las clasificaciones, consiguiendo una precisión total del 91,9% y un excelente estadístico Kappa (87,6%) para el algoritmo de clasificación experta.
Application of Numenta Hierarchical Temporal Memory for land-use classification
A.J. Perea,J.E. Meroo,M.J. Aguilera
South African Journal of Science , 2010, DOI: 10.4102/sajs.v105i9/10.114
Abstract: The aim of this paper is to present the application of memoryprediction theory, implemented in the form of a Hierarchical Temporal Memory (HTM), for land-use classification. Numenta HTM is a new computing technology that replicates the structure and function of the human neocortex. In this study, a photogram, received by a photogrammetric UltraCamD sensor of Vexcel, and data on 1 513 plots in Manzanilla (Huelva, Spain) were used to validate the classification, achieving an overall classification accuracy of 90.4%. The HTMapproach appears to hold promise for land-use classification.
Biocalcarenites as construction materials in Santa Marina de Aguas Santas Church at Cordoba, Spain
Barrios Neira, J.,Montealegre, L.,Ortega, A.,Meroo, J. E.
Materiales de Construccion , 2009,
Abstract: This study consisted in characterizing the materials used to build Santa Marina de Aguas Santas Church at Cordoba and locating the original quarries. The techniques used in the lithological and chemical characterization included XRD, petrographic microscopy and electron dispersive scanning microscopy. The chemical index of weathering (CIW) was used to quantify the state of stone decay. The lithology and different types of alterations observed were mapped. A comparison of the material on the building to ancient quarries identified “Naranjo” as the possible site where the stone was originally quarried. Para la caracterización litológica y determinación del grado de alteración de los materiales pétreos se han empleado las siguientes técnicas: difracción de rayos X (método del polvo), microscopía petrográfica (sobre lámina delgada) y microscopía de barrido con EDS (energía dispersiva de rayos X), para determinar la composición química. El estado de degradación del material pétreo se ha cuantificado a partir del índice químico de alteración (CIW). Se han realizado cartografías sobre la fachada oeste: a) de las litologías presentes y b) de los diferentes tipos de alteración observados. La comparación de muestras del edificio con las de antiguas canteras ha permitido identificar la del Naranjo como la posible cantera de origen.
La sensibilidad del vendedor a la reclamación del cliente y su efecto sobre los comportamientos postqueja
Francisco J. Sarabia Sánchez,María Concepción Parra Meroo
Cuadernos de Economía y Dirección de la Empresa , 2009,
Abstract: Este estudio analiza la relación entre la sensibilidad del vendedor (SV) a la reclamación del cliente y sus comportamientos postqueja: intención de recompra, comunicación oral e informal WOM (positiva, negativa), queja (intención futura, ante terceros) y abandono. Desarrollamos un indicador para medir su percepción de SV, que ajusta a una función de la familia de distribuciones Johnson SB. Usando este índice, la intención de recompra, de abandono y de queja futura presentan niveles significativamente diferentes según sea la SV, no ocurriendo lo mismo para queja ante terceros y WOM (positiva o negativa). No se encuentra un efecto de halo de la creencia general sobre los vendedores en la influencia de la sensibilidad percibida en el vendedor sobre los comportamientos postqueja. Finalmente se discute el rol del vendedor en el comportamiento de queja del cliente y se ofrecen recomendaciones desde las perspectivas académica y empresarial.
Malabsorción de lactosa en pacientes con enfermedad inflamatoria intestinal inactiva: ?está justificado excluir los productos lácteos a todos los pacientes?
Ba?os Madrid,R.; Salama Benarroch,H.; Morán Sánchez,S.; Gallardo Sánchez,F.; Albaladejo Meroo,A.; Mercader Martínez,J.;
Anales de Medicina Interna , 2004, DOI: 10.4321/S0212-71992004000500002
Abstract: introduction: there are inflammatory bowel disease (ibd) patients avoid lactealproducts withoutevidenceof lactose malabsorption, probablybecause of incorrect patient perceptions and arbitrary advice from physicians anddiet books. aim: to evaluate the prevalence of lactose malabsorption in patients with ibp. method: in 18 patients with crohn's diseaseand24 with ulcerative colitis and25 controls the prevalence of lactose intolerance, as measured by lactose breath hydrogen tests. results: observed deficiencies of absorption of the lactose in 7 (16.6%) patients with ibpand 5 (20%) subjects control. conclusions: not all the patients with ibd are intolerant to the lactose by the suppression of the lacteal produts must not be generalized in the diet of these patients.
ANáLISIS DEL NIVEL DE PROFESIONALIZACIóN EN LA EMPRESA FAMILIAR
ángel Luis Meroo Cerdán
Revista de Estudios Empresariales. Segunda época , 2009,
Abstract: The coexistence of the familiar and business dimensions defines the family-owned business. However, the business dimension is fundamental and the survival of any company needs the professionalization of its management. Thus, greater levels of professionalization are frequently demanded, normally making reference to the incorporation of external managers to the family, nevertheless, professionalization is a more complex phenomenon. In order to measure the levels of professionalization of the family-owned business a set of variables are proposed and measured from 433 companies. The results conclude that the presence of external managers is superior in the more complex familiar companies. Nevertheless, there are no significant differences in the variables that evaluate the professionalization (profile of the manager and systems of management). Thus it is possible to conclude that there are no differences in the level of professionalization of management in family-owned businesses considering the participation of external managers.
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