Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Martínez Izquierdo, María Estíbaliz"'
Autor:
Aguirre Herrera, Sandra, Quemada Vives, Juan, Pastor Caño, Jose Ignacio, Martínez Izquierdo, María Estíbaliz, Mendiola Ubillos, María Ángeles, Machuca, Victoria, Portaencasa Galan, Raquel
Publikováno v:
Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, ED-MEDIA 2011 | World Conference on Educational Multimedia, Hypermedia and Telecommunications, ED-MEDIA 2011 | 27/06/2011-01/07/2011 | Lisboa, Portugal
Archivo Digital UPM
Universidad Politécnica de Madrid
Archivo Digital UPM
Universidad Politécnica de Madrid
This paper describes the CyberAula 2.0 project which presents an integrated solution for videoconferencing and lecture recording as a mechanism to support subjects which need to be promoted or discontinued within the framework of the European converg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::161b86c231e5be2af2594191a11ff232
http://oa.upm.es/11656/
http://oa.upm.es/11656/
Autor:
Renza Torres, Diego, Martínez Izquierdo, María Estíbaliz, Arquero Hidalgo, Águeda, Sánchez Hernández, Javier
Publikováno v:
Proceedings of EARSeL Symposium 2010 | 30th EARSeL Symposium Remote Sensing for Science, Education, and Natural and Cultural Heritage | 31 May-03 Jun 2010 | París, Francia
Archivo Digital UPM
instname
Archivo Digital UPM
instname
The purpose of this paper is to analyze the usefulness of traditional indexes, such as NDVI and NDWI along with a recently proposed index (NDDI) using merged data for multiple dates, with the aim of obtaining drought data to facilitate the analysis f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7af85afac17047f940a622161a687323
http://oa.upm.es/34984/
http://oa.upm.es/34984/
Autor:
Sánchez Hernández, Javier, Martínez Izquierdo, María Estíbaliz, Arquero Hidalgo, Águeda, Renza Torres, Diego
Publikováno v:
Proceedings of EARSeL Symposium 2010 | 30th EARSeL Symposium Remote Sensing for Science, Education, and Natural and Cultural Heritage | 31 May-03 Jun 2010 | Paris, Francia
Archivo Digital UPM
Universidad Politécnica de Madrid
Archivo Digital UPM
Universidad Politécnica de Madrid
Remote sensing information from spaceborne and airborne platforms continues to provide valuable data for different environmental monitoring applications. In this sense, high spatial resolution im-agery is an important source of information for land c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::08b10ab1cd279fcad85f89ce2a53ec5e
http://oa.upm.es/35127/
http://oa.upm.es/35127/
Autor:
Cordoba Cabeza, Maria Luisa, Rodriguez Martinez, Angel, Martínez Izquierdo, María Estíbaliz, Ferré Grau, Xavier
Publikováno v:
Actas del V Jornadas Internacionales Mentoring & Coaching | V Jornadas Internacionales Mentoring & Coaching | 23/11/2010-25/11/2010 | Madrid, España
Archivo Digital UPM
Universidad Politécnica de Madrid
Archivo Digital UPM
Universidad Politécnica de Madrid
En el curso 2009/2010 comenzó la implantación del nuevo título de Grado en Ingeniería Informática de la UPM. En el nuevo marco del EEES (Espacio Europeo de Educación Superior) las competencias transversales como las desarrolladas en un programa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::43aaa8ec9d762d8f362723e3fa6d2390
https://oa.upm.es/9648/
https://oa.upm.es/9648/
Autor:
Delgado Sanz, Maria Soledad, Gonzalo Martín, Consuelo, Martínez Izquierdo, María Estíbaliz, Arquero Hidalgo, Águeda
Publikováno v:
Journal of the Serbian Society for Computational Mechanics, ISSN 1820-6530, 2010-01, Vol. 4, No. 1
Archivo Digital UPM
instname
Archivo Digital UPM
instname
Remote sensing can be defined as the technique that facilitates the acquisition of land surface data without contact with the material object of observation. The development of tools for analyzing and processing multispectral images captured by senso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::34cc9d9a6359e250b36a11903d47ec5e
https://oa.upm.es/9449/
https://oa.upm.es/9449/
Autor:
Renza Torres, Diego, Martínez Izquierdo, María Estíbaliz, Arquero Hidalgo, Águeda, Sanchez, Javier
Publikováno v:
Proceedings of the 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010 | 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010 | 08/11/2010-11/11/2010 | Sao Paulo, Brasil
Archivo Digital UPM
Universidad Politécnica de Madrid
Archivo Digital UPM
Universidad Politécnica de Madrid
We provide and evaluate a fusion algorithm of remotely sensed images, i.e. the fusion of a panchromatic (PAN) image with a multi-spectral (MS) image using bilateral filtering, applied to images of three different sensors: SPOT 5, Landsat ETM+ and Qui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dc7150e676c9d67ec313c370162587ca
https://oa.upm.es/7090/
https://oa.upm.es/7090/
Autor:
Molina Sánchez, Iñigo, Arquero Hidalgo, Águeda, Martínez Izquierdo, María Estíbaliz, Martinez, Raul
Publikováno v:
Proceedings of the 3rd International Symposium “Recent Advances in Quantitative Remote Sensing” | 3rd International Symposium “Recent Advances in Quantitative Remote Sensing” | 27/09/2010-01/10/2010 | Torrent, Valencia, España
Archivo Digital UPM
Universidad Politécnica de Madrid
Archivo Digital UPM
Universidad Politécnica de Madrid
Assessment and detection of environmental changes is one the most frequent applications in remote sensing. As a result, there has been a great proliferation of research on this particular topic, leading to different methodologies for detecting change
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::eade6f26a536a65c78c49de19e1c85b4
https://oa.upm.es/7532/
https://oa.upm.es/7532/
Autor:
Sanchez, Javier, Martínez Izquierdo, María Estíbaliz, Arquero Hidalgo, Águeda, Renza Torres, Diego
Publikováno v:
Proceedings of the 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010 | 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010 | 08/11/2010-11/11/2010 | Sao Paulo, Brasil
Archivo Digital UPM
Universidad Politécnica de Madrid
Archivo Digital UPM
Universidad Politécnica de Madrid
The object-based methodology is one of the most commonly used strategies for processing high spatial resolution images. A prerequisite to object-based image analysis is image segmentation, which is normally defined as the subdivision of an image into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7cd5e700fc055c8ad2be6233f3257111
https://oa.upm.es/7086/
https://oa.upm.es/7086/
Publikováno v:
Proceedings of the 28th Symposium of the European Association of Remote Sensing Laboratories | 28th Symposium of the European Association of Remote Sensing Laboratories | 02/06/2008-05/06/2008 | Estambul, Turquia
Archivo Digital UPM
Universidad Politécnica de Madrid
Archivo Digital UPM
Universidad Politécnica de Madrid
An efficient methodology to simulate mixed spectral signatures of land covers, from endmember data, using linear statistical modelling based on the least squares estimation approach, is proposed. The optimal set of endmember has been obtained by meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::88344e586a7bcaf2f7e21391f5a45b1c
https://oa.upm.es/3446/
https://oa.upm.es/3446/
Autor:
Delgado Sanz, Maria Soledad, Gonzalo Martín, Consuelo, Martínez Izquierdo, María Estíbaliz, Arquero Hidalgo, Águeda
Publikováno v:
Growing Self-Organizing Maps for Data Analysis | En: Encyclopedia of Artificial Intelligence | pag. 781-787 | IGI Publications | 2009
Archivo Digital UPM
Universidad Politécnica de Madrid
Archivo Digital UPM
Universidad Politécnica de Madrid
Currently, there exist many research areas that produce large multivariable datasets that are difficult to visualize in order to extract useful information. Kohonen self organizing maps have been used successfully in the visualization and analysis of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::753da475133b5273efa0b3e04be45929
https://oa.upm.es/4951/
https://oa.upm.es/4951/