Estibaliz Martinez

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In this letter, we propose a novel method for unsupervised change detection (CD) in multitemporal Erreur Relative Globale Adimensionnelle de Synthese (ERGAS) satellite images by using the relative dimensionless global error in synthesis index locally. In order to obtain the change image, the index is calculated around a pixel neighborhood (3 <formula(More)
In this paper, self-organizing maps (SOM) with growing capability are proposed to evaluate the goodness of multispectral training areas selection that would be used in supervised classification processes. The SOM model used in this study is the Growing Cell Structures (GCS) neural network. Some modifications of the original GCS training algorithm are(More)
The data acquired by Remote Sensing systems allow obtaining thematic maps of the earth's surface, by means of the registered image classification. This implies the identification and categorization of all pixels into land cover classes. Traditionally, methods based on statistical parameters have been widely used, although they show some disadvantages.(More)
Landcover is subject to continuous changes on a wide variety of temporal and spatial scales. Those changes produce significant effects in human and natural activities. Maintaining an updated spatial database with the occurred changes allows a better monitoring of the Earth's resources and management of the environment. Change detection (CD) techniques using(More)
In this work a parametric multi-sensor Bayesian data fusion approach and a Support Vector Machine (SVM) are used for a Change Detection problem. For this purpose two sets of SPOT5-PAN images have been used, which are in turn used for Change Detection Indices (CDIs) calculation. For minimizing radiometric differences, a methodology based on zonal "invariant(More)
Light Detection and Ranging (LIDAR) provides high horizontal and vertical resolution of spatial data located in point cloud images, and is increasingly being used in a number of applications and disciplines, which have concentrated on the exploit and manipulation of the data using mainly its three dimensional nature. Bathymetric LIDAR systems and data are(More)
An efficient selection by means of Field Radiometry, of a targets set of homogenous spectral response, named endmembers, is going to optimize the methodology of the mixed spectral response modelling, obtained in the registration process of an image from remote sensors in satellites. Additionally, the information obtained through the analysis of its spectral(More)