Estibaliz Martinez

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Keywords: Topology preserving Self-organizing map Growing cell structures Visualization methods Delaunay triangulation The Self-Organizing Map (SOM) is a neural network model that performs an ordered projection of a high dimensional input space in a low-dimensional topological structure. The process in which such mapping is formed is defined by the SOM(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)
INTRODUCTION Currently, there exist many research áreas that produce large multivariable datasets that are difficultto visualize in order to extract useful information. Kohonen self-organizing maps have been used successfully in the visualization and analysis of multidimensional data. In this work, a projection technique that compresses multidimensional(More)
Today, a visual inspection of the repair coating quality in can ends of metal containers for fish food is carried out. This visual inspection is a manual and non-destructive testing procedure. In order to improve this quality control, we have developed an automated inspection system, based on machine vision, which assesses the repair coating quality of each(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)
Change detection in imagery is quite useful generally but it has particular value in the remote sensing context. The conventional change detection methods based on pixel, which are appropriate to the low/middle resolution images, could not model the high-resolution imagery very well. In this case the object-based change detection techniques become(More)