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)
The tutorial will cover basic texture analysis and segmentation methods, like Markov random fields, The goal of this tutorial is to cover several current main topics in computer vision research. The scope will be rather broad, including the following topics: image matching, structure-from-motion and image-based 3D modeling, panoramic imaging, image-based(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)
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 subdivisión of an image into separated regions. This study proposes a new image segmentation methodology based on a self-calibrating(More)
We provide and evalúate a fusión algorithm of remotely sensed images, i.e. the fusión 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 Quickbird. To assess the fusión process, we use six quality indexes, that confirm, along with visual analysis,(More)