Semi Automatic Remote Sensing Image Layer Generator Based On Web Based Visual Analytics

Egileak: Javier Lozano, Naiara Aginako, Marco Quartulli, Igor Olaizola

Data: 15.06.2014


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Abstract

Large scale thematic map layer generation from Remote Sensing (RS) data can benefit the application of Visual Analytics methodologies aimed at characterizing contents by the effective inclusion of the human analyst in the interpretation loop. Web-based interfaces are specially promising in this regard. Applied analytical reasoning by visual representations involves methodological aspects dealing with both the design of interactive visualizations as well as data representation and transformation considerations. In the presented work, a decision tree is implicitly defined and used to generate a classification of the input elements in terms of relevance. This classification is used in the automatic production of the final layer.

BIB_text

@Article {
author = {Javier Lozano, Naiara Aginako, Marco Quartulli, Igor Olaizola},
title = {Semi Automatic Remote Sensing Image Layer Generator Based On Web Based Visual Analytics},
pages = {709-714},
keywds = {

GIS Technologies, GIS Data Processing, Visual Analytics


}
abstract = {

Large scale thematic map layer generation from Remote Sensing (RS) data can benefit the application of Visual Analytics methodologies aimed at characterizing contents by the effective inclusion of the human analyst in the interpretation loop. Web-based interfaces are specially promising in this regard. Applied analytical reasoning by visual representations involves methodological aspects dealing with both the design of interactive visualizations as well as data representation and transformation considerations. In the presented work, a decision tree is implicitly defined and used to generate a classification of the input elements in terms of relevance. This classification is used in the automatic production of the final layer.


}
date = {2014-06-15},
year = {2014},
}
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