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Authors: Carlos Alberto Stelle 1 ; Francisco Javier Ariza-López 2 and Manuel Antonio Ureña-Cámara 2

Affiliations: 1 Brazilian Army Geographic Service, Brazil ; 2 University of Jaén, Spain

ISBN: 978-989-758-294-3

Keyword(s): Synthetic Image, Remote Sensing, Simulation, Blender.

Abstract: Images from remote sensing are presented as the main and most relevant data produced by this technology due to the numerous applications in the most diverse areas of knowledge. In this context, simulating these products can mean a significant reduction in costs, time, as well as assisting in the design stages of future sensors in the laboratory. One of the challenges of simulation is to reduce as much as possible the gap between it and the reality one wishes to study. In this context, the purpose of this work is, from a brief review of the methods of simulation of passive sensor images, present a proposal to classify them, to cite some examples of each, to present the conceptual model that is being developed, to mention aspects which provide versatility and functionality as well as some results.

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Paper citation in several formats:
Stelle, C.; Ariza-López, F. and Ureña-Cámara, M. (2018). Synthetic Images Simulation (SImS): A Tool in Development.In Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-294-3, pages 313-318. DOI: 10.5220/0006807903130318

@conference{gistam18,
author={Carlos Alberto Stelle. and Francisco Javier Ariza{-}López. and Manuel Antonio Ureña{-}Cámara.},
title={Synthetic Images Simulation (SImS): A Tool in Development},
booktitle={Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2018},
pages={313-318},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006807903130318},
isbn={978-989-758-294-3},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Synthetic Images Simulation (SImS): A Tool in Development
SN - 978-989-758-294-3
AU - Stelle, C.
AU - Ariza-López, F.
AU - Ureña-Cámara, M.
PY - 2018
SP - 313
EP - 318
DO - 10.5220/0006807903130318

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