Synthetic Images Simulation (SImS): A Tool in Development

Carlos Alberto Stelle, Francisco Javier Ariza-López, Manuel Antonio Ureña-Cámara

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 Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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