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dc.date.accessioned 2010-06-14T14:23:54Z
dc.date.available 2010-06-14T03:00:00Z
dc.date.issued 2010-06
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9676
dc.description.abstract UAV (Unmanned Airborne Vehicle) high resolution digital image acquisition systems based on small format cameras provide a versatile alternative to the solution of environmental monitoring and remote sensing problems. Through digital image processing these small format optical and multi-spectral camera images can obtain orthomosaics that meet quality standards at a fraction of the cost of traditional heavier manned vehicle equipment. They also have higher availability, resolution and flexibility can also be obtained when compared to satellite images. This paper presents research and development undertaken to produce a computational system that can automatically process optical and multi-spectral images obtained from digital cameras mounted on a UAV aircraft. The system acquires, rectifies, mosaics and georeferences these images with minimum operator assistance. Results prove that the process can almost be fully automated and that the system can be operated by minimally trained personnel. Processed images obtained by the software can be used for pattern recognition, photo interpretation, photogrammetry, and other remote sensing applications. en
dc.format.extent 97-103 es
dc.language en es
dc.subject imagen digital es
dc.subject UAV aircraft en
dc.title Aerial image acquisition and processing for remote sensing en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Jun10-9.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Manera, José F. es
sedici.creator.person Rodríguez, Lucas es
sedici.creator.person Delrieux, Claudio es
sedici.creator.person Coppo, Ricardo es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000006139 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 10, no. 2 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)