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Título

AUGEO software para la georreferenciación semiautomática de imágenes remotas basándose en señales terrestres artificiales

Otros títulosAUGEO: Semi-automatic detection of artificial terrestrial targets for image geo-referencing
AutorGarcía Torres, Luis ; Gómez-Candón, David ; Caballero Novella, Juan José ; Jurado-Expósito, Montserrat ; Peña Barragán, José Manuel ; López Granados, Francisca
Palabras claveAUGEO
Software
Fecha de publicaciónsep-2009
EditorCSIC - Instituto de Agricultura Sostenible (IAS)
ResumenA research group of the Institute for Sustainable Agriculture (IAS-CSIC, Cordoba, Spain) has made contributions to improve the georeferencing accuracy for whichever platform the image has been taken (satellites, conventional airplanes and UAV). AUGEO system intends to assess and decrease co-registration errors in remote imagery through geo-referenced terrestrial targets (TT), captured in the imagery and semi-automatically recognized by AUGEO2.0® software. This works as an add-on of ENVI® for image co-registration. A higher number of TT used in the geo-referencing process leads to a lower obtained error (RMSE). Pair/ couple TT considerably increased accuracy. Furthermore, results from coupled analysis show that TT detection increased as the distance between the TTs decreased. AUGEO system requires considerably less time than conventional georeferencing field work and subsequent computer work, and allows the georeferencing of images of areas that do not contain recognizable ground control points for verification and validation. The AUGEO procedure developed could have a wide acceptation in remote sensing for precision agriculture if artificial terrestrial target of automatic opening will be used and captured in the remote images.
Input prescription maps (IPM) takes up the image geo-referencing error and, consequently, each “IPM micro-plot” does not coincide with its corresponding “ground-truth micro-plot”. The percentage of non-overlapping area (%NOA) between both micro-plots has been developed as a function of the positioning error (PE/RMSE), α° (the angle between Φge and the operating direction, Φop), and the micro-plot size. The %NOA consistently increased as the RMSE and α° increased, and it decreased as the micro-plot width or length increased. The decision about micro-plot size should be based on the RMSE, α°, and the maximum admissible %NOA.
DescripciónContiene 3 documentos (1. Objetivos, alcance y publicaciones. 2. Manual de código) y el software
URIhttp://hdl.handle.net/10261/121339
ReferenciasGómez-Candón, David; López Granados, Francisca; Caballero Novella, Juan José; Gómez-Casero, M. Teresa; Jurado-Expósito, Montserrat; García Torres, Luis. Geo-referencing remote images for precision agriculture using artificial terrestrial targets. 10.1007/s11119-011-9228-3. http://hdl.handle.net/10261/88036
García Torres, Luis; Gómez-Candón, David; Caballero Novella, Juan José; Gómez-Casero, M; Jurado-Expósito, Montserrat; López Granados, Francisca. Position error of input prescription map delineated from remote images. http://hdl.handle.net/10261/121342
Gómez-Candón, David; López Granados, Francisca; Caballero Novella, Juan José; Peña Barragán, José Manuel; García Torres, Luis. Understanding the errors in input prescription maps based on high spatial resolution remote sensing images. 10.1007/s11119-012-9270-9. http://hdl.handle.net/10261/84325
Gómez-Candón, David; López Granados, Francisca; Caballero Novella, Juan José; Peña Barragán, José Manuel; Gómez-Casero, M. Teresa; Jurado-Expósito, Montserrat; García Torres, Luis. Semiautomatic detection of artificial terrestrial targets for remotely sensed image georeferencing. 10.1109/lgrs.2012.2197729. http://hdl.handle.net/10261/91965
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augeo.savSoftware11,84 kBUnknownVisualizar/Abrir
1_AUGEO_2_0 _Objetives_scope_and_publications.pdf50,25 kBAdobe PDFVista previa
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2_AUGEO_IDL_code_for_registration.pdf55,46 kBAdobe PDFVista previa
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