How the spatial resolution can affect the quality of mosaics and assessment of optimum number of tie points necessary to obtain good quality images

• David Gómez-Candón ^[1] ; Sylvain Labbé ^[2] ; Montse Jurado-Expósito ^[1] ; José M. Peña Barragán ^[1] ; Gilles Rabatel ^[2] ; Francisca López-Granados ^[1]
  1. [1] Instituto de Agricultura Sostenible

     Instituto de Agricultura Sostenible

     Cordoba, España

     
  2. [2] Cemagref, Maison de la télédétection
• Localización: Proceedings of the first International Workshop on robotics and associated high technologies and equipment for agriculture (RHEA-2011): Montpellier, France September 9, 2011 / Pablo González de Santos (ed. lit.), Gilles Rabatel (ed. lit.), 2011, ISBN 978-84-615-6184-1, págs. 61-72
• Idioma: español
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• Resumen

  • Orthorectification and mosaicing are two important steps in the design ofinput application strategies for precision agriculture. Images with low spatialresolution and big georreferencing errors are not useful to obtain good qualitymaps. In this paper we tried to compare the usefulness between two differentpieces of software for orthorectificacion and mosaicing of remote images.Furthermore, we studied the spatial resolution requirements and minimumnumber of tie points/GCPs needed to obtain good quality orthomosaics. Theseorthomosaics have to be ready to be used to detect weeds in crops and to obtainhigh precision prescription maps