Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/48864
Título: A contour matching approach for accurate NOAA-AVHRR image navigation
Autores/as: Eugenio, Francisco 
Marques, Ferran
Suarez, Eduardo
Rovaris, Eduardo 
Clasificación UNESCO: 3301 Ingeniería y tecnología aeronáuticas
Palabras clave: Satellites
Remote sensing
Satellite navigation systems
Satellite broadcasting
US Government agencies
Fecha de publicación: 2000
Publicación seriada: European Signal Processing Conference
Conferencia: 2000 10th European Signal Processing Conference, EUSIPCO 2000 
Resumen: Although different methods for NOAA AVHRR image navigation have already been established, the multitemporal and multi-satellite character of most studies requires automatic and accurate methods for navigation of satellite images. In the proposed method, a simple Kepplerian orbital model for the NOAA satellites is considered as reference model, and mean orbital elements are given as input to the model from ephemeris data. In order to correct the errors caused by these simplifications, errors resulting from inaccuracies in the positioning of the satellite and failures in the satellite internal clock, an automatic global contour matching approach has been adopted. First, the sensed image is preprocessed to obtain a gradient energy map of the reliable areas (sea-land contours) using a cloud detection algorithm and a morphological gradient operator. An initial estimation of the reliable contour positions is automatically obtained. The final positions of the contours are obtained by means of an iterative local minimization procedure that allows a contour to converge on an area of high image energy (edge). Global transformation parameters are estimated based on the initial and final positions of all reliable contour points. Finally, the performance of this approach is assessed using NOAA 14 AVHRR images from different geographic areas.
URI: http://hdl.handle.net/10553/48864
ISSN: 2219-5491
Fuente: European Signal Processing Conference[ISSN 2219-5491],v. 2015-March (7075395)
Colección:Actas de congresos
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