Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47616
Title: Accurate and automatic NOAA-AVHRR image navigation using a global contour matching approach
Authors: Eugenio, Francisco 
Marques, Ferran
Gomez, Luis 
Suarez, Eduardo
Rovaris, Eduardo 
UNESCO Clasification: 3301 Ingeniería y tecnología aeronáuticas
Keywords: Image edge detection
Satellite navigation systems
Space vehicles
Extraterrestrial measurements
Feature extraction
Telecommunications
Issue Date: 2000
Journal: International Geoscience and Remote Sensing Symposium (IGARSS)
Conference: IEEE International Geoscience and Remote Sensing Symposium 
Abstract: The problem of precise and automatic AVHRR image navigation is tractable in theory, but has proved to be somewhat difficult in practice. Our work has been motivated by the need for a fully automatic and operational navigation system capable of geo-referencing NOAA-AVHRR images with high accuracy and without operator supervision. The proposed method is based on the simultaneous use of an orbital model and a contour matching approach. This last process, relying on an affine transformation model, is used to correct the errors caused by inaccuracies in orbit modeling, nonzero value for the spacecraft's roll, pitch and yaw, errors due to inaccuracies in the satellite positioning and failures in the satellite internal clock. The automatic global contour matching process is summarized as follows: i) Estimation of the gradient energy map (edges) in the sensed image and detection of the cloudless (reliable) areas in this map. ii) Initialization of the affine model parameters by minimizing the Euclidean distance between the reference and sensed images objects. iii) Simultaneous optimization of all reference image contours on the sensed image by energy minimization in the domain of the global transformation parameters. The process is iterated in a hierarchical way, reducing the parameter searching space at each iteration. The proposed image navigation algorithm has proved to be capable of geo-referencing a satellite image within 1 pixel.
URI: http://hdl.handle.net/10553/47616
ISBN: 0-7803-6359-0
Source: International Geoscience and Remote Sensing Symposium (IGARSS),v. 2, p. 639-641
Appears in Collections:Actas de congresos
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