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11 May 2009 Shadow and feature recognition aids for rapid image geo-registration in UAV vision system architectures
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Abstract
The problem of real-time image geo-referencing is encountered in all vision based cognitive systems. In this paper we present a model-image feedback approach to this problem and show how it can be applied to image exploitation from Unmanned Arial Vehicle (UAV) vision systems. By calculating reference images from a known terrain database, using a novel ray trace algorithm, we are able to eliminate foreshortening, elevation, and lighting distortions, introduce registration aids and reduce the geo-referencing problem to a linear transformation search over the two dimensional image space. A method for shadow calculation that maintains real-time performance is also presented. The paper then discusses the implementation of our model-image feedback approach in the Perspective View Nascent Technology (PVNT) software package and provides sample results from UAV mission control and target mensuration experiments conducted at China Lake and Camp Roberts, California.
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Wolfgang Baer and Mathias Kölsch "Shadow and feature recognition aids for rapid image geo-registration in UAV vision system architectures", Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 733613 (11 May 2009); https://doi.org/10.1117/12.818225
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