Correlation scene matchers used for image registration are subject to geometric distortions of the sensed field-of-view (FOV) and reference images. These distortions limit the size of the optimal FOV. Since larger FOVs mean more information and thus higher correlation peak-to-sidelobe ratios (PSR) we have been motivated to find a technique for further increasing effective FOV size. We have developed a method of forming mosaic FOVs for individual FOV in concert with short-term stable navigation data that specify the relative displacements of the individual FOVs. This technique called correlation addition is useful in scene matching navigation where a camera is scanned (e. g. by platform motion) over a region of interest. Correlation addition can be mechanized by translation and addition of the correlation surfaces from individual FOV correlations. We have implemented a VLSI architecture for computing correlation addition and have conducted performance simulation of scene-matching navigation in stressful conditions such as scene changes due to snow and shadows. We will present performance analysis several algorithms for correlation addition some simulation results and describe our architecture for computing the correlations.

Date Published: 1 November 1990
PDF: 11 pages
Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); doi: 10.1117/12.23566

Published in SPIE Proceedings Vol. 1349:
Applications of Digital Image Processing XIII
Andrew G. Tescher, Editor(s)