Share Email Print

Proceedings Paper

Increasing correlation matcher space-bandwidth product via a mosaic field of view
Author(s): Kim T. Constantikes; Gary D. Shiflett
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

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.

Paper Details

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
Show Author Affiliations
Kim T. Constantikes, Johns Hopkins Univ. (United States)
Gary D. Shiflett, Johns Hopkins Univ. (United States)

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

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?