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Proceedings Paper

Multispectral band sharpening using pseudoinverse estimation and fuzzy reasoning
Author(s): Tim J. Patterson; Michael E. Bullock; Alan D. Wada
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Paper Abstract

Exploitation of commercial multispectral satellite imagery (e.g., Landsat Thematic Mapper (TM) and SPOT multispectral scanner) can be extremely useful for surveillance and broad area search due to the large geographic areas covered with each orbital pass. However, most multispectral sensors are not designed for the specialized tasks associated with surveillance. As a result, multispectral exploitation for surveillance faces significant technical problems. Principle among these problems is the low spatial resolution of the sensor. This paper presents an innovative technique that synergistically fuses high resolution panchromatic imagery with lower resolution multispectral imagery to generate a 'sharpened multispectral image', which is an estimation of high resolution multispectral information. This is a two stage paradigm where an initial estimate of the sharpened image is made using the pseudoinverse and then refined using a set of fuzzy rules. The pseudoinverse produces a minimum mean-squared error estimate of the sharpened pixel while the fuzzy rules refine this estimate using the local information contained in the surrounding pixels. This technique and preliminary processing results are presented. Implications for surveillance is also discussed.

Paper Details

Date Published: 28 August 1992
PDF: 12 pages
Proc. SPIE 1693, Surveillance Technologies II, (28 August 1992); doi: 10.1117/12.138084
Show Author Affiliations
Tim J. Patterson, Advanced Decision Systems (United States)
Michael E. Bullock, Advanced Decision Systems (United States)
Alan D. Wada, Advanced Decision Systems (United States)

Published in SPIE Proceedings Vol. 1693:
Surveillance Technologies II
Sankaran Gowrinathan; James F. Shanley, Editor(s)

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