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Proceedings Paper

Data model LUT-based change and anomaly detection for real-time multispectral image characterization
Author(s): Holger Jaenisch; James Handley
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Paper Abstract

We present a method for partitioning a multispectral image into fixed size look-up tables (LUTs) that are dynamically updated for presence or absence of simple distribution characterizing features of the sub-frames they represent. If the features have been previously observed, the sub-frame is recognized and no update occurs, if not the table is updated and a suitable anomaly reported. Our method enables dynamic change detection to occur at multiple wavelengths independently by creating suitable LUTs for each wavelength band. Details of our approach are presented.

Paper Details

Date Published: 15 May 2012
PDF: 13 pages
Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 839015 (15 May 2012); doi: 10.1117/12.915176
Show Author Affiliations
Holger Jaenisch, The Johns Hopkins Univ. (United States)
Licht Strahl Engineering, Inc. (United States)
James Handley, Licht Strahl Engineering, Inc. (United States)


Published in SPIE Proceedings Vol. 8390:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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