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Proceedings Paper

Unsupervised image characterization for real-time applications
Author(s): C. K. Sood; D. Sita; K. S.C. Iyer
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Paper Abstract

Automatic target recognition makes it possible to provide weapons with lock-on-after-launch (LOAL) capability. For such applications, characterization of digital images for real-time application is required. One method for this has been partially achieved using a modification of Karhunen-Loueve transformation. This technique makes unsupervised lower-dimensional characterization feasible, so as to be able to locate sensor position in a digital image.

Paper Details

Date Published: 10 June 1994
PDF: 11 pages
Proc. SPIE 2232, Signal Processing, Sensor Fusion, and Target Recognition III, (10 June 1994); doi: 10.1117/12.177736
Show Author Affiliations
C. K. Sood, Institute of Armament Technology (India)
D. Sita, Institute of Armament Technology (India)
K. S.C. Iyer, Institute of Armament Technology (India)

Published in SPIE Proceedings Vol. 2232:
Signal Processing, Sensor Fusion, and Target Recognition III
Ivan Kadar; Vibeke Libby, Editor(s)

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