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Proceedings Paper

Detection filters for visible high-resolution imagery
Author(s): David P. Casasent; Songyot Nakariyakul; Rajesh Shenoy
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Paper Abstract

We consider new distortion-invariant filters (DIFs) to detect objects in high-resolution Electro-Optical (EO) visible imagery. EO data is a difficult detection problem, because only primitive features such as edges and corners are useful. No hot spots (present in IR data) or bright reflectors (present in SAR data) exist in EO data. We thus expect many false alarms when we try to detect objects in EO data. We use new eigen-detection filters because they are shift-invariant, require only few filters and can handle multiple target classes. Initial results show that our filters, when using zero-mean data, perform well on EO data.

Paper Details

Date Published: 6 August 2003
PDF: 10 pages
Proc. SPIE 5106, Optical Pattern Recognition XIV, (6 August 2003); doi: 10.1117/12.501422
Show Author Affiliations
David P. Casasent, Carnegie Mellon Univ. (United States)
Songyot Nakariyakul, Carnegie Mellon Univ. (United States)
Rajesh Shenoy, Hewlett-Packard Co. (United States)


Published in SPIE Proceedings Vol. 5106:
Optical Pattern Recognition XIV
David P. Casasent; Tien-Hsin Chao, Editor(s)

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