Detection filters for visible high-resolution imagery

David P. Casasent; Songyot Nakariyakul; Rajesh Shenoy

doi:10.1117/12.501422

6 August 2003 Detection filters for visible high-resolution imagery

David P. Casasent, Songyot Nakariyakul, Rajesh Shenoy

Proceedings Volume 5106, Optical Pattern Recognition XIV; (2003) https://doi.org/10.1117/12.501422
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

David P. Casasent, Songyot Nakariyakul, and Rajesh Shenoy "Detection filters for visible high-resolution imagery", Proc. SPIE 5106, Optical Pattern Recognition XIV, (6 August 2003); https://doi.org/10.1117/12.501422

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available