Probability distributions of polarimetric target and clutter data for search and rescue

Kancham Chotoo; Barton D. Huxtable; Arthur W. Mansfield; Houra Rais

doi:10.1117/12.359991

24 August 1999 Probability distributions of polarimetric target and clutter data for search and rescue

Kancham Chotoo, Barton D. Huxtable, Arthur W. Mansfield, Houra Rais

Proceedings Volume 3718, Automatic Target Recognition IX; (1999) https://doi.org/10.1117/12.359991
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

In this paper we empirically examine the probability of detection (P_D) and false alarm rate (FAR) for crash site detection using polarimetry to discriminate between aircraft target signatures within natural clutter. To date, the search and rescue program has tried several automatic target recognition (ATR) algorithms from the literature. While P_D seems reasonable with these algorithms, the FAR is too high (approximately 10's per square kilometer). The objective of our analysis is to determine if this is a limitation of the ATR algorithms tried, or if this is the best that can be hoped for given the polarimetric statistics of the target and clutter.

Citation Download Citation

Kancham Chotoo, Barton D. Huxtable, Arthur W. Mansfield, and Houra Rais "Probability distributions of polarimetric target and clutter data for search and rescue", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359991

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