Accession Number:

ADA214754

Title:

Adaptive Multiple-Band CFAR (Constant-False-Alarm-Rate) Detection of an Optical Pattern with Unknown Spectral Distribution

Descriptive Note:

Final technical rept. Jan-Nov 1988

Corporate Author:

UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES DEPT OF ELECTRICAL ENGINEERING

Personal Author(s):

Report Date:

1989-06-01

Pagination or Media Count:

34.0

Abstract:

A generalized constant false-alarm rate CFAR algorithm is developed for detecting the presence of an optical signal of non-zero intensity in J signal-plus-noise bands or channels. For many applications this new algorithm is more flexible and practical than previous ones. If J1, the resulting test reduces to the standard normalized matched filter test for finding a signal in clutter of unknown and varying intensity. Both theoretical and computer simulation results show that the SNR improvement gain of this new algorithm using multiple band scenes over the single scene of maximum SNR is always greater than one and in some cases it can be substantial. The data base used to simulate this new adaptive CFAR test are actual LANDSAT image scenes. The present results for optical detection are extendable to radar target detection and to other related detection problems. Keywords Detection algorithm Multiple band scenes Infrared target detection Clutter noise LANDSAT image tests. JHD

Subject Categories:

  • Cybernetics
  • Infrared Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE