Accession Number:
ADA237436
Title:
Detection of Targets in Terrain Clutter by Using Multispectral Infrared Image Processing
Descriptive Note:
Final rept. Oct 1989-Dec 1990
Corporate Author:
NAVAL OCEAN SYSTEMS CENTER SAN DIEGO CA
Personal Author(s):
Report Date:
1990-12-01
Pagination or Media Count:
54.0
Abstract:
A weighted-difference signal-processing algorithm for detecting ground targets by using dual-band IR data was investigated. Three variations of the algorithm were evaluated 1 simple difference 2 minimum noise and 3 maximum SNR. The theoretical performance was compared to measured performance for two scenes collected by the NASA TIMS sensor over a rural area near Adelaide, Australia, and over a wooded area near the Redstone Arsenal. The theoretical and measured results agreed extremely well. For a given correlation coefficient and color ratio, the amount of signal-to-noise ratio gain can be predicted. However, target input SNRs and color ratios can vary considerably. For the targets and scenes evaluated here, the typical gains achieved ranged from a few dB loss targets without color to a maximum.
Descriptors:
Subject Categories:
- Infrared Detection and Detectors