Evaluation of two-color missile detection algorithms against real backgrounds

被引：4

作者：

Baxley, FO ^{[1
]}

Sanderson, RB ^{[1
]}

Montgomery, JB ^{[1
]}

McCalmont, JF ^{[1
]}

机构：

[1] Veridian, Dayton, OH 45431 USA

来源：

SIGNAL AND DATA PROCESSING OF SMALL TARGETS 2000 | 2000年 / 4048卷

关键词：

missile warning; threat detection; infrared; multicolor; point threats; detection algorithms;

D O I：

10.1117/12.391971

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Missile warning is one of the most significant problems facing aircraft flying into regions of unrest around the world. Recent advances in technology provide new avenues for detecting these threats and have permitted the use of imaging detectors and multi-color systems. Detecting threats while maintaining a low false alarm rate is the most demanding challenge facing these systems. Using data from AFRL's Spectral Infrared Detection System (SIRDS) test bed, the efficacy of alternative spectral threat detection algorithms developed around these technologies are evaluated and compared. The data used to evaluate the algorithms cover a range of clutter conditions including urban, industrial, maritime, and rural. Background image data were corrected for non-uniformity and filtered to enhance threat to clutter response. The corrected data were further processed and analyzed statistically to determine probability of detection thresholds and the corresponding probability of false alarm. The results are summarized for three algorithms including simple threshold detection, background normalized analysis, and an inter-band correlation detection algorithm.

引用

页码：112 / 121

页数：10