COMPARATIVE PERFORMANCE ANALYSIS OF ADAPTIVE MULTISPECTRAL DETECTORS

被引：115

作者：

YU, XL ^{[1
]}

REED, IS ^{[1
]}

STOCKER, AD ^{[1
]}

机构：

[1] UNIV SO CALIF,DEPT ELECT ENGN,LOS ANGELES,CA 90089

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1993年 / 41卷 / 08期

关键词：

D O I：

10.1109/78.229895

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The fully adaptive hypothesis testing algorithm developed by Reed and Yu for detecting low-contrast objects of unknown spectral features in a nonstationary background is extended to the case where the relative spectral signatures of objects can be specified in advance. The resulting background-adaptive algorithm is analyzed and shown to achieve robust spectral feature discrimination with a constant false-alarm rate (CFAR) performance. A comparative performance analysis of the two algorithms establishes some important theoretical properties of adaptive spectral detectors and leads to practical guidelines for applying the algorithms to multispectral sensor data. The adaptive detection of actual man-made artifacts in a natural background is demonstrated by processing multiband infrared imagery collected by the Thermal Infrared Multispectral Scanner (TIMS) instrument.

引用

页码：2639 / 2656

页数：18