On the impact of covariance contamination for adaptive detection in hyperspectral imaging

被引:25
作者
Farrell, MD [1 ]
Mersereau, RM [1 ]
机构
[1] Georgia Inst Technol, Ctr Signal & Image Proc, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
关键词
adaptive detection; covariance contamination; hyperspectral imaging (HSI);
D O I
10.1109/LSP.2005.853045
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
Adaptive detection has been a staple in areas such as radar and sonar for a number of years. A key tenet of adaptive detectors is their use of a "noise only" covariance estimate from a secondary data set. When samples bearing the target signal are included in this covariance estimate, it becomes contaminated. The impact of covariance contamination is evaluated for three popular adaptive detection statistics. Multiple test cases are presented using real data, not simulations, and it is shown that significant contamination occurs with as few as eight target samples included in a 100 000+ sample covariance estimate. In addition to number of samples, sensitivity of the detection statistic to contamination from targets present also depends on algorithm type. Hyperspectral imaging (HSI) data offer insight into the impact of covariance contamination on adaptive detection and how it is related to signal-to-noise ratio (SNR) and spectral similarity.
引用
收藏
页码:649 / 652
页数:4
相关论文
共 11 条
[1]   THE EFFECTS OF SIGNAL CONTAMINATION ON 2 ADAPTIVE DETECTORS [J].
GERLACH, K .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1995, 31 (01) :297-309
[2]  
Kay S.M., 1998, FUNDAMENTALS STAT SI
[3]  
Kelly E. J., 1986, 761 MIT LINC LAB
[4]   AN ADAPTIVE DETECTION ALGORITHM [J].
KELLY, EJ .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1986, 22 (02) :115-127
[5]   Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries [J].
Keshava, N .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2004, 42 (07) :1552-1565
[6]   Recent results from AHI, an LWIR hyperspectral imager [J].
Lucey, PG ;
Williams, T ;
Winter, M .
IMAGING SPECTROMETRY IX, 2003, 5159 :361-369
[7]   Performance characterization of space-time adaptive processing algorithms for distributed target detection in non-ideal environments [J].
McDonald, KF ;
Blum, RS .
PROCEEDINGS OF THE 2002 IEEE RADAR CONFERENCE, 2002, :298-303
[8]   RAPID CONVERGENCE RATE IN ADAPTIVE ARRAYS [J].
REED, IS ;
MALLETT, JD ;
BRENNAN, LE .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1974, AE10 (06) :853-863
[9]  
ROBERTS DJ, 1992, DRUGS TODAY SB, V28, P1
[10]  
Scharf L., 1996, P 30 AS C SIGN SYST, P1114