Processing of multi-sensor data using correlation filters

被引:4
作者
Mahalanobis, A [1 ]
机构
[1] Raytheon Missile Syst Co, Tucson, AZ 85731 USA
来源
ALGORITHMS, DEVICES, AND SYSTEMS FOR OPTICAL INFORMATION PROCESSING | 1998年 / 3466卷
关键词
D O I
10.1117/12.326799
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The theory of correlation filters does not make any assumptions about the sensor or image format. Thus the same class of algorithms is readily applicable to multiple sensor environments such as IR, SAR, LADAR, or CCD (visual). The advantage is that the same theory is valid for multiple sensor applications, the processing steps are common (and code) are re-usable in different sensor platforms, and the algorithms are rapidly re-trainable. The paper points out the key benefits resulting from the general formulation and solution resulting from the correlation approach to ATR.
引用
收藏
页码:56 / 64
页数:9
相关论文
共 7 条
[1]  
KUMAR BVK, 1992, APPL OPTICS, V31, P1773
[2]  
MAHALANOBIS, 1996, CRITICAL REV OPTI CR, V65, P210
[3]   MULTICLASS SAR ATR USING SHIFT-INVARIANT CORRELATION FILTERS [J].
MAHALANOBIS, A ;
FORMAN, AV ;
DAY, N ;
BOWER, M ;
CHERRY, R .
PATTERN RECOGNITION, 1994, 27 (04) :619-626
[4]  
MAHALANOBIS A, 1993, P SOC PHOTO-OPT INS, V2026, P325, DOI 10.1117/12.163625
[5]   UNCONSTRAINED CORRELATION FILTERS [J].
MAHALANOBIS, A ;
KUMAR, BVKV ;
SONG, S ;
SIMS, SRF ;
EPPERSON, JF .
APPLIED OPTICS, 1994, 33 (17) :3751-3759
[6]  
MAHALANOBIS A, 1998, P SPIE ALGORITHMS SY, V5
[7]  
MAHALANOBIS A, 1991, P SOC PHOTO-OPT INS, V2238, P2