Experimental evaluation of neural, statistical and model-based approaches to FLIR ATR

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3371, Issue , 1998, Pages 388-397

  Li, Baoxin ^a   Zheng, Qinfen ^a   Der, Sandor ^a   Chellappa, Rama ^a   Nasrabadi, Nasser M ^a   Chan, Lipchen A ^a   Wang, LinCheng ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

Automatic target recognition; Performance evaluation

Indexed keywords

ALGORITHMS; CONVOLUTION; DATA STRUCTURES; DATABASE SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; INFRARED DEVICES; MATHEMATICAL MODELS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; VECTOR QUANTIZATION;

CONVOLUTION NEURAL NETWORK; FORWARD-LOOKING INFRARED IMAGERY; LEARNING VECTOR QUANTIZATION; LINEAR DISCRIMINANT ANALYSIS; MODULAR NEURAL NETWORK;

AUTOMATIC TARGET RECOGNITION;

EID: 0032404387     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.323856     Document Type: Conference Paper

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