Automatic target detection using multispectral imaging

Proceedings - Applied Imagery Pattern Recognition Workshop

Volumn 2002-January, Issue , 2002, Pages 55-59

  Karaçali, Bilge ^a   Snyder, Wesley ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b North Carolina State University   (United States)

Author keywords

Analytical models; Hyperspectral imaging; Hyperspectral sensors; Intelligent sensors; Maximum likelihood detection; Multispectral imaging; Nearest neighbor searches; Object detection; Support vector machine classification; Support vector machines

Indexed keywords

ANALYTICAL MODELS; CLASSIFICATION (OF INFORMATION); COST EFFECTIVENESS; IMAGE SEGMENTATION; MAXIMUM LIKELIHOOD; NEAREST NEIGHBOR SEARCH; OBJECT DETECTION; OBJECT RECOGNITION; PATTERN RECOGNITION; PROBLEM SOLVING; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

HYPERSPECTRAL IMAGING; HYPERSPECTRAL SENSORS; INTELLIGENT SENSORS; MAXIMUM LIKELIHOOD DETECTION; MULTISPECTRAL IMAGING; SUPPORT VECTOR MACHINE CLASSIFICATION;

RADAR TARGET RECOGNITION;

EID: 26344439411     PISSN: 21642516     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIPR.2002.1182255     Document Type: Conference Paper

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