A neural adaptive model for hyperspectral data classification under minimal training conditions

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5573, Issue , 2004, Pages 173-181

  Binaghi, E ^a   Gallo, I ^a   Boschetti, M ^b   Brivio, P A ^b  

^a UNIVERSITY OF INSUBRIA   (Italy)

^b INSTITUTE FOR ELECTROMAGNETIC SENSING OF THE ENVIRONMENT   (Italy)

Author keywords

Adaptive techniques; Hyperspectral data; Neural Network; Supervised classification; Support Vector Machine

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; IMAGE ANALYSIS; LAND USE; NEURAL NETWORKS; REMOTE SENSING; ROBUSTNESS (CONTROL SYSTEMS);

APAPTIVE TECHNIQUES; HYPERSPECTRAL DATA; SUPERVISED CLASSIFICATION; SUPPORT VECTOR MACHINES;

IMAGING TECHNIQUES;

EID: 17644370663     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.567950     Document Type: Conference Paper

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