Classification of multi-spectral satellite image data using improved NRBF neural networks

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5267, Issue , 2003, Pages 311-320

  Tao, Xiaoli ^a,b   Michel, Howard E ^a,b  

^a UNIVERSITY OF MASSACHUSETTS DARTMOUTH   (United States)

^b University of Massachusetts Dartmouth   (United States)

Author keywords

Classification; Linear Least Square; Normalized Radial Basis Function (NRBF); Satellite image processing; Spectral Clustering Method

Indexed keywords

LINEAR LEAST SQUARES; NORMALIZED RADIAL BASIS FUNCTION (NRBF); SATELLITE IMAGE PROCESSING; SPECTRAL CLUSTERING METHOD;

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; COMPUTER SOFTWARE; DATA REDUCTION; EMBEDDED SYSTEMS; IMAGING TECHNIQUES; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS); SPECTRUM ANALYSIS; TOPOLOGY;

SATELLITE COMMUNICATION SYSTEMS;

EID: 1242297759     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.518551     Document Type: Conference Paper

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