Simplifying support vector machines for regression analysis of hyperspectral imagery

WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing

Volumn , Issue , 2009, Pages

  Rabe, Andreas ^a   Van Der Linden, Sebastian ^a   Hostert, Patrick ^a  

^a HUMBOLDT UNIVERSITY   (Germany)

Author keywords

Approximation; EnMAP; Hyperspectral; Regression; Support vector machines; SVM

Indexed keywords

APPROXIMATION QUALITY; DRY VEGETATION; HIGH POTENTIAL; HYPERSPECTRAL; HYPERSPECTRAL IMAGERY; HYPERSPECTRAL REFLECTANCE; LEAF AREA INDEX; PROCESSING TIME; REDUCTION RATE; REGRESSION FUNCTION; REGRESSION PROBLEM; REGRESSION SUPPORT VECTOR MACHINES; SUPPORT VECTOR;

IMAGE ANALYSIS; REGRESSION ANALYSIS; REMOTE SENSING; SIGNAL PROCESSING; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 72049101215     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2009.5289090     Document Type: Conference Paper

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