Crop and weed species recognition based on hyperspectral sensing and active learning

Precision Agriculture 2013 - Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013

Volumn , Issue , 2013, Pages 555-561

  Moshou, D ^a   Kateris, D ^a   Pantazi, X E ^a   Gravalos, I ^b  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b TECHNOLOGICAL EDUCATIONAL INSTITUTE OF LARISSA   (Greece)

Author keywords

Mixture of Gaussians; One class classifier; Self organizing map; Spectrograph

Indexed keywords

ACTIVE LEARNING METHODS; CROP RECOGNITION; FIELD CONDITIONS; HYPERSPECTRAL SENSING; MIXTURE OF GAUSSIANS; MIXTURE OF GAUSSIANS (MOG); ONE-CLASS CLASSIFIER; SPECTRAL REFLECTANCES;

CONFORMAL MAPPING; MIXTURES; SELF ORGANIZING MAPS; SPECTROGRAPHS;

CROPS;

EID: 84893397497     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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