Publisher： Taylor & Francis Ltd
ISSN： 1366-5901
Source： International Journal of Remote Sensing, Vol.29, Iss.20, 2008-10, pp. : 6029-6036
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Related content
SVM-based segmentation and classification of remotely sensed data
By Lizarazo I.
International Journal of Remote Sensing, Vol. 29, Iss. 24, 2008-12 ,pp. :
Access to resources
Recommend
Data preprocessing in semi-supervised SVM classification
By Astorino A.
Optimization, Vol. 60, Iss. 1-2, 2011-01 ,pp. :