Comparison of a new algorithm with the supervised classifications

Author： Emrahoğlu N.   Yeğingil İ.   Peştemalci V.   Şenkal O.   Kandirmaz H. M.  

Publisher： Taylor & Francis Ltd

ISSN： 1366-5901

Source： International Journal of Remote Sensing, Vol.24, Iss.4, 2003-02, pp. : 649-655

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

New SDP models for protein homology detection with semi-supervised SVM

By Bai Y.Q.   Niu B.L.   Chen Y.  

Optimization, Vol. 62, Iss. 4, 2013-04 ,pp. : 561-572

Taylor & Francis Ltd

Access to resources Recommend Favorite

A resource limited artificial immune system algorithm for supervised classification of multi/hyper-spectral remote sensing imagery

By Zhang L.   Zhong Y.   Huang B.   Li P.  

International Journal of Remote Sensing, Vol. 28, Iss. 7, 2007-01 ,pp. : 1665-1686

Taylor & Francis Ltd

Access to resources Recommend Favorite

A NEW STRING MATCHING ALGORITHM

By AHMED M.  

International Journal of Computer Mathematics, Vol. 80, Iss. 7, 2003-07 ,pp. : 825-834

Taylor & Francis Ltd

Access to resources Recommend Favorite

A New Droplet Collision Algorithm

By Schmidt D.P.   Rutland C.J.  

Journal of Computational Physics, Vol. 164, Iss. 1, 2000-10 ,pp. : 62-80

Academic Press

Access to resources Recommend Favorite

Comparison of maximum likelihood classification method with supervised artificial neural network algorithms for land use activities

By Erbek Sunar   Özkan C.   Taberner M.  

International Journal of Remote Sensing, Vol. 25, Iss. 9, 2004-05 ,pp. : 1733-1748

Taylor & Francis Ltd

Access to resources Recommend Favorite