Publisher： Taylor & Francis Ltd
ISSN： 1366-5901
Source： International Journal of Remote Sensing, Vol.18, Iss.4, 1997-03, pp. : 829-845
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Abstract. We apply a new category classification method to remote sensing data. This is a supervised and non-parametric method and employs both a selforganizing neural network and a k -nearest neighbour method. One of the features of the category is represented by the neuron weights after training the neural network based on a competitive learning role. From experimental results, we can see that the proposed method obtains superior classification results compared to other methods.
Related content
A self-organizing neural-network-based fuzzy system
Fuzzy Sets and Systems, Vol. 103, Iss. 1, 1999-04 ,pp. :
Access to resources
Recommend
By Goncalves M. L. Netto M. L. A. Costa J. A. F. Zullo Junior J.
International Journal of Remote Sensing, Vol. 29, Iss. 11, 2008-06 ,pp. :
Water‐Rich Biomimetic Composites with Abiotic Self‐Organizing Nanofiber Network
ADVANCED MATERIALS, Vol. 30, Iss. 1, 2018-01 ,pp. :