A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Peer-Reviewed Articles - Land-Use Classification of Remotely Sensed Data Using Kohonen Self-Organizing Feature Map Neural Networks - Land-use classification from a TM image by the Kohonen feature map neural networks is studied for both per-pixel and window classification; results are compared to those of the maximum-likelihood method and of the BP neural networks.
Peer-Reviewed Articles - Land-Use Classification of Remotely Sensed Data Using Kohonen Self-Organizing Feature Map Neural Networks - Land-use classification from a TM image by the Kohonen feature map neural networks is studied for both per-pixel and window classification; results are compared to those of the maximum-likelihood method and of the BP neural networks.
Peer-Reviewed Articles - Land-Use Classification of Remotely Sensed Data Using Kohonen Self-Organizing Feature Map Neural Networks - Land-use classification from a TM image by the Kohonen feature map neural networks is studied for both per-pixel and window classification; results are compared to those of the maximum-likelihood method and of the BP neural networks.
Ji, C.Y. (author)
2000
Article (Journal)
English
Classifying Highways: Hierarchical Grouping versus Kohonen Neural Networks
| Online Contents | 1995
Land Classification Using Remotely Sensed Data: Going Multilabel
| Online Contents | 2016
Identification of homogenous regions in rain-fed watershed using Kohonen neural networks
| Taylor & Francis Verlag | 2013