Abstract
Considering the feature of remote sensing images, we put forward a remote sensing image classification algorithm based on Hopfield neural network. First, the function and principle of Hopfield neural network is described in this paper. Then based on the common model of Hopfield neural network, the image classification algorithm using Hopfield neural network is realized and experimental results show that its precision is superior to that of the conventional maximum likelihood classification algorithm. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Dong, G. J., Zhang, Y. S., & Zhu, C. J. (2006). Remote sensing image classification algorithm based on hopfield neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3972 LNCS, pp. 337–342). Springer Verlag. https://doi.org/10.1007/11760023_49
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