Abstract
By using sonar imaging, this paper presents a new algorithm for the clustering of seabed types based on the self-organizing feature maps (SOFM) neural network. The theory as well as data processing is studied in detail. Some valuable conclusions and suggestions are given.
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Supported by the National 863 High-Tech Program of China (No. 2007AA12Z326).
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Zhao, J., Zhang, H., Ma, F. et al. A new algorithm for clustering of seabed types. Geo-spat. Inf. Sci. 11, 279–282 (2008). https://doi.org/10.1007/s11806-008-0158-9
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DOI: https://doi.org/10.1007/s11806-008-0158-9