Hierarchical clustering of self-organizing maps for cloud classification
نویسندگان
چکیده
منابع مشابه
Hierarchical clustering of self-organizing maps for cloud classification
This paper presents a new method for segmenting multispectral satellite images. The proposed method is unsupervised and consists of two steps. During the rst step the pixels of a learning set are summarized by a set of codebook vectors using a Probabilistic Self-Organizing Map (PSOM, [9]) In a second step the codebook vectors of the map are clustered using Agglomerative Hierarchical Clustering ...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2000
ISSN: 0925-2312
DOI: 10.1016/s0925-2312(99)00141-1