Low-level segmentation of multispectral images via agglomerative clustering of uniform neighbourhoods
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2003, Computers and Electronics in AgricultureSpaRef: A clustering algorithm for multispectral images
2003, Analytica Chimica ActaCitation Excerpt :In several papers, these clustering methods are compared [2,6] but the fundamental problems remain. In other research, agglomerative hierarchical clustering is performed on a number of homogenous classes with an assumption of uniform neighbourhoods in the dataset in order to avoid the limitations of agglomerative hierarchical clustering, which is not true in general cases [7]. In this study, K-clustering and agglomerative hierarchical clustering are analysed.
Analysis of terrain using multispectral images
1997, Pattern RecognitionA review on image segmentation techniques
1993, Pattern RecognitionEdge detection in multispectral images
1991, CVGIP: Graphical Models and Image Processing
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