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The Number of Classes in the Cluster Analysis of Space Images for Forest State Monitorin

Yu.F. Rozhkov*, M.Yu. Kondakova** Abstract. The possibility of combination of two cluster analysis tools for forests state monitoring was assessed. Multispectral space images of high resolution Landsat TM / ETM + and ultra-high resolution RGB-coating DigitalGlobe and their fragments were subjected to two-stage processing. At first unsupervised classification was performed using the ISODATA (Iterative Self-Organizing Data

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