Сomputational procedures for thematic processing of space imagery for agricultural resources monitoring (part 2)

• Datum: 2020
• Hauptverfasser: Kuzmin, Anatolii V., Grekov, Leonid D., Kuzmina, Nataliia M., Petrov, Oleksii A., Medvedenko, Olena M.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: Kyiv National University of Construction and Architecture 2020
• Schlagworte: clustering algorithm; satellite space images; grid; cell; point density; neighborhood ratio; agrarian resources; natural landscapes; forest resources
• Online Zugang: https://es-journal.in.ua/article/view/199705
• Назва журналу: Environmental safety and natural resources

The universal fast algorithm of cluster analysis is considered. The proposed algorithm is a grid type, it uses the point density parameter in the grid cell and the ratio between neighborhoods to unite of neighboring dense cells into clusters.The algorithm sequentially calculates for each point the n...