This research book focused on the satellite image clustering by developing numerical algorithm to analyse the satellite images captured by satellites. In this book it is aimed to enhance the classification accuracy. In this research work, three algorithms were proposed. Each approach goes through three phrases i.e preprocessing, segmentation and classification. Clustering algorithms are used at segmentation stage. The proposed clustering algorithms is Moving KFCM algorithm. Feed forward neural network classifier is used at classification stage. After a study of several test images it is shown that Moving KFCM algorithm is working well for finding all regions like trees, shades, buildings and roads.
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She completed her B.Tech from RGMCET(Rajeev Gandhi Memorial college of Engineering and Technology) Nandyal,A.P and PG,Ph.d from JNTUH HYDERABD in the years 2006,2016 respectively. Presently working at MGIT as Asst.prof in the dept of ECE from past 12 years. Published 15 papers in various national and international journals and conferences..
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Paperback. Zustand: Brand New. 92 pages. 8.66x5.91x0.21 inches. In Stock. Artikel-Nr. 3659830968
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Taschenbuch. Zustand: Neu. Satellite Image Clustering and Classification | Praveena Segu | Taschenbuch | 92 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659830969 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 103549165
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