Satellite Image Clustering and Classification - Segu, Praveena
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
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..