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Anglický jazyk
Satellite Image Clustering and Classification
Autor: Praveena Segu
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... Viac o knihe
Na objednávku
46.17 €
bežná cena: 51.30 €
O knihe
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.
- Vydavateľstvo: LAP LAMBERT Academic Publishing
- Rok vydania: 2016
- Formát: Paperback
- Rozmer: 220 x 150 mm
- Jazyk: Anglický jazyk
- ISBN: 9783659830969
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