DocumentCode :
156835
Title :
Study of neural network algorithm of the earth remote sensing data clustering
Author :
Ivanov, O.Yu. ; Vorobyova, A.S.
Author_Institution :
Ural Fed. Univ., Yekaterinburg, Russia
fYear :
2014
fDate :
7-13 Sept. 2014
Firstpage :
1215
Lastpage :
1216
Abstract :
The algorithm of the autonomous classification of objects from their satellite images is offered and studied. The algorithm is based on the neural network technologies. The algorithm was tested and recommendations for it using are proposed. The examples of real images processing are presented.
Keywords :
geophysical image processing; image classification; neural nets; remote sensing; Earth remote sensing data clustering; autonomous object classification; image processing; neural network algorithm; satellite images; Algorithm design and analysis; Artificial neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave & Telecommunication Technology (CriMiCo), 2014 24th International Crimean Conference
Conference_Location :
Sevastopol
Print_ISBN :
978-966-335-412-5
Type :
conf
DOI :
10.1109/CRMICO.2014.6959836
Filename :
6959836
Link To Document :
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