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