Landsat 8 OLI Satellite Image Classification using Convolutional Neural Network

An automated method for classification of multispectral satellite images using image fusion is presented in this paper. Principal Component Analysis(PCA),and convolutional neural network (CNN).This proposed method first take multispectral satellite image and apply Brovey transform method for fusion...

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Bibliographic Details
Published in:Procedia computer science 2020, Vol.167, p.987-993
Main Authors: Rai, Amit Kumar, Mandal, Nirupama, Singh, Akansha, Singh, Krishna Kant
Format: Article
Language:English
Subjects:
Brovey Transform
CNN
PCA
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Summary:An automated method for classification of multispectral satellite images using image fusion is presented in this paper. Principal Component Analysis(PCA),and convolutional neural network (CNN).This proposed method first take multispectral satellite image and apply Brovey transform method for fusion of three RGB bands with panchromatic band shaving spatial resolution of 30m and 15m respectively. Then Principal Component Analysis is applied on fused images for reducing dimension. After that Convolutional Neural Network has been applied for classification purpose. Classification outcomes of the proposed method are matched with FCM, GIFP-FCM,and FKLICM.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2020.03.398