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 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.