Landsat 8 OLI Satellite Image Classification using Convolutional Neural Network
Amit Kumar Rai, Nirupama Mandal, Akansha Singh, Krishna Kant Singh
Abstract
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.
Topics & Concepts
Panchromatic filmComputer sciencePrincipal component analysisMultispectral imageConvolutional neural networkArtificial intelligencePattern recognition (psychology)SatelliteImage fusionContextual image classificationRGB color modelImage resolutionArtificial neural networkDimension (graph theory)Remote sensingImage (mathematics)MathematicsEngineeringAerospace engineeringGeologyPure mathematicsAdvanced Image Fusion TechniquesRemote-Sensing Image ClassificationRemote Sensing and Land Use