Hyper Spectral Image Noise Removal Using CNN Classifier
R. Kabilan, Dr.Ravi R, M Praisy, T. Priyanka, Valli Selvam J · SSRN Electronic Journal · 2019
This project proposes Multilevel Cloud Detection in Remote Sensing Images (Hyperspectral Image) Based on Deep Learning and FLIC approach. The median filter is used for preprocessing. FLIC converts image into high-quality superpixels. DWT algorithm is used for the segmentation process. The proposed CNN and SRC classifier remove noises in the Hyperspectral cloud image. This project is implemented using MATLAB simulation.