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Found 5 papers, 1 papers with code
Hyperspectral Unmixing Using a Neural Network Autoencoder
Also, deep encoders are tested using different activation functions.
Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network
In this paper, we propose a method using a three dimensional convolutional neural network (3-D-CNN) to fuse together multispectral (MS) and hyperspectral (HS) images to obtain a high resolution hyperspectral image.
Hyperspectral Subspace Identification Using SURE
However, due to spectral and spatial redundancy the true hyperspectral signal lies on a subspace of much lower dimension than the original data.
Classification of Big Data with Application to Imaging Genetics
In this paper, we consider the problem of classifying p>>n data and propose a classification method based on linear discriminant analysis (LDA).
MIST: L0 Sparse Linear Regression with Momentum
Significant attention has been given to minimizing a penalized least squares criterion for estimating sparse solutions to large linear systems of equations.
