IEEE

Unsupervised Spectral–Spatial Feature Extraction With Generalized Autoencoder for Hyperspectral Imagery

Abstract: In this letter, we discuss unsupervised feature extraction on hyperspectral imagery (HSI) and propose a novel approach based on autoencoder (AE) networks to extract spectral-spatial features ...
Scientific Research Publishing

End-to-End Auto-Encoder System for Deep Residual Shrinkage Network for AWGN Channels ()

1 School of Mathematical Sciences, Guizhou Normal University, Guiyang, China. 2 School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China. With the rapid development of deep ...
IEEE

Spectral–Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering

Abstract: Autoencoder (AE) is an unsupervised neural network framework for efficient and effective feature extraction. Most AE-based methods do not consider spatial information and band correlations ...