Dynamical Hyperspectral Unmixing With Variational Recurrent Neural Networks
Author:
Affiliation:
1. French National Center for Scientific Research (CNRS), CRAN Laboratory, University of Lorraine, Nancy, France
2. Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA
Funder
NSF
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
https://ieeexplore.ieee.org/ielam/83/9991910/10103834-aam.pdf
Reference90 articles.
1. Unmixing Analysis of a Time Series of Hyperion Images Over the Guánica Dry Forest in Puerto Rico
2. Convolutional Autoencoder for Spectral–Spatial Hyperspectral Unmixing
3. Multidate MESMA for monitoring vegetation growth forms in southern California shrublands
4. Deep-learning-based latent space encoding for spectral unmixing of geological materials
5. Change Detection for Hyperspectral Images Via Convolutional Sparse Analysis and Temporal Spectral Unmixing
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