Reduced-Complexity Multirate Remote Sensing Data Compression With Neural Networks
Author:
Affiliation:
1. Department of Information and Communications Engineering, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
2. IRIT/INP-ENSEEIHT, Université de Toulouse, Toulouse, France
3. ISAE-SUPAERO, Université de Toulouse, Toulouse, France
Funder
Institute for Artificial and Natural Intelligence Toulouse
Catalan Government
Spanish Ministry of Economy and Competitiveness
European Regional Development Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10288533.pdf?arnumber=10288533
Reference33 articles.
1. Multispectral Transforms Using Convolution Neural Networks for Remote Sensing Multispectral Image Compression
2. Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation
3. Reduced-Complexity End-to-End Variational Autoencoder for on Board Satellite Image Compression
4. Learning-Based Hyperspectral Imagery Compression through Generative Neural Networks
5. Adam: A method for stochastic optimization;kingma;Proc Int Conf Learn Represent,2014
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