Hyperspectral Data Compression Using Fully Convolutional Autoencoder

In space science and satellite imagery, better resolution of the data information obtained makes images clearer and interpretation more accurate. However, the huge data volume gained by the complex on-board satellite instruments becomes a problem that needs to be managed carefully. To reduce the dat...

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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 14; no. 10; p. 2472
Main Authors:	La Grassa, Riccardo, Re, Cristina, Cremonese, Gabriele, Gallo, Ignazio
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.05.2022
Subjects:	Algorithms Approximation autoencoder Benchmarks Compression Compression ratio Computer vision Data compression Datasets Deep learning Image compression Image processing Image reconstruction Machine learning Neural networks Noise Remote sensing Satellite imagery satellite images Satellite instruments Satellites Signal reconstruction Wavelet transforms
ISSN:	2072-4292, 2072-4292
Online Access:	Get full text
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