Classification of Compressed Remote Sensing Multispectral Images via Convolutional Neural Networks

Classification of Compressed Remote Sensing Multispectral Images via Convolutional Neural Networks

Multispectral sensors constitute a core Earth observation image technology generating massive high-dimensional observations. To address the communication and storage constraints of remote sensing platforms, lossy data compression becomes necessary, but it unavoidably introduces unwanted artifacts. I...

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Bibliographic Details
Main Authors: Michalis Giannopoulos, Anastasia Aidini, Anastasia Pentari, Konstantina Fotiadou, Panagiotis Tsakalides
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Journal of Imaging
Subjects:
multispectral image classification
deep learning
convolutional neural networks
residual learning
compression
quantization
Online Access:https://www.mdpi.com/2313-433X/6/4/24

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