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...

Full description

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

Internet

https://www.mdpi.com/2313-433X/6/4/24

Similar Items