Editorial to special issue “remote sensing data compression”

Benoit Vozel; Vladimir Lukin; Joan Serra-Sagristà

doi:10.3390/rs13183727

Editorial to special issue “remote sensing data compression”

Benoit Vozel, Vladimir Lukin^*, Joan Serra-Sagristà

^*Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer-review

1 Citation (Scopus)

Abstract

A huge amount of remote sensing data is acquired each day, which is transferred to image processing centers and/or to customers. Due to different limitations, compression has to be applied on-board and/or on-the-ground. This Special Issue collects 15 papers dealing with remote sensing data compression, introducing solutions for both lossless and lossy compression, analyzing the impact of compression on different processes, investigating the suitability of neural networks for compression, and researching on low complexity hardware and software approaches to deliver competitive coding performance.

Original language	English
Article number	3727
Journal	Remote Sensing
Volume	13
Issue number	18
DOIs	https://doi.org/10.3390/rs13183727
Publication status	Published - Sept 2021

Keywords

Compression impact
Computational complexity
Lossless compression
Lossy compression
Neural networks
Remote sensing data compression

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title = "Editorial to special issue “remote sensing data compression”",

abstract = "A huge amount of remote sensing data is acquired each day, which is transferred to image processing centers and/or to customers. Due to different limitations, compression has to be applied on-board and/or on-the-ground. This Special Issue collects 15 papers dealing with remote sensing data compression, introducing solutions for both lossless and lossy compression, analyzing the impact of compression on different processes, investigating the suitability of neural networks for compression, and researching on low complexity hardware and software approaches to deliver competitive coding performance.",

keywords = "Compression impact, Computational complexity, Lossless compression, Lossy compression, Neural networks, Remote sensing data compression",

author = "Benoit Vozel and Vladimir Lukin and Joan Serra-Sagrist{\`a}",

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year = "2021",

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KW - Lossy compression

KW - Neural networks

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Editorial to special issue “remote sensing data compression”

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