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Expanding the Algorithmic Information Theory Frame for Applications to Earth Observation

Cerra, Daniele and Datcu, Mihai (2013) Expanding the Algorithmic Information Theory Frame for Applications to Earth Observation. Entropy, 15 (1), pp. 407-415. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/e15010407 ISSN 1099-4300

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Official URL: http://www.mdpi.com/1099-4300/15/1/407

Abstract

Recent years have witnessed an increased interest towards compression-based methods and their applications to remote sensing, as these have a data-driven and parameter-free approach and can be thus succesfully employed in several applications, especially in image information mining. This paper expands the algorithmic information theory frame, on which these methods are based. On the one hand, algorithms originally defined in the pattern matching domain are reformulated, allowing a better understanding of the available compression-based tools for remote sensing applications. On the other hand, the use of existing compression algorithms is proposed to store satellite images with added semantic value.

Item URL in elib:https://elib.dlr.de/81047/
Document Type:Article
Title:Expanding the Algorithmic Information Theory Frame for Applications to Earth Observation
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cerra, DanieleDLRUNSPECIFIED
Datcu, MihaiDLRUNSPECIFIED
Date:22 January 2013
Journal or Publication Title:Entropy
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:15
DOI :10.3390/e15010407
Page Range:pp. 407-415
Editors:
EditorsEmail
Knuth, Kevin H.kknuth@albany.edu
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:1099-4300
Status:Published
Keywords:Algorithmic information theory; data compression; remote sensing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Cerra, Daniele
Deposited On:04 Feb 2013 11:09
Last Modified:21 Sep 2019 05:05

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