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Multi-sensor Data Fusion for Multi- and Hyperspectral Resolution Enhancement Based on Sparse Representations

Grohnfeldt, Claas (2017) Multi-sensor Data Fusion for Multi- and Hyperspectral Resolution Enhancement Based on Sparse Representations. Dissertation. DLR-Forschungsbericht. 2017-50, 201 S. doi: 10.14459/2017md1366768.

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Official URL: http://mediatum.ub.tum.de?id=1366768


Item URL in elib:https://elib.dlr.de/114410/
Document Type:Monograph (DLR-Forschungsbericht, Dissertation)
Title:Multi-sensor Data Fusion for Multi- and Hyperspectral Resolution Enhancement Based on Sparse Representations
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Grohnfeldt, ClaasClaas.Grohnfeldt (at) dlr.dehttps://orcid.org/0000-0001-8270-9360
Date:31 August 2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.14459/2017md1366768
Number of Pages:201
ISSN:1434-8454
Status:Published
Keywords:Data Fusion, Signal Processing, Sparse Representation,, Super-resolution, Remote Sensing, High-performance Computing
Institution:Technische Universität München
Department:Signal Processing in Earch Observation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Grohnfeldt, Claas
Deposited On:20 Nov 2017 11:00
Last Modified:31 Jul 2019 20:11

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