elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Hyperspectral Image Resolution Enhancement Based on Joint Sparsity Spectral Unmixing

Bieniarz, Jakub and Müller, Rupert and Zhu, Xiao Xiang and Reinartz, Peter (2014) Hyperspectral Image Resolution Enhancement Based on Joint Sparsity Spectral Unmixing. In: Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, pp. 2645-2648. IEEE Xplore. IGARSS 2014, 13.-18. Juli 2014, Quebec City, Canada. DOI: 10.1109/IGARSS.2014.6947017

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6947017

Abstract

Relatively low spatial resolution of the space-borne hyper-spectral images (HSI) is the main drawback to derive value added products. Recently, several techniques have been proposed in order to enhance the spatial resolution HSI by means of fusion with higher spatial resolution multispectral images. This paper presents an alternative approach based on the joint sparsity model for spectral unmixing with the use of a-priori spectral dictionary. To assess the results, we compare our algorithm with the state of the art methods.

Item URL in elib:https://elib.dlr.de/93703/
Document Type:Conference or Workshop Item (Speech)
Title:Hyperspectral Image Resolution Enhancement Based on Joint Sparsity Spectral Unmixing
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bieniarz, JakubMF-PBAUNSPECIFIED
Müller, RupertMF-PBAUNSPECIFIED
Zhu, Xiao XiangMF-PBAUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:July 2014
Journal or Publication Title:Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2014.6947017
Page Range:pp. 2645-2648
Editors:
EditorsEmail
UNSPECIFIEDIEEE
Publisher:IEEE Xplore
Status:Published
Keywords:Hyperspectral image, image fusion, resolution enhancement, sparse unmixing
Event Title:IGARSS 2014
Event Location:Quebec City, Canada
Event Type:international Conference
Event Dates:13.-18. Juli 2014
Organizer:IEEE
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:INVALID USER
Deposited On:17 Dec 2014 09:34
Last Modified:17 Dec 2014 09:34

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.