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

Spectral Enhancement of Multispectral Imagery Using Partially Overlapped Hyperspectral Data and Sparse Signal Representation

Yokoya, Naoto and Heiden, Uta and Bachmann, Martin (2018) Spectral Enhancement of Multispectral Imagery Using Partially Overlapped Hyperspectral Data and Sparse Signal Representation. Whispers 2018, 24.-26. Sept 2018, Amsterdam, The Netherlands.

[img] PDF
2MB

Abstract

Spaceborne imaging spectroscopy enables the identification and quantification of different ground-surface materials with rich spectral information, but its swath width is much narrower than those of optical broadband satellites. We present a new approach that enhances spectral resolution of multispectral imagery by using partially overlapped hyperspectral data. The proposed technique assumes that all materials in the target scene exist in the partial area observed by the hyperspectral sensor and that any pixel spectral signature can be approximated by a sparse linear combination of observed spectral signatures. We evaluate our method using simulated EnMAP and Sentinel-2 images generated from HyMap data acquired over Costa Rica in 2005. Experimental results show that the proposed method is capable of reconstructing hyperspectral data for the coverage of Sentinel-2 when the assumptions are satisfied. Furthermore, we demonstrate the effectiveness of the proposed spectral enhancement technique for subsequent data analysis by presenting spectral unmixing for discriminating bare soil and nonphotosynthetic-active vegetation.

Item URL in elib:https://elib.dlr.de/124330/
Document Type:Conference or Workshop Item (Speech)
Title:Spectral Enhancement of Multispectral Imagery Using Partially Overlapped Hyperspectral Data and Sparse Signal Representation
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Yokoya, NaotoRIKENUNSPECIFIED
Heiden, Utauta.heiden (at) dlr.deUNSPECIFIED
Bachmann, Martinmartin.bachmann (at) dlr.deUNSPECIFIED
Date:September 2018
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Data fusion, EnMAP, Sentinel-2, spectral enhancement, spectral unmixing
Event Title:Whispers 2018
Event Location:Amsterdam, The Netherlands
Event Type:international Conference
Event Dates:24.-26. Sept 2018
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):Vorhaben Spectroscopic Methods in Remote Sensing
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Heiden, Dr.rer.nat. Uta
Deposited On:06 Dec 2018 13:58
Last Modified:31 Jul 2019 20:22

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.