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

Mapping land covers of Brussels capital region using spatially enhanced hyperspectral images

Chan, Jonathan Cheung-Wai and Yokoya, Naoto (2016) Mapping land covers of Brussels capital region using spatially enhanced hyperspectral images. In: Proceedings of 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016, pp. 1-5. IEEE Xplore. WHISPERS 2016, 21-24 Aug 2016, Los Angeles, US.

[img] PDF - Registered users only
463kB

Official URL: http://www.ieee-whispers.com/images/techprograms/whispers_2016_technical_program.pdf

Abstract

Hyperspectral data provide indispensable timely information for environmental monitoring. It has become one of the most sought after data set for many specific applications. However, for large areal coverage, spaceborne hyperspectral data are currently acquired at low resolution. Due to the proven usefulness of hyperspectral data and its potential in newer applications, many researchers have investigated novel enhancement methods for Earth Observation hyperspectral images. We have examined four different enhancement methods using a classification scheme at medium level of difficulty. Two of the examined methods are pansharpening methods and the other two are sub-space methods. The results do not show improvements in classification using spatially enhanced images except for the class of Pine trees. However, using full groundtruth of road and buildings, it is clear that spatially enhanced hyperspectral images achieve substantial improvement in classifying small sized houses. Better characterization of road networks can be visualized and also higher accuracy is observed but to a lesser extent than buildings. Among the four methods, a pansharpening method performed best.

Item URL in elib:https://elib.dlr.de/111138/
Document Type:Conference or Workshop Item (Speech)
Title:Mapping land covers of Brussels capital region using spatially enhanced hyperspectral images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Chan, Jonathan Cheung-WaiVrije Universiteit BrusselUNSPECIFIED
Yokoya, NaotoNaoto.Yokoya (at) dlr.deUNSPECIFIED
Date:21 August 2016
Journal or Publication Title:Proceedings of 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-5
Publisher:IEEE Xplore
Status:Published
Keywords:Hyperspectral, spatial enhancement, image fusion, pansharpening, land cover classification, APEX
Event Title:WHISPERS 2016
Event Location:Los Angeles, US
Event Type:international Conference
Event Dates:21-24 Aug 2016
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 > SAR Signal Processing
Deposited By: Yokoya, Naoto
Deposited On:16 Feb 2017 13:22
Last Modified:17 Feb 2017 09:55

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.