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Hyperspectral images classification by fusing extinction profiles feature

He, Nanjun and Fang, Leyuan and Li, Shutao and Ghamisi, Pedram and Benediktsson, Jon Atli (2017) Hyperspectral images classification by fusing extinction profiles feature. In: IEEE 2017 Geoscience and Remote Sensing Symposium (IGARSS), pp. 2267-2270. IEEE XPlore. IGARSS 2017, 23.-28. Juli 2017, Fort Worth, TX, USA. DOI: 10.1109/IGARSS.2017.8127441 ISSN 2153-7003

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Official URL: http://ieeexplore.ieee.org/document/8127441/

Abstract

Extinction profile (EP) is an effective feature extraction method which can well preserve the geometrical characteristics of a hyperspectral image (HSI) and by extracting the EP from first three independent components (ICs) of an HSI, three correlated and complementary groups of EP features can be constructed. In this paper, an EPs fusion (EPs-F) strategy is proposed for HSI classification by exploring spatial-spectral information within and among three EP features. In general, the EPs-F method includes two stages. In the first stage, within each EP feature, a superpixel-based composite kernel strategy is proposed to adaptively fuse the spatial information of EP and the spectral feature of HSI. Then, the obtained adaptive composite kernel is used to create a classification map for each EP. In the second stage, decision fusion is further applied on different classification maps to create the final classification result. Experiments on two real HSIs verify the effectiveness of the proposed EPs-F algorithm.

Item URL in elib:https://elib.dlr.de/118213/
Document Type:Conference or Workshop Item (Speech)
Title:Hyperspectral images classification by fusing extinction profiles feature
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
He, NanjunHunan University, Changsha, ChinaUNSPECIFIED
Fang, LeyuanHunan University, Changsha, ChinaUNSPECIFIED
Li, ShutaoHunan University, Changsha, ChinaUNSPECIFIED
Ghamisi, PedramPedram.Ghamisi (at) dlr.deUNSPECIFIED
Benediktsson, Jon AtliFaculty of Electrical and Computer Engineering, University of Iceland, 107 Reykjavik, IcelandUNSPECIFIED
Date:July 2017
Journal or Publication Title:IEEE 2017 Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2017.8127441
Page Range:pp. 2267-2270
Publisher:IEEE XPlore
ISSN:2153-7003
Status:Published
Keywords:Extinction profile (EP), feature extraction method, hyperspectral image (HSI)
Event Title:IGARSS 2017
Event Location:Fort Worth, TX, USA
Event Type:international Conference
Event Dates:23.-28. Juli 2017
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, Vorhaben Optical Remote Sensing
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Zielske, Mandy
Deposited On:12 Jan 2018 15:01
Last Modified:31 Jul 2019 20:15

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