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Extinction Profiles Fusion for Hyperspectral Images Classification

Fang, Leyuan and He, Nanjun and Li, Shutao and Ghamisi, Pedram and Benediktsson, Jon Atli (2018) Extinction Profiles Fusion for Hyperspectral Images Classification. IEEE Transactions on Geoscience and Remote Sensing, 56 (3), pp. 1803-1815. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2017.2768479. ISSN 0196-2892.

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/document/8118159/

Abstract

An extinction profile (EP) is an effective spatial-spectral feature extraction method for hyperspectral images (HSIs), which has recently drawn much attention. However, the existing methods utilize the EPs in a stacking way, which is hard to fully explore the information in EPs for HSI classification. In this paper, a novel fusion framework termed EPs-fusion (EPs-F) is proposed to exploit the information within and among EPs for HSI classification. In general, EPs-F includes the following two stages. In the first stage, by extracting the EPs from three independent components of an HSI, three complementary groups of EPs can be constructed. For each EP, an adaptive superpixel-based composite kernel strategy is proposed to explore the spatial information within an EP. The weights to create the composite kernel and the number of superpixels are automatically determined based on the spatial information of each EP. In the second stage, since the different EPs contain highly complementary information, a simple yet effective decision fusion method is further applied to obtain the final classification result. Experiments on three real HSI data sets verify the qualitative and quantitative superiority of the proposed EPs-F method over several state-of-the-art HSI classifiers.

Item URL in elib:https://elib.dlr.de/118215/
Document Type:Article
Title:Extinction Profiles Fusion for Hyperspectral Images Classification
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Fang, LeyuanHunan University, Changsha, ChinaUNSPECIFIED
He, NanjunHunan 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:March 2018
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:56
DOI :10.1109/TGRS.2017.2768479
Page Range:pp. 1803-1815
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:Published
Keywords:extinction profile (EP), hyperspectral images (HSIs), feature extraction method
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), R - Optical remote sensing
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Zielske, Mandy
Deposited On:12 Jan 2018 15:15
Last Modified:10 Dec 2018 12:37

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