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/ | ||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||
Title: | Hyperspectral images classification by fusing extinction profiles feature | ||||||||||||||||||
Authors: |
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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 - 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 15:01 | ||||||||||||||||||
Last Modified: | 31 Jul 2019 20:15 |
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