Ghamisi, Pedram and Souza, Roberto and Benediktsson, Jon Atli and Rittner, Leticia and Lotufo, Roberto and Zhu, Xiao Xiang (2016) Hyperspectral Data Classification Using Extended Extinction Profiles. IEEE Geoscience and Remote Sensing Letters, 13 (11), pp. 1641-1645. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/LGRS.2016.2600244. ISSN 1545-598X.
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Official URL: http://ieeexplore.ieee.org/document/7551242/
Abstract
This letter proposes a new approach for the spectral–spatial classification of hyperspectral images, which is based on a novel extrema-oriented connected filtering technique, entitled as extended extinction profiles. The proposed approach progressively simplifies the first informative features extracted from hyperspectral data considering different attributes. Then, the classification approach is applied on two well-known hyperspectral data sets, i.e., Pavia University and Indian Pines, and compared with one of the most powerful filtering approaches in the literature, i.e., extended attribute profiles. Results indicate that the proposed approach is able to efficiently extract spatial information for the classification of hyperspectral images automatically and swiftly. In addition, an array-based node-oriented max-tree representation was carried out to efficiently implement the proposed approach.
Item URL in elib: | https://elib.dlr.de/106356/ | |||||||||||||||||||||
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Document Type: | Article | |||||||||||||||||||||
Title: | Hyperspectral Data Classification Using Extended Extinction Profiles | |||||||||||||||||||||
Authors: |
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Date: | August 2016 | |||||||||||||||||||||
Journal or Publication Title: | IEEE Geoscience and Remote Sensing Letters | |||||||||||||||||||||
Refereed publication: | Yes | |||||||||||||||||||||
Open Access: | Yes | |||||||||||||||||||||
Gold Open Access: | No | |||||||||||||||||||||
In SCOPUS: | Yes | |||||||||||||||||||||
In ISI Web of Science: | Yes | |||||||||||||||||||||
Volume: | 13 | |||||||||||||||||||||
DOI : | 10.1109/LGRS.2016.2600244 | |||||||||||||||||||||
Page Range: | pp. 1641-1645 | |||||||||||||||||||||
Editors: |
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Publisher: | IEEE - Institute of Electrical and Electronics Engineers | |||||||||||||||||||||
ISSN: | 1545-598X | |||||||||||||||||||||
Status: | Published | |||||||||||||||||||||
Keywords: | Extended multiextinction profile (EMEP), hyperspectral data classification, random forests (RFs), support vector machines (SVMs). | |||||||||||||||||||||
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) | |||||||||||||||||||||
Location: | Oberpfaffenhofen | |||||||||||||||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > SAR Signal Processing | |||||||||||||||||||||
Deposited By: | Ghamisi, Pedram | |||||||||||||||||||||
Deposited On: | 19 Oct 2016 10:00 | |||||||||||||||||||||
Last Modified: | 31 Jul 2019 20:03 |
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