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Advanced Spectral Classifiers for Hyperspectral Images: A Review

Ghamisi, Pedram and Plaza, Javier and Chen, Yushi and Li, Jun and Plaza, Antonio (2017) Advanced Spectral Classifiers for Hyperspectral Images: A Review. IEEE Geoscience and Remote Sensing Magazine (GRSM), 5 (1), pp. 8-32. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/MGRS.2016.2616418 ISSN 2168-6831

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Official URL: http://ieeexplore.ieee.org/document/7882742/


Item URL in elib:https://elib.dlr.de/109126/
Document Type:Article
Title:Advanced Spectral Classifiers for Hyperspectral Images: A Review
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ghamisi, Pedramdlr-imf/tum-lmfUNSPECIFIED
Plaza, JavierUniversity of ExtremaduraUNSPECIFIED
Chen, Yushiharbin institute of technologyUNSPECIFIED
Li, JunSun Yat-sen UniversityUNSPECIFIED
Plaza, Antonioaplaza (at) unex.esUNSPECIFIED
Date:2017
Journal or Publication Title:IEEE Geoscience and Remote Sensing Magazine (GRSM)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:5
DOI :10.1109/MGRS.2016.2616418
Page Range:pp. 8-32
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2168-6831
Status:Published
Keywords:Hyperspectral Image Classification, Support Vector Machines, Random Forests, Neural Networks, Extreme Learning Machine, Deep Learning, Multinomial Logistic Regression.
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: Ghamisi, Pedram
Deposited On:07 Dec 2016 12:23
Last Modified:06 Sep 2019 15:30

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