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Multiple composite kernel learning for hyperspectral image classification

Du, Peijun and Xia, Junshi and Ghamisi, Pedram and Iwasaki, Akira and Benediktsson, Jon Atli (2017) Multiple composite kernel learning for hyperspectral image classification. In: 2017 IEEE Geoscience and Remote Sensing Symposium (IGARSS), pp. 2223-2226. IEEE Xplore. IGARSS 2017, 23.-28. Juli 2017, Fort Worth, TX, USA. ISSN 2153-7003.

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Official URL: http://ieeexplore.ieee.org/document/8127430/

Abstract

In this work, we develop a new framework to combine ensemble learning and composite kernel learning for hyperspectral image classification. We refer it as the multiple composite kernel learning, which is based on an iterative architecture. More specifically, in each iteration, we use the rotation-based ensemble to create rotation matrix, which is used to generate rotated features for both spectral and spatial information (e.g., extinction profiles). Then, the new spectral and spatial features are integrated into the composite kernels based on support vector machines classifier. Different rotation matrices will lead to obtaining various newly spectral and spatial characteristics, thereby they further increase the diversity and the classification performance. Experimental results on Indian Pines benchmark hyperspectral dataset demonstrate the excellent performance of the proposed method.

Item URL in elib:https://elib.dlr.de/118211/
Document Type:Conference or Workshop Item (Speech)
Title:Multiple composite kernel learning for hyperspectral image classification
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Du, PeijunNanjing University, ChinaUNSPECIFIED
Xia, JunshiUniversity of Tokio, JapanUNSPECIFIED
Ghamisi, PedramPedram.Ghamisi (at) dlr.deUNSPECIFIED
Iwasaki, Akiraaiwasaki (at) sal.rcast.u-tokyo.ac.jpUNSPECIFIED
Benediktsson, Jon AtliFaculty of Electrical and Computer Engineering, University of Iceland, 107 Reykjavik, IcelandUNSPECIFIED
Date:July 2017
Journal or Publication Title:2017 IEEE 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
Page Range:pp. 2223-2226
Publisher:IEEE Xplore
ISSN:2153-7003
Status:Published
Keywords:Multiple composite kernel learning, hyperspectral image classification
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 14:59
Last Modified:31 Jul 2019 20:15

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