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.
![]() |
PDF
390kB |
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: |
| ||||||||||||||||||
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 |
Repository Staff Only: item control page