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Object Based Fusion of Polarimetric SAR and Hyperspectral Imaging for Land Use Classification

Hu, Jingliang and Ghamisi, Pedram and Schmitt, Andreas and Zhu, Xiao Xiang (2016) Object Based Fusion of Polarimetric SAR and Hyperspectral Imaging for Land Use Classification. In: Proceedings of 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016, pp. 1-5. IEEE Xplore. WHISPERS 2016, 21-24 August 2016, Los Angeles, USA.

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Abstract

In this paper, we propose an object-based fusion approach for the joint use of polarimetric synthetic aperture radar (PolSAR) and hyperspectral data. The proposed approach extracts information from both datasets based on an object-level, which is used here for land use classification. The achieved classification result infers that the proposed methodology improves the classification performance of both hyperspectral and PolSAR data and can properly gather complementary information of the two kinds of dataset. The fusion approach also considers that only limited training samples are available, which is often the case in remote sensing.

Item URL in elib:https://elib.dlr.de/107553/
Document Type:Conference or Workshop Item (Speech)
Title:Object Based Fusion of Polarimetric SAR and Hyperspectral Imaging for Land Use Classification
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hu, JingliangDLR-IMF/TUM-LMFUNSPECIFIED
Ghamisi, PedramDLR-IMF/TUM-LMFUNSPECIFIED
Schmitt, AndreasAndreas.Schmitt (at) dlr.deUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Date:2016
Journal or Publication Title:Proceedings of 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-5
Publisher:IEEE Xplore
Status:Published
Keywords:PolSAR, hyperspectral image, fusion, classification, HySpex
Event Title:WHISPERS 2016
Event Location:Los Angeles, USA
Event Type:international Conference
Event Dates:21-24 August 2016
Organizer:IEEE
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
German Remote Sensing Data Center > Land Surface
Deposited By: Hu, Jingliang
Deposited On:18 Nov 2016 09:40
Last Modified:22 Dec 2016 11:27

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