Feature fusion of hyperspectral and lidar data using extinction profiles and total variation

Ghamisi, Pedram and Rasti, Behnood and Zhu, Xiaoxiang (2017) Feature fusion of hyperspectral and lidar data using extinction profiles and total variation. In: IEEE 2017 Geoscience and Remote Sensing Symposium (IGARSS), pp. 2621-2624. IEEE Xplore. IGARSS 2017, 23.-28. Juli 2017, Fort Worth, Texas, USA. doi: 10.1109/IGARSS.2017.8127532. ISSN 2153-7003.

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Official URL: http://ieeexplore.ieee.org/document/8127532/

Abstract

To improve the classification of hyperspectral images, this paper proposes an approach for multi-sensor data fusion of LiDAR and hyperspectral data using extinction profiles and Orthogonal Total Variation Component Analysis (OTVCA). Results on the benchmark Houston data indicate the superior performance of the proposed approach compared to other approaches used in the experiments based on classification accuracies.

Item URL in elib:

https://elib.dlr.de/118209/

Document Type:

Conference or Workshop Item (Speech)

Title:

Feature fusion of hyperspectral and lidar data using extinction profiles and total variation

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD
Ghamisi, Pedram	Pedram.Ghamisi (at) dlr.de	UNSPECIFIED
Rasti, Behnood	Keilir Institute of Technology	UNSPECIFIED
Zhu, Xiaoxiang	xiao.zhu (at) dlr.de	UNSPECIFIED

Date:

July 2017

Journal or Publication Title:

IEEE 2017 Geoscience and Remote Sensing Symposium (IGARSS)

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

DOI :

10.1109/IGARSS.2017.8127532

Page Range:

pp. 2621-2624

Publisher:

IEEE Xplore

ISSN:

2153-7003

Status:

Published

Keywords:

multi-sensor data fusion, hyperspectral data, lidar data, extinction profiles, orthogonal total variation

Event Title:

IGARSS 2017

Event Location:

Fort Worth, Texas, 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 - Optical remote sensing, R - Vorhaben hochauflösende Fernerkundungsverfahren (old)

Location:

Oberpfaffenhofen

Institutes and Institutions:

Remote Sensing Technology Institute > SAR Signal Processing

Deposited By:

Zielske, Mandy

Deposited On:

12 Jan 2018 14:47

Last Modified:

31 Jul 2019 20:15

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