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The challenge of creating the SARptical dataset

Wang, Yuanyuan and Zhu, Xiao Xiang (2019) The challenge of creating the SARptical dataset. In: 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IEEE. IGARSS 2019, 28. Juli - 02. Aug. 2019, Yokohama, Japan. DOI: 10.1109/IGARSS.2019.8899803 ISBN 978-1-5386-9154-0 ISSN 2153-7003

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Official URL: https://ieeexplore.ieee.org/document/8899803

Abstract

The SARptical dataset consists of about 10,000 matching pairs of very high resolution optical and SAR image patches extracted from TerraSAR-X very high-resolution spotlight images and aerial UltraCAM optical images in dense urban areas of the city of Berlin, Germany. This dataset is distinct from any other existing SAR optical dataset, because the 3D location of the center pixels of the SAR and optical were explicitly matched. Still, creating such dataset poses a fundamental challenge. The reason is that a pixel level matching between SAR and optical images is generally impossible to achieve a without the assistance of a precise 3-D model. This is especially true in dense urban areas, because of the inevitable layover caused by the side-looking SAR imaging geometry. Such misalignment will affect applications like joint classification using SAR and optical images, and raise the difficulty in designing machine learning algorithms. This paper will discuss the challenge of jointly using SAR and optical images for remote sensing applications and propose possible methods to mitigate those misalignment errors.

Item URL in elib:https://elib.dlr.de/130834/
Document Type:Conference or Workshop Item (Speech)
Title:The challenge of creating the SARptical dataset
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wang, YuanyuanTUMhttps://orcid.org/0000-0002-0586-9413
Zhu, Xiao Xiangxiaoxiang.zhu (at) dlr.dehttps://orcid.org/0000-0001-5530-3613
Date:14 November 2019
Journal or Publication Title:2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2019.8899803
Page Range:pp. 1-4
Publisher:IEEE
ISSN:2153-7003
ISBN:978-1-5386-9154-0
Status:Published
Keywords:SARptical, SAR, optical, dataset, matching, coregistration, fusion
Event Title:IGARSS 2019
Event Location:Yokohama, Japan
Event Type:international Conference
Event Dates:28. Juli - 02. Aug. 2019
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 > EO Data Science
Deposited By: Wang, Yuanyuan
Deposited On:21 Nov 2019 12:14
Last Modified:21 Nov 2019 12:14

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