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The SARptical dataset for joint analysis of SAR and optical image in dense urban area

Wang, Yuanyuan and Zhu, Xiao Xiang (2018) The SARptical dataset for joint analysis of SAR and optical image in dense urban area. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IGARSS 2018, 21.-27. Juli 2018, Valencia, Spain.

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The joint interpretation of very high resolution SAR and optical images in dense urban area are not trivial due to the distinct imaging geometry of the two types of images. Especially, the inevitable layover caused by the side-looking SAR imaging geometry renders this task even more challenging. Only until recently, the "SARptical" framework proposed a promising solution to tackle this. SARptical can trace individual SAR scatterers in corresponding high-resolution optical images, via rigorous 3-D reconstruction and matching. This paper introduces the SARptical dataset, which is a dataset of over 10,000 pairs of corresponding SAR, and optical image patches extracted from TerraSAR-X high-resolution spotlight images and aerial UltraCAM optical images. This dataset opens new opportunities of multisensory data analysis. One can analyze the geometry, material, and other properties of the imaged object in both SAR and optical image domain. More advanced applications such as SAR and optical image matching via deep learning is now also possible.

Item URL in elib:https://elib.dlr.de/120441/
Document Type:Conference or Workshop Item (Speech)
Title:The SARptical dataset for joint analysis of SAR and optical image in dense urban area
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Date:July 2018
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Keywords:SAR, optical, matching, SARptical, dataset, TomoSAR, stereo matching, 3-D reconstruction
Event Title:IGARSS 2018
Event Location:Valencia, Spain
Event Type:international Conference
Event Dates:21.-27. Juli 2018
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:20 Jun 2018 13:12
Last Modified:01 Sep 2019 03:00

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