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Potential of the “SARptical” system

Wang, Yuanyuan and Zhu, Xiao Xiang and Montazeri, Sina and Kang, Jian and Mou, Lichao and Schmitt, Michael (2017) Potential of the “SARptical” system. In: FRINGE 2017, pp. 1-6. FRINGE 2017, 5.-9. Jun. 2017, Helsinki, Finland.

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Official URL: http://fringe.esa.int/page_session211.php

Abstract

Very high resolution SAR images in dense urban area are not trivial to interpret due to the inevitable layover caused by the side-looking imaging geometry. With the growing attention on very high resolution SAR data, the fusion of optical and SAR images in dense urban area has become an emerging and timely topic, because the complementary of these two data types can lead us to unprecedented insights and findings, such as the unique scattering mechanisms of different urban infrastructures. Lying at the basis of such fusion topic is the challenging task of the co-registration of SAR and optical images. Such two images are acquired with intrinsically different imaging geometries, and thus are nearly impossible to be co-registered without a precise 3-D model of the imaged scene. Only until recently, the “SARptical” system proposed a promising solution to tackle this challenging task. SARptical can trace individual SAR scatterers in corresponding high resolution optical images where we can analyze the geometry, material, and other properties of the imaged object. Vice versa, the similar study can also be done in the SAR image coordinate. This paper demonstrate the capability of the SARptical system, and its potential in various different applications and research directions.

Item URL in elib:https://elib.dlr.de/115950/
Document Type:Conference or Workshop Item (Speech)
Title:Potential of the “SARptical” system
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Wang, YuanyuantumUNSPECIFIED
Zhu, Xiao Xiangdlr-imf/tum-lmfUNSPECIFIED
Montazeri, SinaSina.Montazeri (at) dlr.deUNSPECIFIED
Kang, JiantumUNSPECIFIED
Mou, Lichaolichao.mou (at) dlr.deUNSPECIFIED
Schmitt, Michaeltum-lmfUNSPECIFIED
Date:2017
Journal or Publication Title:FRINGE 2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-6
Status:Published
Keywords:SARptical, TomoSAR, SAR, optical, data fusion, image matching, urban,
Event Title:FRINGE 2017
Event Location:Helsinki, Finland
Event Type:international Conference
Event Dates:5.-9. Jun. 2017
Organizer:ESA
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)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Wang, Yuanyuan
Deposited On:05 Dec 2017 10:50
Last Modified:31 Jul 2019 20:13

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