elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Potential of Single-Image-Derived Height Maps for Change Detection in Capella Constellation SAR Data

Schmitt, Michael and Recla, Michael and Auer, Stefan (2023) Potential of Single-Image-Derived Height Maps for Change Detection in Capella Constellation SAR Data. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1373-1376. IGARSS 2023, 2023-07-16 - 2023-07-21, Pasadena, USA. doi: 10.1109/IGARSS52108.2023.10282240.

[img] PDF - Only accessible within DLR until 1 August 2024
9MB

Official URL: https://ieeexplore.ieee.org/document/10282240

Abstract

Automated change detection is certainly one of the most discussed applications of remote sensing. However, existing approaches rely on finely co-registered images, as otherwise differences in view point or illumination could lead to erroneous change detections. This is particularly true for very-highresolution sensors, for which even minor differences might affect several resolution cells. In this paper, we make use of deep learning-based single image height prediction to transform highly non-similar synthetic aperture radar (SAR) images acquired from different viewing angles into homogeneous height maps. The change detection is then carried out in these height maps, thus mitigating any former geometric or radiometric differences of the imagery. An experiment with Capella data observing the city of Mariupol during the Russian war against Ukraine illustrates both the potential and possible risks of the approach.

Item URL in elib:https://elib.dlr.de/192861/
Document Type:Conference or Workshop Item (Speech)
Title:Potential of Single-Image-Derived Height Maps for Change Detection in Capella Constellation SAR Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schmitt, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Recla, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Auer, StefanUNSPECIFIEDhttps://orcid.org/0000-0001-9310-2337141830571
Date:July 2023
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1109/IGARSS52108.2023.10282240
Page Range:pp. 1373-1376
Status:Published
Keywords:Synthetic Aperture Radar (SAR), Change Detection, Urban Areas, Ukraine
Event Title:IGARSS 2023
Event Location:Pasadena, USA
Event Type:international Conference
Event Start Date:16 July 2023
Event End Date:21 July 2023
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 - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Auer, Dr. Stefan
Deposited On:06 Sep 2023 13:40
Last Modified:24 Apr 2024 20:53

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.