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DSM Building Shape Refinement from Combined Remote Sensing Images based on Wnet-cGANs

Bittner, Ksenia and Körner, Marco and Reinartz, Peter (2019) DSM Building Shape Refinement from Combined Remote Sensing Images based on Wnet-cGANs. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IEEE Geoscience and Remote Sensing Society. IGARSS 2019, 2019-07-28 - 2019-08-02, Yokohama, Japan. doi: 10.1109/igarss.2019.8897865.

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We describe the workflow of a digital surface models (DSMs) refinement algorithm using a hybrid conditional generative adversarial network (cGAN) where the generative part consists of two parallel networks merged at the last stage forming a WNET architecture. The inputs to the so-called WNETCGAN are stereo DSMs and panchromatic (PAN) half-meter resolution satellite images. Fusing these helps to propagate fine detailed information from a spectral image and complete the missing 3D knowledge from a stereo DSM about building shapes. Besides, it refines the building outlines and edges making them more rectangular and sharp.

Item URL in elib:https://elib.dlr.de/131426/
Document Type:Conference or Workshop Item (Speech)
Title:DSM Building Shape Refinement from Combined Remote Sensing Images based on Wnet-cGANs
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Bittner, KseniaUNSPECIFIEDhttps://orcid.org/0000-0002-4048-3583UNSPECIFIED
Körner, MarcoUNSPECIFIEDhttps://orcid.org/0000-0002-9186-4175UNSPECIFIED
Reinartz, PeterUNSPECIFIEDhttps://orcid.org/0000-0002-8122-1475UNSPECIFIED
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
Publisher:IEEE Geoscience and Remote Sensing Society
Keywords:Conditional generative adversarial networks, digital surface model, 3D scene refinement, 3D building shape, data fusion, satellite images
Event Title:IGARSS 2019
Event Location:Yokohama, Japan
Event Type:international Conference
Event Start Date:28 July 2019
Event End Date:2 August 2019
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
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Bittner, Ksenia
Deposited On:28 Nov 2019 11:46
Last Modified:24 Apr 2024 20:34

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