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A New Algorithm for Void Filling in a DSM from Stereo Satellite Images in Urban Areas

Gharib Bafghi, Zeinab and Tian, Jiaojiao and d'Angelo, Pablo and Reinartz, Peter (2016) A New Algorithm for Void Filling in a DSM from Stereo Satellite Images in Urban Areas. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-1, pp. 55-61. Copernicus Publications. ISPRS Congress, 2016-07-12 - 2016-07-19, Prag, Tschechien. doi: 10.5194/isprs-annals-III-1-55-2016. ISSN 2194-9042.

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Official URL: http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-1/55/2016/

Abstract

Digital Surface Models (DSM) derived from stereo-pair satellite images are the main sources for many Geo-Informatics applications like 3D change detection, object classification and recognition. However since occlusion especially in urban scenes result in some deficiencies in the stereo matching phase, these DSMs contain some voids. In order to fill the voids a range of algorithms have been proposed, mainly including interpolation alone or along with auxiliary DSM. In this paper an algorithm for void filling in DSM from stereo satellite images has been developed. Unlike common previous approaches we didn’t use any external DSM to fill the voids. Our proposed algorithm uses only the original images and the unfilled DSM itself. First a neighborhood around every void in the unfilled DSM and its corresponding area in multispectral image is defined. Then it is analysed to extract both spectral and geometric texture and accordingly to assign labels to each cell in the voids. This step contains three phases comprising shadow detection, height thresholding and image segmentation. Thus every cell in void has a label and is filled by the median value of its co-labelled neighbors. The results for datasets from WorldView-2 and IKONOS are shown and discussed.

Item URL in elib:https://elib.dlr.de/104794/
Document Type:Conference or Workshop Item (Speech)
Title:A New Algorithm for Void Filling in a DSM from Stereo Satellite Images in Urban Areas
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Gharib Bafghi, ZeinabUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tian, JiaojiaoUNSPECIFIEDhttps://orcid.org/0000-0002-8407-5098UNSPECIFIED
d'Angelo, PabloUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Reinartz, PeterUNSPECIFIEDhttps://orcid.org/0000-0002-8122-1475UNSPECIFIED
Date:2016
Journal or Publication Title:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:III-1
DOI:10.5194/isprs-annals-III-1-55-2016
Page Range:pp. 55-61
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Halounova, L.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Šafář, V.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Toth, C. K.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Karas, J.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Huadong, G.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Haala, N.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Habib, A.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Reinartz, PeterUNSPECIFIEDhttps://orcid.org/0000-0002-8122-1475UNSPECIFIED
Tang, X.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Li, J.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Armenakis, C.York University, Toronto, CanadaUNSPECIFIEDUNSPECIFIED
Grenzdörffer, G.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
le Roux, P.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Stylianidis, S.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Blasi, R.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Menard, M.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dufourmount, H.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Li, Z.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Publisher:Copernicus Publications
ISSN:2194-9042
Status:Published
Keywords:DSM, Void Filling, Stereo Satellite Images, Orthorectification, Mean-Shift Segmentation
Event Title:ISPRS Congress
Event Location:Prag, Tschechien
Event Type:international Conference
Event Start Date:12 July 2016
Event End Date:19 July 2016
Organizer:ISPRS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By:INVALID USER
Deposited On:04 Jul 2016 12:59
Last Modified:24 Apr 2024 20:10

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