XXII ISPRS Congress 2012: Technical Commission VII

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: 3D BUILDING CHANGE DETECTION USING HIGH RESOLUTION STEREO IMAGES AND A GIS DATABASE G. R. Dini, K. Jacobsen, F. Rottensteiner, M. Al Rajhi, C Heipke

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 3D BUILDING CHANGE DETECTION USING HIGH RESOLUTION STEREO IMAGES AND A GIS DATABASE G. R. Dini!, K. Jacobsen!, F. Rottensteiner!, M. Al Rajhi!”, C Heipke' 1 Institute of Photogrammetry and GeoInformation, Leibniz University Hannover, dini@ipi.uni-hannover.de 2 Ministry of Municipal and Rural Affairs (MoMRA), Riyadh, KSA, mnalrajhi@yahoo.com Commission VII, WG VII/S KEY WORDS: Three-dimensional, Building, Change Detection, HR Satellite Images, Multitemporal, Urban Region ABSTRACT In this paper, a workflow is proposed to detect 3D building changes in urban and sub-urban areas using high-resolution stereoscopic satellite images of different epochs and a GIS database. Semi-global matching (SGM) is used to derive Digital Surface Models (DSM) and subsequently normalised digital surface models (nDSM, the difference of a DSM and a digital elevation model (DEM)), from the stereo pairs at each epoch. Large differences between the two DSMs are assumed to represent height changes. In order to reduce the effect of matching errors, heights in the nDSM of at least one epoch must also lie above a certain threshold in order to be considered as candidates for building change. A GIS database is used to check the existence of buildings at epoch 1. As a result of geometric discrepancies during data acquisition caused by different view directions and illumination conditions, the outlines of existing buildings do not necessarily match even in non-changed areas. Consequently, in the change map, there are streaking-shaped structures along the building outlines which do not correspond to actual changes. To eliminate these effects morphologic filtering is applied. The mask we use operates as a threshold on the shape and size of detected new blobs and effectively removes small objects such as cars, small trees and salt and pepper noise. The results of the proposed algorithm using IKONOS and GeoEye images demonstrate its performance for detecting 3D building changes and to extract building boundaries. 1. INTRODUCTION 1.4 Introduction Monitoring and managing urban sprawl is of crucial importance in regional planning and is an important pre-requisite for sustainable development of urban environments. Buildings are the most important features in urban and suburban areas, thus automatic monitoring of building change, especially in damage assessment and disaster situations, has recently received attention in photogrammetry and remote sensing. Optical images provide a wide range of information for detection of building changes either directly (spatial, spectral, radiometric and temporal information) or indirectly through height information generated from stereo images using image matching. High resolution stereo images from space provide appropriate tools to detect changes in residential areas (Im and Jensen, 2005),(Zhang and Gruen, 2006). A wide range of image processing and computer vision techniques including spectral indices (e.g., NDVI), geometric (e.g., shape and size) and height information (e.g. DSM, differential DSMs) have been developed for change detection based on remotely sensed images and geospatial databases (Im and Jensen, 2005), (Chaabouni-Chouayakh and Reinartz, 2011), (Bouziani et al., 2010), Champion (2007). There are two main strategies which are considered in change detection algorithms using remote sensing data: change enhancement emphasises image differences without any information about the type of change (i.e, changed and un-changed pixels). The second approach is known as ‘from-to’ strategy that monitors the land use changes during a period of time by determining the change from land use A to land use B (Im and Jensen, 2005). In this paper, the first approach along with additional refinement is applied for stereo images of different epochs in order to detect building changes based on height changes. A GIS database containing building footprints can optionally be used to enhance the results. We do not aim at accurately delineating buildings outlines, instead the proposed approach is meant to act as a reliable alarm system for detecting changes, while delineation is assumed to be performed manually at a later stage. In the next section a short review of the literature is given. Section 2 describes the type of data used in our study. Section 3 contains a description of our approach. Experimental results are reported in section 4, section 5 concludes the paper. This paper continues and extends the work of Alobeid et al. (2011). 1.2 State-of-the-art Change detection using high resolution stereoscopic images is an important task in updating urban areas. Champion (2007) matches high resolution aerial images for generating a DSM in order to update the building layer of a 2D cadastral database. He subdivided the detection of changes into two main steps, automatic verification of the database and detection of new buildings. In the first step, all buildings of the database are

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