XXII ISPRS Congress 2012: Technical Commission VII

Bibliographic data

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:: UPDATING BUILDING MAPS BASED ON OBJECT EXTRACTION AND BUILDING HEIGHT ESTIMATION L. Zhu, H. Shimamura, K. Tachibana

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 UPDATING BUILDING MAPS BASED ON OBJECT EXTRACTION AND BUILDING HEIGHT ESTIMATION L. Zhu® *, H. Shimamura? K. Tachibana* a Research and Development Center, PASCO CORPORATION, Annex 2-8-11 Higashiyama, Meguro-ku, Tokyo 153- 0043, Japan - (luihnz7801, hairdu9189, kainka9209)@pasco.co.jp Commission VII, WG VII/5 KEY WORDS: Aerial, Building, Updating, Change Detection, Object ABSTRACT: This study presents a novel approach in building change detection for map updating in urban areas. Our approach is based on the integration of building object extraction and building height estimation utilizing existing 2D building maps and newly-acquired high resolution aerial orthoimages & DSMs. In our proposed scheme, the detection of newly-built buildings is carried out based on building object extraction from orthoimages and DSMs. Detection of demolished and reconstructed buildings is performed based on estimating the height of each building using existing building maps and newly-acquired DSMs. Finally the two results are integrated together for map updating. The experimental results showed that the proposed technique performed satisfactorily well in detecting newly-built buildings, demolished buildings and reconstructed buildings, and was very effective in reducing the problem of misdetection and false detection. This technique is already integrated into a practical system for building maps updating. 1. INTRODUCTION Automated update of building information in maps from high- resolution aerial imagery is one of the most important and challenging researches in the field of photogrammetry and remote sensing. Up-to-date building information is necessary for many practical applications such as fixed assets inventory, city planning, GIS application analysis, etc. In general, updating of building information is carried out through change detection utilizing orthoimages or both orthoimages and DSMs acquired at two different epochs. However, the orthoimages and DSMs of the previous epoch do not necessarily always exist. In many cases, only 2D building vector maps are available for comparison. Existing approaches for automated update of building information, for instance, feature-based approach or object-based approach, seem to be less accurate and less realizable especially in dense urban areas due to the complexity of urban environments, and quite a lot of challenges remain for practical applications as well. Hence, there is a great demand for development of corresponding new strategies on automated update of 2D or 3D building maps. This study presents a novel approach in building change detection for map updating in urban areas. Our approach is based on the integration of building object extraction and building height estimation utilizing existing 2D building maps and newly-acquired aerial orthoimages & DSMs. In the proposed scheme, the detection of newly-built buildings is carried out based on building object extraction from newly- acquired orthoimages and DSMs. Detection of demolished and reconstructed buildings is performed based on estimating the height of each building using existing building maps and newly- acquired DSMs. Finally the two results are integrated together for map updating. * Corresponding author. The experimental results showed that the proposed approach performed satisfactorily well in detecting newly-built buildings, demolished buildings and reconstructed buildings in the test area. Almost all demolished and reconstructed buildings are detected. Most of the newly-built buildings are detected except for some small ones due to the influence of vegetation surrounding the buildings. This implies the necessity for further improvement of building object extraction. Also, it is shown that the proposed approach is very effective in reducing the problem of misdetection and false detection especially for demolished and reconstructed buildings. Moreover, it is found that the proposed approach can be used to detect the misregistration of building polygons in building maps in which the positional accuracy of building polygons is worse and can be used for accuracy check of building maps. This technique has already been integrated into a practical change detection system for building maps updating in Japan (Zhu et al., 2010). 2. METHODOLOGY OF BUILDING MAP UPDATING In this study, a hybrid approach is proposed to detect newly- built buildings, demolished and reconstructed buildings respectively by exploiting the information from different kinds of data. Since no orthoimages & DSMs data of the previous epoch is provided for comparison with newly-acquired data, newly-built buildings can not be extracted by using a general change detection method. An alterative way is to extract all building objects from newly-acquired orthoimages & DSMs first, and then, to separate newly-built buildings out from other ones by using an existing building map, i.e. only the building objects at the locations where there were no previous building polygons existed are retained. In contrary to detection of newly- built buildings, detection of demolished and reconstructed

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