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

Document type:: Multivolume work

Structure type:: Chapter

Figure 3. Image and change detection results in a test area (Blue: Newly-built, Pink: Demolished, Orange: Reconstructed) 3. RESULTS The performance of change detection is assessed by comparing the results obtained by the proposed approach to the reference data acquired from image interpretation at a test area of Tokyo, Japan. A building map of 2004 is used in this study. The aerial images are acquired in 2008 by a multi-line digital airborne sensor ADS40. The orthoimages & DSMs data are generated by the Pixel Factory™ system of Astrium GEO-Information Services. The resolution of DSMs is 0.5m and that of orthoimages is 0.2m. Figure 3 shows the orthoimage of the test area and change detection results of the proposed approach. Table 1 shows the details of the change detection results for newly-built buildings, demolished and reconstructed buildings. 39 buildings are detected from 44 changed buildings, and a total detection rate is 88.6%. As for the details, 9 out of 13 newly- built buildings are detected except for some very small ones. All 16 demolished buildings, and 14 out of 15 reconstructed buildings are detected. Among 4 undetected newly-built buildings, 3 of them failed due to the influence of vegetation. This shows the necessity to further improve the ability to remove vegetation influence. On the other hand, detection of 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 demolished and reconstructed buildings based on building height estimation shows a high detection rate which proves the effectiveness of this method. The proposed hybrid change detection approach shows little misdetection and false-detection, and is able to distinguish reconstructed buildings which are difficult to be detected generally, and is possible to be applied for building detection in the dense urban areas. Moreover, after integrating this technique into a system for practical use, it is found that the proposed approach can be used even to detect the misregistration of building polygons in building maps in which the positional accuracy of building polygons is worse and hence can be used for accuracy check of building maps. Detailed results Newly-built | Demolished | Reconstructed Changed Buildings 13 16 15 Detected Buildings 9 16 14 Total Accuracy (96) 88.6 Table 1. Detailed results of building change detection 4. CONCLUSIONS This study presents a novel approach for building map updating in dense urban areas. A scheme is proposed that allows efficient integration of building object extraction and building height estimation for detection of newly-built buildings, demolished and reconstructed buildings, respectively. From the experimental results of performance assessment, the proposed approach presents wonderful results that it can detect almost all demolished and reconstructed buildings, and most newly-built buildings, and is effective to reduce the problems of misdetection and false-detection. Besides, the proposed approach can also be used to detect the misregistration of building polygons in building maps and can be used for accuracy check of building maps. This technique is already integrated into a practical system for building maps updating. Further improvement of this approach should be addressed on building object extraction, especially for very small buildings which are easily affected by surrounding vegetation. References Gao, H., Siu, W.C., Hou, C.H., 2001. Improved techniques for automatic image segmentation. /EEE Transactions on Circuits and Systems for video technology, 11 (12), pp. 1273-1280. Salembier, P., Pardas, M., 1994. Hierarchical morphological segmentation for image sequence coding. /EEE Transactions on Image Processing, 3 (5), pp.639-651. Zhu, L., Shimamura, H., Tachibana, K., Li, Y., Gong, P., 2008. Building change detection based on object extraction in dense urban areas. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, China, Vol. XXXVII, Part 7, pp. 905-908. Zhu, L., Shimamura, H., Tachibana, K., 2010. Development of building change detection system. Proceedings of Japan Society of Photogrammetry and Remote Sensing (JSPRS) Autumn conference, October 14-15, Hakodate, Hokkaido, Japan.

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