Facade detection in oblique aerial image using object based image anaylysis

Ya Ching Hsu, Jyun Ping Jhan, Jiann-Yeou Rau

研究成果: Conference contribution

2 引文 (Scopus)

摘要

With the development of 3D city model and 3D Geographic Information Systems (GIS), the models of buildings provide many applications like urban planning, disaster assessment, virtual visualization, and others. For city models production, aerial images and photogrammetry are definitely important data source and technology for building reconstruction, since rich geometric and semantic information from images offer a rapid method on reconstructing numerous building models. Comparing with vertical aerial images (VAI), there are more advantages in oblique aerial images (OAI). Oblique images offer 3D information of ground objects from different views, and it can provide not only the top surface information but also the side, such as the building façade. The façade information is useful for building change detection, reconstruction and texture mapping. Thus, in this study we propose to utilize oblique aerial images for façade detection through object-based image analysis (OBIA) technique. At first, we segment the image into objects using multi-scale multi-resolution image segmentation by color information. Some auxiliary information might be useful for image segmentation also analyzed in this study, such as edge detection and image enhancement. In order to detect the façade area, several feature objects were be utilized. 3D information generated by two oblique images from similar view direction is the main index for finding façade in our research. Finally, performance assessment will be evaluated through visual interpretation of ground objects to find the optimal classification scheme.

原文English
主出版物標題33rd Asian Conference on Remote Sensing 2012, ACRS 2012
頁面459-467
頁數9
出版狀態Published - 2012 十二月 1
事件33rd Asian Conference on Remote Sensing 2012, ACRS 2012 - Pattaya, Thailand
持續時間: 2012 十一月 262012 十一月 30

出版系列

名字33rd Asian Conference on Remote Sensing 2012, ACRS 2012
1

Other

Other33rd Asian Conference on Remote Sensing 2012, ACRS 2012
國家Thailand
城市Pattaya
期間12-11-2612-11-30

指紋

Facades
Antennas
Image segmentation
Urban planning
Photogrammetry
Image enhancement
Edge detection
Disasters
Geographic information systems
Image analysis
Visualization
Textures
Semantics
Color

All Science Journal Classification (ASJC) codes

  • Information Systems

引用此文

Hsu, Y. C., Jhan, J. P., & Rau, J-Y. (2012). Facade detection in oblique aerial image using object based image anaylysis. 於 33rd Asian Conference on Remote Sensing 2012, ACRS 2012 (頁 459-467). (33rd Asian Conference on Remote Sensing 2012, ACRS 2012; 卷 1).
Hsu, Ya Ching ; Jhan, Jyun Ping ; Rau, Jiann-Yeou. / Facade detection in oblique aerial image using object based image anaylysis. 33rd Asian Conference on Remote Sensing 2012, ACRS 2012. 2012. 頁 459-467 (33rd Asian Conference on Remote Sensing 2012, ACRS 2012).
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abstract = "With the development of 3D city model and 3D Geographic Information Systems (GIS), the models of buildings provide many applications like urban planning, disaster assessment, virtual visualization, and others. For city models production, aerial images and photogrammetry are definitely important data source and technology for building reconstruction, since rich geometric and semantic information from images offer a rapid method on reconstructing numerous building models. Comparing with vertical aerial images (VAI), there are more advantages in oblique aerial images (OAI). Oblique images offer 3D information of ground objects from different views, and it can provide not only the top surface information but also the side, such as the building fa{\cc}ade. The fa{\cc}ade information is useful for building change detection, reconstruction and texture mapping. Thus, in this study we propose to utilize oblique aerial images for fa{\cc}ade detection through object-based image analysis (OBIA) technique. At first, we segment the image into objects using multi-scale multi-resolution image segmentation by color information. Some auxiliary information might be useful for image segmentation also analyzed in this study, such as edge detection and image enhancement. In order to detect the fa{\cc}ade area, several feature objects were be utilized. 3D information generated by two oblique images from similar view direction is the main index for finding fa{\cc}ade in our research. Finally, performance assessment will be evaluated through visual interpretation of ground objects to find the optimal classification scheme.",
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Hsu, YC, Jhan, JP & Rau, J-Y 2012, Facade detection in oblique aerial image using object based image anaylysis. 於 33rd Asian Conference on Remote Sensing 2012, ACRS 2012. 33rd Asian Conference on Remote Sensing 2012, ACRS 2012, 卷 1, 頁 459-467, 33rd Asian Conference on Remote Sensing 2012, ACRS 2012, Pattaya, Thailand, 12-11-26.

Facade detection in oblique aerial image using object based image anaylysis. / Hsu, Ya Ching; Jhan, Jyun Ping; Rau, Jiann-Yeou.

33rd Asian Conference on Remote Sensing 2012, ACRS 2012. 2012. p. 459-467 (33rd Asian Conference on Remote Sensing 2012, ACRS 2012; 卷 1).

研究成果: Conference contribution

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Hsu YC, Jhan JP, Rau J-Y. Facade detection in oblique aerial image using object based image anaylysis. 於 33rd Asian Conference on Remote Sensing 2012, ACRS 2012. 2012. p. 459-467. (33rd Asian Conference on Remote Sensing 2012, ACRS 2012).