Facade detection in oblique aerial image using object based image anaylysis

Ya Ching Hsu, Jyun Ping Jhan, Jiann Yeou Rau

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 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.

Original languageEnglish
Title of host publication33rd Asian Conference on Remote Sensing 2012, ACRS 2012
Pages459-467
Number of pages9
Publication statusPublished - 2012 Dec 1
Event33rd Asian Conference on Remote Sensing 2012, ACRS 2012 - Pattaya, Thailand
Duration: 2012 Nov 262012 Nov 30

Publication series

Name33rd Asian Conference on Remote Sensing 2012, ACRS 2012
Volume1

Other

Other33rd Asian Conference on Remote Sensing 2012, ACRS 2012
CountryThailand
CityPattaya
Period12-11-2612-11-30

Fingerprint

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

Cite this

Hsu, Y. C., Jhan, J. P., & Rau, J. Y. (2012). Facade detection in oblique aerial image using object based image anaylysis. In 33rd Asian Conference on Remote Sensing 2012, ACRS 2012 (pp. 459-467). (33rd Asian Conference on Remote Sensing 2012, ACRS 2012; Vol. 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. pp. 459-467 (33rd Asian Conference on Remote Sensing 2012, ACRS 2012).
@inproceedings{a2f2f2c5e7764d95844d8d7667323aa2,
title = "Facade detection in oblique aerial image using object based image anaylysis",
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.",
author = "Hsu, {Ya Ching} and Jhan, {Jyun Ping} and Rau, {Jiann Yeou}",
year = "2012",
month = "12",
day = "1",
language = "English",
isbn = "9781622769742",
series = "33rd Asian Conference on Remote Sensing 2012, ACRS 2012",
pages = "459--467",
booktitle = "33rd Asian Conference on Remote Sensing 2012, ACRS 2012",

}

Hsu, YC, Jhan, JP & Rau, JY 2012, Facade detection in oblique aerial image using object based image anaylysis. in 33rd Asian Conference on Remote Sensing 2012, ACRS 2012. 33rd Asian Conference on Remote Sensing 2012, ACRS 2012, vol. 1, pp. 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; Vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Facade detection in oblique aerial image using object based image anaylysis

AU - Hsu, Ya Ching

AU - Jhan, Jyun Ping

AU - Rau, Jiann Yeou

PY - 2012/12/1

Y1 - 2012/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84880006153&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880006153&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84880006153

SN - 9781622769742

T3 - 33rd Asian Conference on Remote Sensing 2012, ACRS 2012

SP - 459

EP - 467

BT - 33rd Asian Conference on Remote Sensing 2012, ACRS 2012

ER -

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