Research Papers

Fusion of laser scanning data and optical high-resolution imagery for accurate building boundary derivation

[+] Author Affiliations
Liang Cheng, Lihua Tong, Yongxue Liu, Manchun Li

Nanjing University, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, 22 Hankou Road, Nanjing 210097, China

J. Appl. Remote Sens. 7(1), 073570 (May 03, 2013). doi:10.1117/1.JRS.7.073570
History: Received October 5, 2012; Revised April 9, 2013; Accepted April 12, 2013
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Abstract.  A novel approach by the fusion of airborne laser scanning data and optical high-resolution imagery is proposed for automatically obtaining building boundaries with precise geometric position and details. The high-resolution images are used to directly extract the building boundaries with precise geometric position, and the laser scanning data are integrated to improve the correctness and completeness of the extracted boundaries. In this approach, a new method is first proposed to estimate the principal orientations of a building, based on the building image and rough principal direction constraints, which ensures the accuracy and robustness of the subsequent line segment extraction. On this basis, accurate boundary segments are extracted using a method based on laser scanning point density analysis and K-means clustering. Images from different sensors, including orthoimage, aerial stereo, or some other images, are able to be processed effectively. Experiments covering more than 200 buildings with various orientations, various structures, and various texture conditions are employed to test the proposed approach. The average correctness and completeness of the determined boundaries are 95% and 90%, respectively.

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© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Liang Cheng ; Lihua Tong ; Yongxue Liu and Manchun Li
"Fusion of laser scanning data and optical high-resolution imagery for accurate building boundary derivation", J. Appl. Remote Sens. 7(1), 073570 (May 03, 2013). ; http://dx.doi.org/10.1117/1.JRS.7.073570


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