Building reconstruction from LIDAR data and aerial imagery

Liang Chien Chen, Tee Ann Teo, Jiann Yeou Rau, Jin King Liu, Wei Chen Hsu

研究成果: Conference contribution

43 引文 (Scopus)

摘要

This paper presents a scheme for building detection and reconstruction by merging LIDAR data and aerial imagery. In the building detection part, a region-based segmentation and object-based classification are integrated. In the building reconstruction, we analyze the coplanarity of the LIDAR point clouds to shape roofs. The accurate positions of the building walls are then determined by integrating the edges extracted from aerial imagery and the plane derived from LIDAR point clouds. The three dimensional building edges are thus used to reconstruct the building models. In the reconstruction, a patented method SMS (Split-Merge-Shape) is incorporated. Having the advantages of high reliability and flexibility, the SMS method provides stable solution even when those 3D building lines are broken. LIDAR data acquired by Leica ALS 40 and aerial images were used in the validation. Experimental results indicate that the successful rate for building detecition is higher that 81%. The positioning for buildings may reach sub-meter accuracy.

原文English
主出版物標題25th Anniversary IGARSS 2005
主出版物子標題IEEE International Geoscience and Remote Sensing Symposium
頁面2846-2849
頁數4
DOIs
出版狀態Published - 2005 十二月 1
事件2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of
持續時間: 2005 七月 252005 七月 29

出版系列

名字International Geoscience and Remote Sensing Symposium (IGARSS)
4

Other

Other2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
國家Korea, Republic of
城市Seoul
期間05-07-2505-07-29

指紋

imagery
Antennas
Merging
Roofs
segmentation
positioning
roof
method
detection
rate

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

引用此文

Chen, L. C., Teo, T. A., Rau, J. Y., Liu, J. K., & Hsu, W. C. (2005). Building reconstruction from LIDAR data and aerial imagery. 於 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium (頁 2846-2849). [1525661] (International Geoscience and Remote Sensing Symposium (IGARSS); 卷 4). https://doi.org/10.1109/IGARSS.2005.1525661
Chen, Liang Chien ; Teo, Tee Ann ; Rau, Jiann Yeou ; Liu, Jin King ; Hsu, Wei Chen. / Building reconstruction from LIDAR data and aerial imagery. 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium. 2005. 頁 2846-2849 (International Geoscience and Remote Sensing Symposium (IGARSS)).
@inproceedings{a44aba8d29a7444389f2cc098b4b2a0b,
title = "Building reconstruction from LIDAR data and aerial imagery",
abstract = "This paper presents a scheme for building detection and reconstruction by merging LIDAR data and aerial imagery. In the building detection part, a region-based segmentation and object-based classification are integrated. In the building reconstruction, we analyze the coplanarity of the LIDAR point clouds to shape roofs. The accurate positions of the building walls are then determined by integrating the edges extracted from aerial imagery and the plane derived from LIDAR point clouds. The three dimensional building edges are thus used to reconstruct the building models. In the reconstruction, a patented method SMS (Split-Merge-Shape) is incorporated. Having the advantages of high reliability and flexibility, the SMS method provides stable solution even when those 3D building lines are broken. LIDAR data acquired by Leica ALS 40 and aerial images were used in the validation. Experimental results indicate that the successful rate for building detecition is higher that 81{\%}. The positioning for buildings may reach sub-meter accuracy.",
author = "Chen, {Liang Chien} and Teo, {Tee Ann} and Rau, {Jiann Yeou} and Liu, {Jin King} and Hsu, {Wei Chen}",
year = "2005",
month = "12",
day = "1",
doi = "10.1109/IGARSS.2005.1525661",
language = "English",
isbn = "0780390504",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
pages = "2846--2849",
booktitle = "25th Anniversary IGARSS 2005",

}

Chen, LC, Teo, TA, Rau, JY, Liu, JK & Hsu, WC 2005, Building reconstruction from LIDAR data and aerial imagery. 於 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium., 1525661, International Geoscience and Remote Sensing Symposium (IGARSS), 卷 4, 頁 2846-2849, 2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005, Seoul, Korea, Republic of, 05-07-25. https://doi.org/10.1109/IGARSS.2005.1525661

Building reconstruction from LIDAR data and aerial imagery. / Chen, Liang Chien; Teo, Tee Ann; Rau, Jiann Yeou; Liu, Jin King; Hsu, Wei Chen.

25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium. 2005. p. 2846-2849 1525661 (International Geoscience and Remote Sensing Symposium (IGARSS); 卷 4).

研究成果: Conference contribution

TY - GEN

T1 - Building reconstruction from LIDAR data and aerial imagery

AU - Chen, Liang Chien

AU - Teo, Tee Ann

AU - Rau, Jiann Yeou

AU - Liu, Jin King

AU - Hsu, Wei Chen

PY - 2005/12/1

Y1 - 2005/12/1

N2 - This paper presents a scheme for building detection and reconstruction by merging LIDAR data and aerial imagery. In the building detection part, a region-based segmentation and object-based classification are integrated. In the building reconstruction, we analyze the coplanarity of the LIDAR point clouds to shape roofs. The accurate positions of the building walls are then determined by integrating the edges extracted from aerial imagery and the plane derived from LIDAR point clouds. The three dimensional building edges are thus used to reconstruct the building models. In the reconstruction, a patented method SMS (Split-Merge-Shape) is incorporated. Having the advantages of high reliability and flexibility, the SMS method provides stable solution even when those 3D building lines are broken. LIDAR data acquired by Leica ALS 40 and aerial images were used in the validation. Experimental results indicate that the successful rate for building detecition is higher that 81%. The positioning for buildings may reach sub-meter accuracy.

AB - This paper presents a scheme for building detection and reconstruction by merging LIDAR data and aerial imagery. In the building detection part, a region-based segmentation and object-based classification are integrated. In the building reconstruction, we analyze the coplanarity of the LIDAR point clouds to shape roofs. The accurate positions of the building walls are then determined by integrating the edges extracted from aerial imagery and the plane derived from LIDAR point clouds. The three dimensional building edges are thus used to reconstruct the building models. In the reconstruction, a patented method SMS (Split-Merge-Shape) is incorporated. Having the advantages of high reliability and flexibility, the SMS method provides stable solution even when those 3D building lines are broken. LIDAR data acquired by Leica ALS 40 and aerial images were used in the validation. Experimental results indicate that the successful rate for building detecition is higher that 81%. The positioning for buildings may reach sub-meter accuracy.

UR - http://www.scopus.com/inward/record.url?scp=33745684484&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33745684484&partnerID=8YFLogxK

U2 - 10.1109/IGARSS.2005.1525661

DO - 10.1109/IGARSS.2005.1525661

M3 - Conference contribution

AN - SCOPUS:33745684484

SN - 0780390504

SN - 9780780390508

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 2846

EP - 2849

BT - 25th Anniversary IGARSS 2005

ER -

Chen LC, Teo TA, Rau JY, Liu JK, Hsu WC. Building reconstruction from LIDAR data and aerial imagery. 於 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium. 2005. p. 2846-2849. 1525661. (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2005.1525661