An extraction method for interested buildings using lidar point clouds data

Mei Zhou; Ling-li Tang; Chuan-rong Li; Bing Xia

doi:10.1117/12.912531

24 October 2011 An extraction method for interested buildings using lidar point clouds data

Mei Zhou, Ling-li Tang, Chuan-rong Li, Bing Xia

Proceedings Volume 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications; 82860N (2011) https://doi.org/10.1117/12.912531
Event: International Symposium on Lidar and Radar Mapping Technologies, 2011, Nanjing, China

Abstract

LiDAR (Light Detection and Ranging) is an active remote sensing technique for acquiring spatial information. It can quickly acquire three-dimensional (3D) geographic coordinate information of ground surface and ground targets, and has typical advantage in such applications as urban planning, 3D modeling, disaster assessment, etc. This paper presents an extraction method for interested buildings using three-dimensional laser point cloud data which are filtered and organized by the kd tree. First, the algorithm determines candidate points of a building from non-ground points and clusters them on the constraints of distance so that single building target can be segmented. Second, for each segmented building target, the algorithm extracts its edge points and regularizes its edge. The extracted building feature information is provided for quickly searching target of interest. At last, the method is proved to be effective based on the analysis of measured data. The method is no point cloud interpolation error, and is not affected by the size or shape of a building.

Citation Download Citation

Mei Zhou, Ling-li Tang, Chuan-rong Li, and Bing Xia "An extraction method for interested buildings using lidar point clouds data", Proc. SPIE 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 82860N (24 October 2011); https://doi.org/10.1117/12.912531

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available