Abstract: Taking a built-up area in Beidaqu village, Beidaqu township, Yanqi County, Xinjiang Uygur Autonomous Region as the study area, we acquired high density point cloud data in a cross-route way at low altitude (170 m) with the delta wing equipped with light airborne LiDAR. Then, we spliced, corrected and enhanced texture information of the point cloud data. Finally, we vectorized the housing information with the processed point cloud data and checked the vectorization results' accuracy. The results show that the collection rate of housing corner points is 83.3% with the point cloud data, and the median error is 4.8 cm. Using the airborne LiDAR, we can greatly reduce the workload of measuring the housing corner points. In view of rarely studies of texture information extracting with airborne LiDAR, this paper offers a reference for the application of it, and gives a clear understanding of its accuracy. In addition, the results can provide reference to the further related work.

Key words: airborne LiDAR, building surveying, texture, precision analysis