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Journal of Applied Sciences >

2016 , Vol. 34 >Issue 1: 84 - 94

DOI: https://doi.org/10.3969/j.issn.0255-8297.2016.01.010

Signal and Information Processing

Object-Based Building Extraction from Airborne LiDAR Data

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  • School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, Jiangsu Province, China

Received date: 2015-04-11

  Revised date: 2015-06-02

  Online published: 2016-01-30

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Abstract

Based on airborne LiDAR data, an object-based method for building extraction with coarse-fine accuracies is proposed. A normalized digital surface model (nDSM) and the normalized difference (ND) are extracted from the LiDAR data. Special edge echo points are removed from the ND data using a morphological operator. Taking into consideration height and penetrability of the buildings, coarse profile of the buildings are extracted from ND and nDSM data using a threshold segmentation algorithm. A multi-resolution segmentation algorithm is then used to segment the candidate buildings by integrating intensity, and the nDSM/ND data. The segmentation result is further optimized by merging the adjacent objects with smaller brightness difference. Finally intensive buildings are extracted based on spectral and geometrical characteristics, and the spatial relations of objects. Experiment results show that the proposed method can obtain buildings with high precision, and provides a means for building extraction from airborne LiDAR data.

Key words： airborne LiDAR; building extraction; object-based method; multi-resolution segmentation

Cite this article

FAN Jing-jing, ZHANG Hua, HAO Ming . Object-Based Building Extraction from Airborne LiDAR Data[J]. Journal of Applied Sciences, 2016 , 34(1) : 84 -94 . DOI: 10.3969/j.issn.0255-8297.2016.01.010

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