Building extraction based on UAV imagery data with the synergistic use of objected-based method and SVM classifier

doi:10.6046/gtzyyg.2017.01.15

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Abstract

Height information created by LiDAR data is generally used for building extraction. LiDAR data can produce highly accurate, reliable 3D point clouds of ground objects. However, LiDAR data is expensive. In view of such a situation, this study aims to extract buildings solely using UAV imagery data. The height information used is created by point clouds derived from UAV stereo pairs through dense matching algorithm. In this study, UAV imagery was used as a single remote sensing data source and building extraction was carried out by the integration of objected-based method and SVM classification. In the preprocessing period, Pix4D Mapper was used for aerial triangulation and photogrammetric point clouds generation. Then, an objected-based method that utilized spectral information and geometric features was developed, the object height was derived from photogrammetric point clouds to assist in the detection of the building. Finally, the building boundaries were extracted through SVM classifier. In the post-processing procedure, morphological operations were applied to remove small objects from building images. To validate the photogrammetric point cloud usefulness, experiments were conducted on UAV imagery data, covering the selected test areas in Hanwang Town of Sichuan Province and Linpa Town of Henan Province. The building extraction accuracy was accessed on the test areas, and building detection completeness of Hanwang test area is 85.5%, detection correction is 83.9%; building detection completeness of Linpa test area is 92.5%, detection correction is 78.6%. The results show that nDSM derived from photogrammetric point clouds can be used for building extraction, and can improve the detection accuracy of the building.

Keywords hyperspectral remote sensing kernel trick pixel un-mixing orthogonal subspace projection (OSP)

TP751.1

Issue Date: 23 January 2017

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	LIN Na
	YANG Wunian
	WANG Bin

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LIN Na,YANG Wunian,WANG Bin. Building extraction based on UAV imagery data with the synergistic use of objected-based method and SVM classifier[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 97-103.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.01.15 OR https://www.gtzyyg.com/EN/Y2017/V29/I1/97

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