An automatically recognizing method for transmission towers from ALS point cloud

doi:10.13474/j.cnki.11-2246.2019.0007

测绘通报 ›› 2019, Vol. 0 ›› Issue (1): 34-38.doi: 10.13474/j.cnki.11-2246.2019.0007

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An automatically recognizing method for transmission towers from ALS point cloud

LIU Yang, YANG Bisheng, LIANG Fuxun

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

Received:2018-03-14 Revised:2018-04-20 Online:2019-01-25 Published:2019-02-14

Abstract

Abstract: In this paper,a method is proposed to recognize the transmission high voltage towers automatically in ALS point cloud.Firstly,we denoise the ALS data with statistical method.Secondly,we calculate and analyze 2D grid features to extract the rough area of transmission towers.Finally,we recognize the transmission towers from rough tower areas by confirming the bounding grids with linear feature,and calculate the 2D tower center by hierarchical slicing analysis.The proposed method is validated with the transmission line ALS data obtained by the actual inspection of the large-scale unmanned helicopter.Experiment shows that the proposed method recognizes the transmission towers automatically and effectively,which means the proposed method can be applied to processing actual transmission inspection ALS data.

Key words: transmission line, ALS point cloud, grid feature, high voltage tower, automatical recognization

CLC Number:

P234.4

LIU Yang, YANG Bisheng, LIANG Fuxun. An automatically recognizing method for transmission towers from ALS point cloud[J]. 测绘通报, 2019, 0(1): 34-38.

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An automatically recognizing method for transmission towers from ALS point cloud

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