Semi-automatic Extraction of Rectangular House Contours from Aerial Images

doi:10.13474/j.cnki.11-2246.2018.0122

Abstract

Abstract:

In order to extract the contours of the house for the purpose accurately,this paper proposes a semi-automatic extraction algorithm for rectangular house contours in aerial images.The first step of this algorithm is using mouse manually to draw straight lines in the approximate position of house contours in turns,and next step is using image segmentation to achieve the corresponding window images.Then using LSD algorithm to extract straight lines from window images.After that,considering it as the initial value,the least squares algorithm is applied to carry on curve fitting and right angle processing on the original image in case of ensuring its overall displacement and numerical deviation are the minimum.The last step is connecting angular points,and the extraction of the house contours information is done.The experimental results show that this method can reduce labor intensity efficiently and the position accuracy is higher than artificial work.

Key words: house contours, semi-automatic extraction, image segmentation, LSD algorithm, least squares algorithm, right angle processing

CLC Number:

P231

LI Dajun, DU Shenbin, GUO Bingxuan, XUE Wanchang, YOU Qi. Semi-automatic Extraction of Rectangular House Contours from Aerial Images[J]. 测绘通报, 2018, 0(4): 112-115,120.

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