A Method for Right Angle Building Extracting and Mapping Based on MBR Constraints in High Resolution Optical Image

doi:10.13474/j.cnki.11-2246.2018.0103

Abstract

Abstract:

Aiming at the problem of building extraction and mapping in high spatial resolution remote sensing images,a method based on MBR constraints is proposed.Firstly,this paper extracts the building from the image by using the multi-scale segmentation method and CART decision tree classification technology. Secondly,this paper extracts the rough contour of the building by using Candy operator,and expresses as point set for calculating building MBR,piecewise fitting and optimization the contour of buildings.Finally,this paper through the point direction decision maker seeks building's angular points and realizes building's mapping.After calculating building's area and perimeter,we can ensure that perimeter relative accuracy is 93.3%,area relative accuracy is 96.1%.The presented method can effectively improve the precision of buildings mapping.

Key words: CART decision tree, MBR, high spatial resolution optical images, right angle building, mapping

CLC Number:

P231

LI Baishou, LI Lingzhi, ZHANG Qiang. A Method for Right Angle Building Extracting and Mapping Based on MBR Constraints in High Resolution Optical Image[J]. 测绘通报, 2018, 0(4): 16-22.

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