Premium
A New Method for Automatic Large Scale Map Updating Using Mobile Mapping Imagery
Author(s) -
Ou Jianliang,
Qiao Gang,
Bao Feng,
Wang Weian,
Di Kaichang,
Li Rongxing
Publication year - 2013
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/phor.12018
Subject(s) - ransac , computer science , photogrammetry , computer vision , intersection (aeronautics) , artificial intelligence , scale (ratio) , mobile mapping , polygon (computer graphics) , hough transform , geospatial analysis , georeference , object (grammar) , point cloud , image (mathematics) , remote sensing , geography , cartography , frame (networking) , telecommunications , physical geography
Abstract Land‐based mobile mapping system ( MMS ) technology provides an innovative way to update geospatial information, characterised by rapid data collection and direct georeferencing. This paper presents a new method for automatically updating large scale maps using sequential MMS imagery. A major component of the technique is the extraction of vertical lines from such imagery through an improved Hough transform and vanishing point classification. These lines are stereomatched using an epipolar constraint and random sample consensus ( RANSAC ) strategy, with object space positions obtained by photogrammetric intersection. Buildings are recognised based on these vertical lines in conjunction with basic polygon templates, allowing maps to be updated.