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《Acta Optica Sinica》 2015-05
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Automatic Registration of Urban Laser Point Cloud with Aerial Image Data Based on Straight-Lines

He Peipei;Wan Youchuan;Yang Wei;Qin Jiaxin;School of Remote Sensing and Information Engineering, Wuhan University;  
In view of the imaging mechanism differences between the laser point cloud and image data, as well as existing registration primitives accessibility features, the registration based on features is the mainstream algorithm to refine the transformation of the two data sets. The corner points and edges of buildings are frequently used as characteristics. In order to deal with the weakness of building edge detection and reduce matching-related computation, a new automatic registration method based on airborne Li DAR data and high-resolution aerial image of the road information is proposed. Vector road centerlines are extracted from raw Li DAR data and projected onto related aerial images with the use of coarse exterior orientation parameters(EOPs). The corresponding image road features of each Li DAR vector road are determined with the improved total rectangle matching approach. The endpoints of the conjugate road features obtained from the Li DAR data and aerial images are used as ground control points in space resection adjustment to refine the EOPs. Experimental results show that this method characterized by the road features can not only extract fewer features, but also improve the efficiency of data processing in autoregistration of aerial imagery with airborne Li DAR data.
【Fund】: 国家863计划(2013AA122104-3);; 博士点科研基金(20130141130003)
【CateGory Index】: TP391.41
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