Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/16536
Title: Review of geometric fusion of remote sensing imagery and laser scanning data
Authors: Wu, B 
Tang, S
Keywords: Geometric fusion
imagery
Laser scanning
Photogrammetry
Issue Date: 2015
Publisher: Taylor & Francis
Source: International journal of image and data fusion, 2015, v. 6, no. 2, p. 97-114 How to cite?
Journal: International journal of image and data fusion 
Abstract: Imagery and laser scanning data are two major sources of 3D information. Each dataset has distinct characteristics that render it preferable for certain applications. The fusion of imagery and laser scanning data is a prerequisite to utilising the complementary characteristics of both datasets. In the past decade, a number of methods have been developed for the geometrical fusion of the two types of datasets for better 3D mapping in various applications. This article presents a systematic review of these methods. First, comparative analysis of the derivation of 3D information from imagery through photogrammetry and laser scanning is presented. Then, three categories of methods for the geometric fusion of imagery and laser scanning data are detailed, namely, laser scanning data used as controls for imagery, imagery used as controls for laser scanning data and the combined adjustment of imagery and laser scanning data. The advantages and limitations of the three categories of methods are analysed. Finally, suggestions for future research in this area are discussed, and concluding remarks are given.
URI: http://hdl.handle.net/10397/16536
ISSN: 1947-9832
EISSN: 1947-9824
DOI: 10.1080/19479832.2015.1024175
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