Advances in fusion of optical imagery and LiDAR point cloud applied to photogrammetry and remote sensing

Optical imagery and Light Detection And Ranging (LiDAR) point cloud are two major data sources in the community of photogrammetry and remote sensing. Optical images and LiDAR data have unique characteristics that make them preferable in certain applications. On the other hand, the disadvantage of on...

Full description

Saved in:
Bibliographic Details
Published in:International journal of image and data fusion 2017-01, Vol.8 (1), p.1-31
Main Authors: Zhang, Jixian, Lin, Xiangguo
Format: Article
Language:English
Subjects:
change detection
classification
Data fusion
Data integration
Data sources
Lasers
Lidar
optical image
Photogrammetry
point cloud
Remote sensing
Reverse engineering
target recognition
Three dimensional models
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Optical imagery and Light Detection And Ranging (LiDAR) point cloud are two major data sources in the community of photogrammetry and remote sensing. Optical images and LiDAR data have unique characteristics that make them preferable in certain applications. On the other hand, the disadvantage of one type of data source may be compensated by an advantage of the other. Hence, data fusion is a prerequisite to utilising the complementary characteristics of both data sources. Numerous methods haven been proposed to perform the fusion in various applications. This article makes a systematic review of the state-of-the-art fusion methodology used in various applications, such as registration, generation of true orthophotographs, pan-sharpening, classification, recognition of some key targets, three-dimensional reconstruction, change detection and forest inventory. Moreover, the future developing trends are introduced. In the coming few years, we expect that fusion of optical images and LiDAR point cloud will promote the development of both photogrammetry and laser scanning in both industry and scientific research.
ISSN:1947-9832
1947-9824
DOI:10.1080/19479832.2016.1160960