Automated mosaicking of UAV images based on SFM method

Author

Hui Wang ; Li, Jonathan ; Liyong Wang ; Haiyan Guan ; Zexun Geng

Author_Institution

Fac. of Environ., Univ. of Waterloo, Waterloo, ON, Canada

fYear

2014

fDate

13-18 July 2014

Firstpage

2633

Lastpage

2636

Abstract

Optical sensors onboard an unmanned aerial vehicle (UAV) can collect high resolution images with small dimensions. Image mosaicking is necessary to cover a larger geographic area. This paper presents a novel approach to mosaicking UAV images automatically. The "Orthophoto Map" is based on Structure From Motion (SFM). This method can fully automatic mosaic generate a wide range, and with well visual effects, and no evident deformation. This method can not only get a panoramic image of wide range of areas, and can get the corresponding three-dimensional terrain model.

Keywords

autonomous aerial vehicles; geophysical image processing; image segmentation; terrain mapping; Orthophoto Map; SFM method; Structure From Motion; UAV image automated mosaicking; geographic area; mosaicking UAV images; optical sensors; panoramic image; three-dimensional terrain model; unmanned aerial vehicle; Computer vision; Digital cameras; Digital images; Feature extraction; Solid modeling; Three-dimensional displays; Digital Terrestrial Model; Image mosaic; Structure From Motion; ortho-rectified;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6947014

Filename

6947014