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Proceedings Paper

Image mosaicking from aerial unmanned airplane
Author(s): Tao Wang; Jianhua Gong
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Paper Abstract

In this article, the SIFT method is employed to combine a lot of images together from aerial unmanned airplane, without any control points. And the image number of this method is smaller than that of the triangulation. SIFT feature, which has shown great success in computer vision, is introduced into image registration in remote sensing. We extract distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene. The features are invariant to image scale and rotation, they are well localized in both the spatial and frequency domains, reducing the probability of disruption by occlusion, clutter, or noise.

Paper Details

Date Published: 7 November 2008
PDF: 8 pages
Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71470Z (7 November 2008); doi: 10.1117/12.813236
Show Author Affiliations
Tao Wang, Institute of Remote Sensing Applications (China)
Jianhua Gong, Institute of Remote Sensing Applications (China)


Published in SPIE Proceedings Vol. 7147:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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