Image mosaicking from aerial unmanned airplane

Tao Wang; Jianhua Gong

doi:10.1117/12.813236

7 November 2008 Image mosaicking from aerial unmanned airplane

Tao Wang, Jianhua Gong

Proceedings Volume 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images; 71470Z (2008) https://doi.org/10.1117/12.813236
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

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.

Citation Download Citation

Tao Wang and Jianhua Gong "Image mosaicking from aerial unmanned airplane", Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71470Z (7 November 2008); https://doi.org/10.1117/12.813236

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