A Robust Method for Mosaicking Sequence Images Obtained from UAV

At present, satellite and aerial remote sensing are common ways to collect data for territorial resources monitoring in most countries, but they are not effective, rapid and accurate enough. Compared with traditional ways of obtaining images, UAV based platform for photogrammetry and remote sensing...

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Bibliographic Details
Published in2010 2nd International Conference on Information Engineering and Computer Science pp. 1 - 4
Main Authors Cheng Xing, Jinling Wang, Yaming Xu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Computer vision
Covariance matrix
Feature extraction
Optimization
Presses
Robustness
Unmanned aerial vehicles
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Summary:At present, satellite and aerial remote sensing are common ways to collect data for territorial resources monitoring in most countries, but they are not effective, rapid and accurate enough. Compared with traditional ways of obtaining images, UAV based platform for photogrammetry and remote sensing is a more flexible and easy way to get high-resolution images with low cost. So building UAV based platforms is becoming a hot field throughout the whole world. However, there are also some problems with UAV images, e.g. the views of UAV images from UAV are smaller than those of traditional aerial images, so these images with small views should be pasted together in order to increase the visual field. Therefore, mosaicking UAV images is a critical task. The homographies between sequence images will be affected by the accumulated errors, which will lead to drifts of the position of each image in the mosaic. In this paper, we introduce a two-step optimization method for mosaicking UAV sequence images which can correct the homographies and improve the position of each image in the mosaic. Experimental results will also be presented.
ISBN:1424479398
9781424479399
ISSN:2156-7379
DOI:10.1109/ICIECS.2010.5678358