Abstract:
Aerial images taken by Unmanned Aerial
Vehicles (UAV) contain rich geographic information. However,
the higher the altitude the cost for image capturing increases
and image quality or the visibility decreases. To overcome this
issue, people use low altitude UAV’s to capture images in bulk
quantities and stitching algorithms were heavily used for
merging these images. This paper presents a novel technique to
automate this stitching process. This new technique is
implemented based on well-known algorithms such as Speededup
Robust Features (SURF), Principle Component Analysis
(PCA) and Random Sample Consensus (RANSAC). The result
of the proposed method was compared with some existing
algorithms and the results are presented in this paper.
Citation:
R. M. N. B. Rathnayake and L. Seneviratne, "An Efficient Approach Towards Image Stitching in Aerial Images," 2018 3rd International Conference on Information Technology Research (ICITR), 2018, pp. 1-6, doi: 10.1109/ICITR.2018.8736144.