Volume XLII-2/W13
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 303-308, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-303-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 303-308, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-303-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  04 Jun 2019

04 Jun 2019

AN ADVANCED BENCHMARKING FOR IMAGE COMPOSITING EVALUATION

R. Giudici, L. Courtrai, and S. Lefevre R. Giudici et al.
  • Univ. Bretagne Sud – UMR 6074 IRISA, F-56000 Vannes, France

Keywords: mosaicing, Virtual Camera, quality assessment, structural fidelity

Abstract. This paper introduces a novel benchmarking tool for measuring the robustness of existing mosaicing algorithms in presence of a given set of disturbances. The process combines a set of partially overlapping images into a wide-view result used to represent UAV image series and orthophotography. Geometrical misalignements caused by perspective error may lead to some unpredictable artifacts and phantom effects in the mosaics. A very few solutions measure their immunity to known distortions and mainly focus on registration accuracy measurement. Only limited attention was given to characterize the response of the actual image fusion algorithms and their capacity to properly preserve content geometries. In this paper, we also introduce a new fidelity metric assessing the mosaicing response to a disturbance of a given extent used as prior information. The metric helps to better define the use cases fulfilling aerial imaging requirements.