AN ADVANCED BENCHMARKING FOR IMAGE COMPOSITING EVALUATION

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. Geomet...

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Main Authors: R. Giudici, L. Courtrai, S. Lefevre
Format: Article
Language:English
Published: Copernicus Publications 2019-06-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/303/2019/isprs-archives-XLII-2-W13-303-2019.pdf
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spelling doaj-8a4c7cdeb70c4069804f4e33620dd77c2020-11-24T22:05:14ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-06-01XLII-2-W1330330810.5194/isprs-archives-XLII-2-W13-303-2019AN ADVANCED BENCHMARKING FOR IMAGE COMPOSITING EVALUATIONR. Giudici0L. Courtrai1S. Lefevre2Univ. Bretagne Sud – UMR 6074 IRISA, F-56000 Vannes, FranceUniv. Bretagne Sud – UMR 6074 IRISA, F-56000 Vannes, FranceUniv. Bretagne Sud – UMR 6074 IRISA, F-56000 Vannes, FranceThis 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.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/303/2019/isprs-archives-XLII-2-W13-303-2019.pdf
collection DOAJ
language English
format Article
sources DOAJ
author R. Giudici
L. Courtrai
S. Lefevre
spellingShingle R. Giudici
L. Courtrai
S. Lefevre
AN ADVANCED BENCHMARKING FOR IMAGE COMPOSITING EVALUATION
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet R. Giudici
L. Courtrai
S. Lefevre
author_sort R. Giudici
title AN ADVANCED BENCHMARKING FOR IMAGE COMPOSITING EVALUATION
title_short AN ADVANCED BENCHMARKING FOR IMAGE COMPOSITING EVALUATION
title_full AN ADVANCED BENCHMARKING FOR IMAGE COMPOSITING EVALUATION
title_fullStr AN ADVANCED BENCHMARKING FOR IMAGE COMPOSITING EVALUATION
title_full_unstemmed AN ADVANCED BENCHMARKING FOR IMAGE COMPOSITING EVALUATION
title_sort advanced benchmarking for image compositing evaluation
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2019-06-01
description 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.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/303/2019/isprs-archives-XLII-2-W13-303-2019.pdf
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