CRITICAL REFLECTION ON QUANTITATIVE ASSESSMENT OF IMAGE FUSION QUALITY
Autor(en): | Xu, S. Ehlers, M. |
Herausgeber: | Jiang, J. Shaker, A. Zhang, Z. |
Stichwörter: | Deep learning; Fusion quality; Image enhancement; Image fusion; Image fusion techniques; Image quality; Multi-model fusion; Multi-sensor fusion; Quality assessment; Quality indices; Quantitative assessment; Quantitative assessments; Remote sensing; Remote sensing, Critical reflections; Remote-sensing; Satellite image; Satellite images, Image fusion | Erscheinungsdatum: | 2022 | Herausgeber: | International Society for Photogrammetry and Remote Sensing | Enthalten in: | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | Band: | 43 | Ausgabe: | B3-2022 | Startseite: | 551 | Seitenende: | 557 | Zusammenfassung: | Image fusion technique has been extended its development from multi-sensor fusion, multi-model fusion to multi-focus fusion. More and more advanced techniques such as deep learning have been integrated into the development of image fusion algorithms. However, as an important aspect, fusion quality assessment has been received less attention. This paper intends to reflect on the commonly used indices for quantitative assessment and investigate how they can represent the fusion quality regarding spectral preservation and spatial improvement. We found that image dissimilarities are unavoidable due to the spectral coverage of different image sensors. Image fusion should integrate these dissimilarities when they are representing spatial improvement. Such integration will naturally change the pixel values. However, as the quality indices for the assessment of spectral preservation are measuring image dissimilarities, the integration of spatial information will lead to a low fusion quality assessment. For the evaluation of spatial improvement, the quality indices only work if the spatial details have been lost; however, in the case of spatial details gain, these indices do not reflect them as spatial improvements. Moreover, this paper raises attention to image processing procedures involved in image fusion, including image geo-registration, image clipping and image resampling, which will change image statistics and thereby influence the quality assessment when statistical indices are used. © Authors 2022 |
Beschreibung: | Conference of 2022 24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow, Commission III ; Conference Date: 6 June 2022 Through 11 June 2022; Conference Code:179854 |
ISSN: | 1682-1750 | DOI: | 10.5194/isprs-archives-XLIII-B3-2022-551-2022 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131950554&doi=10.5194%2fisprs-archives-XLIII-B3-2022-551-2022&partnerID=40&md5=a94acd8d4afbbb7020077906a60c61fd |
Zur Langanzeige
Seitenaufrufe
1
Letzte Woche
0
0
Letzter Monat
0
0
geprüft am 06.06.2024