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dc.contributor.authorAshraf, Muhammad Salman
dc.contributor.authorBrabyn, Lars
dc.contributor.authorHicks, Brendan J.
dc.identifier.citationAshraf, S., Brabyn, L. & Hicks, B. J. (2012). Introducing contrast and luminance normalisation to improve the quality of subtractive resolution merge technique. International Journal of Image and Data Fusion, published online 23 April 2013.en_NZ
dc.description.abstractSubtractive resolution merge (SRM) is a contemporary image fusion method that produces highly preserved spatial and spectral resolution. This method is limited to dual sensor platforms with specific band ratios between the high-resolution panchromatic image (HRPI) and the low-resolution multispectral image (LRMI). An additional problem with SRM is that some bands are over- or under-represented due to the normalisation function applied. This article provides two modifications that resolve these limitations. SRM builds a synthetic low-resolution panchromatic image (LRPISYN) from the weighted sum of the LRMI bands. This image is modified by using a spatially resampled HRPI instead. The second modification is the use of a contrast and luminance index for the normalising function. These two modifications are tested on QuickBird images (multispectral and panchromatic), as well as fusing SPOT-5 (Satellite Pour l'Observation de la Terre) multispectral image and an aerial photograph. The results show improved quantitative metrics and unsupervised classification compared with the standard SRM technique and other contemporary image fusion methods. Both of these modifications are grouped into a patent pending technique that is called contrast and luminance normalised fusion.en_NZ
dc.relation.ispartofInternational Journal of Image and Data Fusion
dc.subjectimage fusionen_NZ
dc.subjectsubtractive resolution merge (SRM)en_NZ
dc.subjectnormalisation function (NF)en_NZ
dc.subjectnormalisation function (NF)en_NZ
dc.subjectNew Zealanden_NZ
dc.subjectCLN fusionen_NZ
dc.titleIntroducing contrast and luminance normalisation to improve the quality of subtractive resolution merge techniqueen_NZ
dc.typeJournal Articleen_NZ
dc.relation.isPartOfInternational Journal of Image and Data Fusionen_NZ

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