Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/7383
Title: Mapping 'Lantana camara': Accuracy Comparison of Various Fusion Techniques
Contributor(s): Taylor, Subhashni (author)orcid ; Kumar, Lalit (author)orcid ; Reid, Nicholas (author)orcid 
Publication Date: 2010
Handle Link: https://hdl.handle.net/1959.11/7383
Abstract: Fusion of panchromatic and multi-spectral QuickBird satellite imagery was carried out to evaluate the impact of fusion techniques on classification accuracies for Lantana mapping. This study compared four image fusion techniques, namely Brovey, Hue-Saturation-Value, Principal Components, and Gram-Schmidt Spectral Sharpening. Classification accuracy assessment was calculated using an error matrix for all images. Gram-Schmidt and Principal Components spectral sharpening techniques had an overall accuracy of 90.5 percent and 89.5 percent and a kappa coefficient of 0.85 and 0.84, respectively, compared to the MS image which had an overall accuracy of 86.3 percent and a kappa coefficient of 0.79. Brovey transformation and HSV performed poorly in the supervised classification with overall accuracies of 64.2 percent and 76.8 percent and kappa coefficients of 0.48 and 0.65, respectively. Visual and statistical analyses of the fused images showed that Gram-Schmidt and Principal Components spectral sharpening techniques preserved spectral quality much better than the Brovey and HSV fused images.
Publication Type: Journal Article
Source of Publication: Photogrammetric Engineering and Remote Sensing, 76(6), p. 691-700
Publisher: American Society for Photogrammetry and Remote Sensing
Place of Publication: United States of America
ISSN: 0099-1112
Field of Research (FOR): 050206 Environmental Monitoring
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Other Links: http://www.asprs.org/index.php?option=com_content&view=article&id=356&catid=47&Itemid=103
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