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Title: Optimal band selection from hyperspectral data for 'Lantana camara' discrimination
Contributor(s): Taylor, Subhashni (author)orcid ; Kumar, Lalit (author)orcid ; Reid, Nick (author)orcid ; Lewis, Craig (author)
Publication Date: 2012
DOI: 10.1080/01431161.2012.661093
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Abstract: The primary objective of this research was to determine the optimal hyperspectral wavelengths based on spectroscopy data over the spectral range of 450-2500 nm for the detection of the invasive species 'Lantana camara' L. (lantana) from seven of its co-occurring species. A procedure based on statistical analysis of the reflectance and the first derivative reflectance (FDR) identified 86 and 18 bands, respectively, where lantana significantly differed from its co-occurring species. The effectiveness of the identified optimal bands was then evaluated using Hyperion imagery. The original Hyperion image with 155 bands gave an overall accuracy of 80% compared to 77% and 76% from the 86- and 18-band spectral subsets, respectively. A pairwise comparison of the three error matrices showed no significant difference in the accuracy achieved. The FDR analysis combined with the statistical analysis proved to be a useful procedure for data reduction by refining the discrimination to fewer optimal bands for lantana detection with no adverse impact on classification accuracy.
Publication Type: Journal Article
Source of Publication: International Journal of Remote Sensing, 33(17), p. 5418-5437
Publisher: Taylor & Francis Ltd
Place of Publication: United Kingdom
ISSN: 1366-5901
Field of Research (FOR): 090905 Photogrammetry and Remote Sensing
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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