Taylor, Subhashni

Kumar, Lalit

Reid, Nick

Lewis, Craig

2012

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.

International Journal of Remote Sensing, 33(17), p. 5418-5437

1366-5901

0143-1161

https://hdl.handle.net/1959.11/9641

Taylor & Francis

Optimal band selection from hyperspectral data for 'Lantana camara' discrimination

Journal Article

Publication