Hyperspectral Imaging Honey Database
datasetposted on 22.04.2020 by Tessa Phillips, Ary Noviyanto, Waleed Abdulla
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This a spreadsheet of features extracted from hyperspectral images of New Zealand honey. The images of honey have been captured with a hyperspectral imager SOC-710 from Surface Optic. The hypercubes captured are between 400 - 1000nm in wavelength with a 5nm increment and have a 520 x 696 spatial resolution.
The system used to capture these images has been developed using rigorous testing and evaluation to create a standard for the hyperspectral imagery capture of honey.
The dataset comprises the features (128 spectral bands) of the hyperspectral images after a well-designed procedure for calibration, pre-processing and segmentation. This process produces a consistent dataset through all trials, and so it is comparable to the initial work on feature reduction and classification. There are six acquisitions of each honey sample; these are then captured by the hyperspectral imagery and calibrated, pre-processed and segmented to get the final spectral information.