Hyperspectral Image Dataset for Individual Penguin Identification
This work addresses remote individual animal identification for conservation and other applications, but it is incremental as it applies hyperspectral imaging to a new dataset.
The paper tackled individual penguin identification by constructing a novel hyperspectral image dataset of 27 penguins and demonstrated that spectral information can be used for this task, showing effectiveness in the results.
Remote individual animal identification is important for food safety, sport, and animal conservation. Numerous existing remote individual animal identification studies have focused on RGB images. In this paper, we tackle individual penguin identification using hyperspectral (HS) images. To the best of our knowledge, it is the first work to analyze spectral differences between penguin individuals using an HS camera. We have constructed a novel penguin HS image dataset, including 990 hyperspectral images of 27 penguins. We experimentally demonstrate that the spectral information of HS image pixels can be used for individual penguin identification. The experimental results show the effectiveness of using HS images for individual penguin identification. The dataset and source code are available here: https://033labcodes.github.io/igrass24_penguin/