Hyperspectral Image Dataset for Individual Penguin Identification

TL;DR

This paper introduces a novel hyperspectral image dataset of penguins and demonstrates that spectral information from HS images can effectively identify individual penguins, advancing remote animal identification methods.

Contribution

It is the first to analyze spectral differences between penguins using hyperspectral imaging and provides a new dataset and methodology for individual animal identification.

Findings

Spectral differences enable penguin identification.

Hyperspectral images improve identification accuracy.

Dataset and code are publicly available.

Abstract

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/