Paper ID: 2409.19701

Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture

Vytautas Paura, Virginijus Marcinkevičius

The hyperspectral unmixing method is an algorithm that extracts material (usually called endmember) data from hyperspectral data cube pixels along with their abundances. Due to a lower spatial resolution of hyperspectral sensors data in each of the pixels may contain mixed information from multiple endmembers. In this paper we create a hyperspectral unmixing dataset, created from blueberry field data gathered by a hyperspectral camera mounted on a UAV. We also propose a hyperspectral unmixing algorithm based on U-Net network architecture to achieve more accurate unmixing results on existing and newly created hyperspectral unmixing datasets.

Submitted: Sep 29, 2024