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

Fuente: arXiv
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Auteurs principaux: Paura, Vytautas, Marcinkevičius, Virginijus
Format: Preprint
Publié: 2024
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author Paura, Vytautas
Marcinkevičius, Virginijus
author_facet Paura, Vytautas
Marcinkevičius, Virginijus
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_19701
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture
Paura, Vytautas
Marcinkevičius, Virginijus
Image and Video Processing
Computer Vision and Pattern Recognition
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.
title Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture
topic Image and Video Processing
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2409.19701