Publication
Title
Unmixing intimate mixtures using Bézier surfaces
Author
Abstract
Due to the complex interaction of incident light with intimately mixed materials, the relationship between acquired reflectance spectra and the composition of materials is highly nonlinear. Spectral variability due to changes in illumination and acquisition conditions further complicates the unmixing procedure. In this work, we propose a method to accurately characterize a nonlinear simplex by a Bezier surface, by utilizing training samples. The fractional abundances of a test sample can be estimated by reconstruction of its reflectance spectrum on the Bezier surface. Moreover, the proposed method is made invariant to changes in the acquisition and illumination conditions. Experiments are conducted on simulated and real laboratory-generated mineral powder mixtures. The experimental results confirm the potential of the proposed methodology.
Language
English
Source (book)
2023 13th Workshop on Hyperspectral Imaging and Signal Processing : Evolution in Remote Sensing (WHISPERS), 31 October 2023 - 02 November, 2023, Athens, Greece
Publication
2023
ISBN
979-83-503-9557-0
DOI
10.1109/WHISPERS61460.2023.10431306
Volume/pages
p. 1-5
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identifier
Creation 20.02.2024
Last edited 24.02.2024
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