Presentation
5 October 2023 Mitigating illumination-, leaf-, and view-angle dependencies in hyperspectral imaging using polarimetry
Author Affiliations +
Abstract
We have developed and deployed a mast-mounted hyperspectral imaging polarimeter (HIP) and imaged corn fields across multiple diurnal cycles and growing seasons. Using the polarization data, we present results and methods demonstrating the use of polarized bidirectional reflectance distribution functions (pBRDFs) to correct for surface glare when measuring light more deeply scattered from the tissues. This technique reduces time of day, solar incidence angle, and viewing angle as confounding factors for spectral measurements.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Danny Krafft, Grant Scarboro, Peter Balint-Kurti, Colleen Doherty, and Michael W. Kudenov "Mitigating illumination-, leaf-, and view-angle dependencies in hyperspectral imaging using polarimetry", Proc. SPIE PC12690, Polarization Science and Remote Sensing XI, PC126900E (5 October 2023); https://doi.org/10.1117/12.2676358
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KEYWORDS
Hyperspectral imaging

Polarimetry

Bidirectional reflectance transmission function

Data modeling

Agriculture

Cameras

Polarization

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