Author ORCID Identifier
Document Type
Data Set
Publication Date
10-2022
Keywords
Remote sensing, landmines, unmanned aerial vehicles (UAV), hyperspectral imaging, principal component analysis
Abstract
This data was collected with a DJI Matrice 600 UAV with a Corning microHSI 410 SHARK, Parrot Sequoia multispectral camera, and DJI Mavic 2 Enterprise Dual at Oklahoma State University CENFEX Explosives Training and Research Range.
Recommended Citation
Tuohy, Madison; de Smet, Timothy; and Pirro, Jalissa, "PFM-1 Antipersonnel Landmines from Three Optical Sensors and a Derivative Data Product" (2022). Earth Sciences Faculty Scholarship. 32.
https://orb.binghamton.edu/geology_fac/32
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
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