Fluorescence‐based detection of field targets using an autonomous unmanned aerial vehicle system
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https://datadryad.org/dataset/doi:10.5061/dryad.9w0vt4bc3
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资源简介:
This dataset comprises of the IDL code referenced in the 'Open
Research' section of the Kaye and Pittman (2020) study
'Fluorescence‐based detection of field targets using an autonomous
unmanned aerial vehicle system' published in Methods in Ecology and
Evolution (https://doi.org/10.1111/2041-210X.13402). This
study describes a proof‐of‐concept autonomous unmanned aerial
vehicle (UAV) system that utilizes the fluorescence characteristics unique
to different materials to scan and acquire targets in the field e.g.
fossils, rocks and minerals, organisms and archaeological artefacts. This
is possible because these targets are often highly fluorescent against
lower fluorescence backgrounds and may exhibit different colours.
Fluorescence is stimulated by a near‐UV laser that is projected
across the ground as a horizontal line directly below the UAV. The IDL
code is for laser line and colour extractions in the laser scan strip. The
raw .jpeg data for the IDL code is not provided here as
this depends on what target is being scanned. All image data are
made available in the paper. Additional contextual information is
provided in the '2 MATERIALS AND METHODS' section of the paper,
especially in Figure 3.
提供机构:
Dryad
创建时间:
2020-08-13



