@article{5ffe17db05324451b7e2c960f0b55e79,
title = "Combined person classification with airborne optical sectioning",
abstract = "Fully autonomous drones have been demonstrated to find lost or injured persons under strongly occluding forest canopy. Airborne optical sectioning (AOS), a novel synthetic aperture imaging technique, together with deep-learning-based classification enables high detection rates under realistic search-and-rescue conditions. We demonstrate that false detections can be significantly suppressed and true detections boosted by combining classifications from multiple AOS—rather than single—integral images. This improves classification rates especially in the presence of occlusion. To make this possible, we modified the AOS imaging process to support large overlaps between subsequent integrals, enabling real-time and on-board scanning and processing of groundspeeds up to 10 m/s.",
keywords = "Forests, Histological Techniques, Humans, Optical Imaging, Optical Phenomena",
author = "Indrajit Kurmi and Schedl, {David C.} and Oliver Bimber",
note = "Funding Information: This research was funded by the Austrian Science Fund (FWF) under Grant Number P 32185-NBL and by the State of Upper Austria and the Austrian Federal Ministry of Education, Science, and Research via the LIT?Linz Institute of Technology under Grant Number LIT-2019-8-SEE-114. D.C.S was with Johannes Kepler University Linz, during the study, and is now at the University of Applied Sciences Upper Austria. Funding Information: This research was funded by the Austrian Science Fund (FWF) under Grant Number P 32185-NBL and by the State of Upper Austria and the Austrian Federal Ministry of Education, Science, and Research via the LIT—Linz Institute of Technology under Grant Number LIT-2019-8-SEE-114. D.C.S was with Johannes Kepler University Linz, during the study, and is now at the University of Applied Sciences Upper Austria. Publisher Copyright: {\textcopyright} 2022, The Author(s).",
year = "2022",
month = dec,
doi = "10.1038/s41598-022-07733-z",
language = "English",
volume = "12",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",
}