@article{43729d86d8f049bdac09b6a7613fbabd,
title = "Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization",
abstract = "In this letter, we describe and validate the first fully automatic parameter optimization for thermal synthetic aperture visualization. It replaces previous manual exploration of the parameter space, which is time-consuming and error-prone. We prove that the visibility of targets in thermal integral images is proportional to the variance of the targets' image. Since this is invariant to occlusion, it represents a suitable objective function for optimization. Our findings have the potential to enable fully autonomous search and recuse operations with camera drones.",
keywords = "Enhancement, computer vision, image processing",
author = "Indrajit Kurmi and Schedl, {David C.} and Oliver Bimber",
note = "Funding Information: Manuscript received February 10, 2020; revised March 17, 2020; accepted April 8, 2020. Date of publication May 6, 2020; date of current version April 22, 2021. This work was supported by the Austrian Science Fund (FWF) under Grant P 32185-NBL. (Corresponding author: Oliver Bimber.) The authors are with the Computer Science Department, Johannes Kepler University, 4040 Linz, Austria (e-mail: oliver.bimber@jku.at). This article has supplementary downloadable material available at https://ieeexplore.ieee.org, provided by the author. Color versions of one or more of the figures in this letter are available online at https://ieeexplore.ieee.org. Digital Object Identifier 10.1109/LGRS.2020.2987471 Fig. 1. (a) Our drone equipped with synchronized RGB and thermal cameras on a rotatable gimbal. (b) Principle of SA visualization, including the SFP parameters defined relative to the SAP: the distance d, and the tilt orientation angles θ,φ in polar coordinates. Publisher Copyright: {\textcopyright} 2004-2012 IEEE.",
year = "2021",
month = may,
doi = "10.1109/LGRS.2020.2987471",
language = "English",
volume = "18",
pages = "836--840",
journal = "IEEE Geoscience and Remote Sensing Letters",
issn = "1545-598X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",
}