Indrajit Kurmi, David Schedl, Oliver Bimber,
"Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization"
, in IEEE Geoscience and Remote Sensing Letters, IEEE Geoscience and Remote Sensing Letters, 5-2020, ISSN: 1558-0571
Original Titel:
Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization
Sprache des Titels:
Englisch
Original Kurzfassung:
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.
Forschungs-