Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization

In this article, we describe and validate the first fully automatic parameter optimization for thermal synthetic aperture visualization. It replaces previous manual exploration of space, which is time consuming error prone. We prove that visibility targets in integral images proportional to variance targets' image. Since invariant occlusion it represents a suitable objective function optimization. Our findings have potential enable autonomous search recuse operations with camera drones.