Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization

Indrajit Kurmi; David Schedl; Oliver Bimber

doi:10.1109/LGRS.2020.2987471

Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization

Indrajit Kurmi, David Schedl, Oliver Bimber

Institute of Computer Graphics

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	9086501
Number of pages	5
Journal	IEEE Geoscience and Remote Sensing Letters
DOIs	https://doi.org/10.1109/LGRS.2020.2987471
Publication status	Published - May 2020

Fields of science

102 Computer Sciences
102003 Image processing
102008 Computer graphics
102015 Information systems
102020 Medical informatics
103021 Optics

JKU Focus areas

Digital Transformation

Access to Document

10.1109/LGRS.2020.2987471

Cite this

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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.",

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