mlsanityData to 14 Oct 2026

Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization

arXiv 2012.08606 ↗First posted 15 Dec 2020cs.CVcited by 13

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Abstract (arXiv)

Airborne optical sectioning, an effective aerial synthetic aperture imaging technique for revealing artifacts occluded by forests, requires precise measurements of drone poses. In this article we present a new approach for reducing pose estimation errors beyond the possibilities of conventional Perspective-n-Point solutions by considering the underlying optimization as a focusing problem. We present an efficient image integration technique, which also reduces the parameter search space to achieve realistic processing times, and improves the quality of resulting synthetic integral images.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Dec 2020.

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Citing papers per year: 2021: 3; 2022: 4; 2023: 3; 2024: 0; 2025: 2; 2026: 1.

13 papers.

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