Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization

Indrajit Kurmi, David C. Schedl, Oliver Bimber

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Airborne optical sectioning, an effective aerial synthetic aperture imaging technique for revealing artifacts occluded by forests, requires precise measurements of drone poses. In this letter, 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.

Original languageEnglish (American)
JournalIEEE Geoscience and Remote Sensing Letters
DOIs
Publication statusPublished - 2021
Externally publishedYes

Keywords

  • Cameras
  • Enhancement
  • Force
  • Forestry
  • Optical sensors
  • Optimization
  • Pose estimation
  • Thermal sensors
  • image processing and computer vision.

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