Inverse Airborne Optical Sectioning

Rakesh John Amala Arokia Nathan, Indrajit Kurmi, Oliver Bimber

Research output: Contribution to journalArticlepeer-review

Abstract

We present Inverse Airborne Optical Sectioning (IAOS), an optical analogy to Inverse Synthetic Aperture Radar (ISAR). Moving targets, such as walking people, that are heavily occluded by vegetation can be made visible and tracked with a stationary optical sensor (e.g., a hovering camera drone above forest). We introduce the principles of IAOS (i.e., inverse synthetic aperture imaging), explain how the signal of occluders can be further suppressed by filtering the Radon transform of the image integral, and present how targets’ motion parameters can be estimated manually and automatically. Finally, we show that while tracking occluded targets in conventional aerial images is infeasible, it becomes efficiently possible in integral images that result from IAOS.
Original languageEnglish
Article number231
Number of pages11
JournalDrones
Volume6
Issue number9
DOIs
Publication statusPublished - Sept 2022

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

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