Inverse Airborne Optical Sectioning

Autor: Rakesh John Amala Arokia Nathan, Indrajit Kurmi, Oliver Bimber
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Drones, Vol 6, Iss 9, p 231 (2022)
Druh dokumentu: article
ISSN: 2504-446X
DOI: 10.3390/drones6090231
Popis: 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.
Databáze: Directory of Open Access Journals