Literature DB >> 31021742

Synthetic Aperture Imaging With Drones.

Oliver Bimber, Indrajit Kurmi, David C Schedl, Mike Potel.   

Abstract

Synthetic apertures sample the signal of wide aperture sensors with either arrays of static or single moving smaller aperture sensors whose individual signals are computationally combined to increase the resolution, depth-of-field, frame rate, contrast, and signal-to-noise ratio. This principle has been used for radar, telescopes, microscopes, sonar, ultrasound, laser, and optical imaging. With airborne optical sectioning (AOS), we apply camera drones for synthetic aperture imaging to uncover the ruins of a 19th century fortification system that is concealed by dense forest and shrubs. Compared to alternative airborne scanning technologies (such as LiDAR), AOS is cheaper, delivers surface color information, achieves higher sampling resolutions, and (in contrast to photogrammetry) does not suffer from inaccurate correspondence matches and long processing times.

Entities:  

Year:  2019        PMID: 31021742     DOI: 10.1109/MCG.2019.2896024

Source DB:  PubMed          Journal:  IEEE Comput Graph Appl        ISSN: 0272-1716            Impact factor:   2.088


  1 in total

1.  Combined person classification with airborne optical sectioning.

Authors:  Indrajit Kurmi; David C Schedl; Oliver Bimber
Journal:  Sci Rep       Date:  2022-03-09       Impact factor: 4.379

  1 in total

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