Relief displacement of airborne objects
The increasing availability of unoccupied aircraft systems (UAS, also referred to as drones) has led to their use in taking vertical aerial photographs at relatively small spatial scales. These photographs can be used to measure the distances between objects appearing in the photographs. However, relief displacement can cause an object above or below ground level to appear at a point in a vertical aerial photograph that is not directly in-line with the object’s actual location, causing a measurement error. A UAS was used in this study as a photographed airborne object because its location and altitude could be controlled. We were interested in predicting the horizontal distance of the UAS’s appearance from the centre of a vertical aerial photograph. Predictions of the location of the photographed UAS’s appearance in vertical aerial photographs over both level and sloped surfaces matched measured appearance distances within 0.06–0.48 m. This study shows that the relief displacement formulas typically used to compute the height of a vertical structure appearing in a vertical aerial photograph can additionally be used to compute the actual location of an airborne object (e.g., a flying UAS, bird, bat) if the object’s altitude is known or can be estimated.
Authors
- Joe Crumpton (ORCID: https://orcid.org/0000-0002-5932-2480)
- Morgan B. Pfeiffer (ORCID: https://orcid.org/0000-0002-1079-5295)
- Sathishkumar Samiappan (ORCID: https://orcid.org/0000-0002-8443-883X)
- Krishnan Balasubramaniam (ORCID: https://orcid.org/0000-0003-2221-0933)
- Jared A. Elmore (ORCID: https://orcid.org/0000-0002-5980-1561)
- Bradley F. Blackwell (ORCID: https://orcid.org/0000-0002-2628-8933)
- Landon R. Jones (ORCID: https://orcid.org/0000-0003-1814-6115)
- Esteban Fernández‐Juricic (ORCID: https://orcid.org/0000-0001-5290-8078)
- Raymond B. Iglay (ORCID: https://orcid.org/0000-0001-7300-7244)
Institutions
- Animal and Plant Health Inspection Service (US)
- Purdue University West Lafayette (US)
- National Wildlife Research Center
- Mississippi State University (US)
Publication Details
- Journal
- Remote Sensing Letters
- Published
- 2024-08-12
- DOI
- https://doi.org/10.1080/2150704x.2024.2387131
- Citations
- 1
- Primary Topic
- Robotics and Sensor-Based Localization
- Type
- article
- Field-Weighted Citation Impact
- 1.30
Funders
- U.S. Department of Agriculture
- Mississippi State University
- Federal Aviation Administration
- Animal and Plant Health Inspection Service