The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Unmanned aerial systems for photogrammetry and remote sensing: A review
Open accessAbstract
We discuss the evolution and state-of-the-art of the use of Unmanned Aerial Systems (UAS) in the field of Photogrammetry and Remote Sensing (PaRS). UAS, Remotely-Piloted Aerial Systems, Unmanned Aerial Vehicles or simply, drones are a hot topic comprising a diverse array of aspects including technology, privacy rights, safety and regulations, and even war and peace. Modern photogrammetry and remote sensing identified the potential of UAS-sourced imagery more than thirty years ago. In the last five years, these two sister disciplines have developed technology and methods that challenge the current aeronautical regulatory framework and their own traditional acquisition and processing methods. Navety and ingenuity have combined off-the-shelf, low-cost equipment with sophisticated computer vision, robotics and geomatic engineering. The results are cm-level resolution and accuracy products that can be generated even with cameras costing a few-hundred euros. In this review article, following a brief historic background and regulatory status analysis, we review the recent unmanned aircraft, sensing, navigation, orientation and general data processing developments for UAS photogrammetry and remote sensing with emphasis on the nano-micro-mini UAS segment.
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Cites
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Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
A New Approach to Linear Filtering and Prediction Problems
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“In Bendig et al. (2012) a mini-UAS MK-Okto by HiSystems GmbH equipped with either a NEC F30 IS thermal imaging system or a tetracam Mini MCA-4 is described for successful Normalized Difference Vegetation Index (NDVI) computation.”
MethodInfluentialHandbook of Unmanned Aerial Vehicles
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Cited by
A Survey on LiDAR Scanning Mechanisms
Raj, T., Hashim, F. H., Huddin, A. B., Ibrahim, M. F., & Hussain, A. (2020) · Electronics · doi:10.3390/electronics9050741 · Cited by 413
Zakeri, H., Nejad, F. M., & Fahimifar, A. (2017) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-016-9194-z · Cited by 304
Kong, X., & Hucks, R. G. (2023) · Automation in Construction · doi:10.1016/j.autcon.2023.104928 · Cited by 125
Advances in intelligent and autonomous navigation systems for small UAS
Bijjahalli, S., Sabatini, R., & Gardi, A. (2020) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2020.100617 · Cited by 123
Tayara, H., & Chong, K. T. (2018) · Sensors · doi:10.3390/s18103341 · Cited by 117
Metadata
- Authors
- Colomina, I., & Molina, P.
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 92
- Pages
- 79-97
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W1998943389
- Cited by
- 2,954
- References
- 5
- FWCI
- 272.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
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