PE&RS April 2015 - page 324

Rodríguez-Canosa, G.R., S. Thomas, J. del Cerro, A. Barrientos, and
B. MacDonald, 2012. A real-time method to detect and track
moving objects (DATMO) from unmanned aerial vehicles (UAVs)
using a single camera,. Remote Sensing, 4:1090–1111.
Rodriguez-Gonzalvez, P., D. Gonzalez-Aguilera, G. Lopez-Jimenez,
and I. Picon-Cabrera, 2014. Image-based modeling of built
environment from an unmanned aerial system, Automation in
Construction, 48:44–52.
Rohde, S., M. Putzke, and C. Wietfeld, 2013. Ad-hoc self-healing of
OFDMA networks using UAV-based relays, Ad Hoc Networks,
11(7):1893–1906.
Roldán, J.J., G. Joossen, D. Sanz, J. del Cerro, and A. Barrientos, 2015.
Mini-UAV based sensory system for measuring environmental
variables in greenhouses, Sensors, 15:3334–3350.
Rosen, P.A., S. Hensley, K. Wheeler, G. Sadowy, T. Miller, S. Shaffer,
R. Muellerschoen, C. Jones, H. Zebker, and S. Madsen, 2006.
UAVSAR: A new NASA airborne SAR system for science and
technology research, Proceedings of the 2006 IEEE Conference
on Radar, 24-27 April, Washington, D.C., pp. 22–29.
Rosnell, T., E. Honkavaara, and K. Nurminen, 2011. On geometric
processing of multi-temporal image data collected by light UAV
systems, International Archives of the Photogrammetry, Remote
Sensing and Spatial Information Sciences, 38:63–68.
Rosnell, T. and E. Honkavaara, 2012. Point cloud generation from aer-
ial image data acquired by a quadrocopter type micro unmanned
aerial vehicle and a digital still camera, Sensors, 12:453–480.
Ruangwiset, A., 2009. Path generation for ground target tracking
of airplane-typed UAV, Proceedings of the IEEE International
Conference on Robotics and Biomimetics, 21-26 February,
Bangkok, Thailand, pp. 1354–1358.
Rudol, P., and P. Doherty, 2008. Human body detection and geolo-
calization for UAV search and rescue missions using color and
thermal imagery, Proceedings of the IEEE Aerospace Conference,
01-08 March, Big Sky, Montana, pp. 1–8.
Rupar, M., J. Glancy, and B. Egg, 2009. Implementation of an FPGA-
based modem for UAV surveillance applications, Proceedings of
the IEEE Military Communications Conference (MILCOM 2009),
18-21 October, Boston, Massachusetts, pp. 1–6.
Saari, H., I. Pellikka, L. Pesonen, S. Tuominen, J. Heikkilä, C.
Holmlund, J. Mäkynen, K. Ojala, and T. Antila, 2011. Unmanned
aerial vehicle (UAV) operated spectral camera system for for-
est and agriculture applications, Proceedings of SPIE , 8174,
doi:10.1117/12.897585.
Saberioon, M.M., M.S.M. Amina, A.R. Anuar, A. Gholizadeh, A.
Wayayokd, and S. Khairunniza-Bejo, 2014. Assessment of rice
leaf chlorophyll content using visible bands at different growth
stages at both the leaf and canopy scale, International Journal of
Applied Earth Observation and Geoinformation, 32:35–45.
Salamí, E., C. Barrado, and E. Pastor, 2014. UAV flight experiments
applied to the remote sensing of vegetated areas, Remote
Sensing, 6:11051–11081.
Saldaña, R.R., and F.P. Martinez, 2007. Design of a millimeter syn-
thetic aperture radar (SAR) onboard UAV’s, Proceedings of the
14th IEEE International Conference on Electronics, Circuits and
Systems (ICECS’07), 11-14 December, Marrakech, Morocco, pp.
1–5.
Salvo, G., L. Caruso, and A. Scordo, 2014. Urban traffic analysis
through an UAV, Procedia - Social and Behavioral Sciences,
111:1083–1091.
Samad, A.M., N. Kamarulzaman, M.A. Hamdani, T.A. Mastor, and
K.A. Hashim, 2013. The potential of unmanned aerial vehicle
(UAV) for civilian and mapping application, Proceedings of the
IEEE 3rd International Conference on System Engineering and
Technology (ICSET), 19-20 August, Shah Alam, Malaysia, pp.
313–318.
Samkov, A., and V. Silkov, 2012. Some particular indices of ef-
fectiveness of unmanned aerial vehicle application, Aviation,
16(3):57–62.
Samseemoung, G., P. Soni, H.P.W. Jayasuriya, and V.M. Salokhe, 2012.
Application of low altitude remote sensing (LARS) platform for
monitoring crop growth and weed infestation in a soybean plan-
tation, Precision Agriculture, 13:611–627.
Sánchez-Benítez, D., J.M. de la Cruz, G. Pajares, and D. Gu,
2011. Visual control of a remote vehicle, Proceedings of
the International Conference on Intelligent Robotics and
Applications (ICIRA 2011) , Lecture Notes Artificial Intelligence
- Part II (H. Jeschke, D. Liu, and D. Schilberg, editors), Aachen,
Germany, Springer-Verlag, Berlín, Vol. 7102, pp. 579–588.
Sarda-Palomera, F., G. Bota, C. Viñolo, O. Pallarés, V. Sazatornil, L.
Brotons, S. Gomáriz, and F. Sardá, 2012. Fine-scale bird monitor-
ing from light unmanned aircraft systems, Ibis, 154(1):177–183.
SARS, 2014. Symposium - Agricultural Remote Sensing with UAVs:
Challenges and Opportunities, URL: https://scisoc.confex.com/
scisoc/2014am/webprogram/Session13358.html (last date ac-
cessed: 20 February 2015).
Sauerbier, M., and H. Eisenbeiss, 2010. UAVs for the documenta-
tion of archaeological excavations, International Archives of
Photogrammetry, Remote Sensing and Spatial Information
Sciences, Vol. XXXVIII, Part 5, Commission V Symposium,
Newcastle upon Tyne, UK, pp. 526–531.
Schiffman, R., 2014. Drones flying high as new tool for field biolo-
gists, Science, 344(6183):459.
Schlitz, M., 2004. A review of low-level aerial archaeology and its ap-
plication in Australia, Australian Archaeology, 59:51–58.
Schmale, D.G., B.R. Dingus, and C. Reinholtz, 2008. Development
and application of an autonomous unmanned aerial vehicle for
precise aerobiological sampling above agricultural fields, Journal
of Field Robotics, 25(3):133–147.
Scholtz, A., C. Kaschwich, A. Kruger, K. Kufieta, P. Schnetter, C.
Wilkens, T. Kruger, and P. Vorsmann, 2011. Development of a
new multi-purpose UAS for scientific application, International
Archives of Photogrammetry, Remote Sensing and Spatial
Information Sciences, XXXVIII-1/C22:149–154.
Schoonmaker, J., T. Wells, G. Gilbert, Y. Podobna, I. Petrosyuk, and
J. Dirbas, 2008. Spectral detection and monitoring of marine
mammals, Proceedings of the SPIE, Airborne Intelligence,
Surveillance, Reconnaissance (ISR) Systems and Applications,
Vol. 6946 06-1–694606-1-9. Orlando, Florida.
Schulz, H., 2011. The unmanned mission avionics test helicopter-
a flexible and versatile VTOL-UAS experimental system,
International Archives of Photogrammetry, Remote Sensing and
Spatial Information Sciences, XXXVIII-1/C22:309–314.
Science.gov Alliance, 2015. URL: http://www.science.gov/
topicpages/t/tactical+unmanned+aerial.html (last date accessed:
20 February 2015).
Seitz, C., and H. Altenbach, 2011. Project ArchEye - The quadra-
copter as the archaelogist’s eye, ISPRS International Archives
of Photogrammetry, Remote Sensing and Spatial Information
Sciences, XXXVIII-1/C22, 297–302.
Semsch, E., M. Jakob, D. Pavlicek, and M. Pechoucek, 2009.
Autonomous UAV surveillance in complex urban environments,
IEEE/WIC/ACM International Conference on Web Intelligence
and Intelligent Agent Technology - Workshops, 15-18 September,
Milan, Italy, pp. 82–85.
Shabayek, A.E.R., C. Demonceaux, O. Morel, and D. Fofi, 2011. Vision
based UAV attitude estimation: Progress and insights, Journal of
Intelligent and Robotic Systems, 65:295–308.
Shahbazi, M., J. Théau, and P. Ménard, 2014. Recent applications
of unmanned aerial imagery in natural resource management,
GIScience and Remote Sensing, 51(4):339–365.
Sheng, H., H. Chao, C. Coopmans, J. Han, M. McKee, and Y. Chen,
2010. Low-cost UAV-based thermal infrared remote sensing:
Platform, Calibration and Applications, Proceedings of the
2010 IEEE/ASME International Conference on Mechatronics
and Embedded Systems and Applications (MESA), 15-17 July,
Qingdao, China, pp. 38–43.
Shinohara, H., 2013. Composition of volcanic gases emitted during
repeating vulcanian eruption stage of Shinmoedake, Kirishima
Volcano, Japan, Earth Planets Space, 65:667–675.
Shi, J., J. Wang, and Y. Xuc, 2011. Object-based change detection
using georeferenced UAV images, ISPRS International Archives
of Photogrammetry, Remote Sensing and Spatial Information
Sciences, XXXVIII-1/C22:177–182.
324 April 2015 PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING