Poirier, N., F. Hautefeuille, and C. Calastrenc, 2013. Low altitude
thermal survey by means of an automated unmanned aerial
vehicle for the detection of archaeological buried structures,
Archaeological Prospection
, 20(4):303–307.
Pöllänena, R., H. Toivonena, K. Peräjärvi, T. Karhunen, T. Ilander, J.
Lehtinen, K. Rintala, T. Katajainen, J. Niemelä, and M. Juusela,
2009. Radiation surveillance using an unmanned aerial vehicle,
Applied Radiation and Isotopes
, 67:340–344.
Pölönen, I., H. Salo, H. Saari, J. Kaivosoja, L. Pesonen, and E.
Honkavaara, 2012. Biomass estimator for NIR image with a
few additional spectral band images taken from light UAS,
Proceedings of SPIE
, 8369, doi:10.1117/12.918551.
Pozo del, S., P. Rodríguez-Gonzálvez, D. Hernández-López, and B.
Felipe-García, 2014. Vicarious radiometric calibration of a mul-
tispectral camera onboard an unmanned aerial system,
Remote
Sensing
, 6:1918–1937.
Primicerio, J., S.F. di Gennaro, E. Fiorillo, L. Genesio, E. Lugato, A.
Matese, and F.P. Vaccari, 2012. A flexible unmanned aerial vehi-
cle for precision agriculture,
Precision Agriculture
13(4):517–523.
PRlog Press Release, 2013. Miniature thermal imaging camera for UAVs,
URL:
-
camera-for-uavs.html
(last date accessed: 20 February 2015).
Qian, Y., C. Shengbo, L. Peng, C. Tengfei, M. Ming, L. Yanli, Z. Chao,
and Z. Liang, 2012. Application of low-altitude remote sensing
image by unmanned airship in geological hazards investigation,
Proceedings of the Image and Signal Processing 5
th
International
Congress
, 16-18 October, Chongqing, Sichuan, China, pp.
1015–1018.
Qin, R., A. Grün, and X. Huang, 2013. UAV project - Building a
reality-based 3D model,
Coordinates
, 9:18–26.
QuantaLab-IAS-CSIC, 2015. Laboratory for research methods in quan-
titative remote sensing, URL:
/
(last
date accessed: 20 February 2015).
Quaritsch, M., K. Kruggl, D. Wischounig-Strucl, S. Bhattacharya, M.
Shah, and B. Rinner, 2010. Networked UAVs as aerial sensor
network for disaster management applications,
Elektrotechnik &
Informationstechnik
, 127(3):56–63.
Quaritsch M., R. Kuschnig, H. Hellwagner, and B. Rinner, 2011.
Fast aerial image acquisition and mosaicking for emergency
response operations by collaborative UAVs,
Proceedings of the
8
th
International Conference on Information Systems for Crisis
Response and Management
(ISCRAM 2011)
(J. Dugdale and D.
Mendonça, editors), 08-11 May, Berlin, Heidelberg, New York:
Springer Verlag GmbH, pp. 1–5.
Quinchia, A.G., G. Falco, E. Falletti, F. Dovis, and C. Ferrer, 2013. A
comparison between different error modeling of MEMS applied
to GPS/INS integrated systems,
Sensors
, 13:9549–9588.
Rabatel, G., N. Gorretta, and S. Labbé, 2014a. Getting simultaneous
red and near-infrared band data from a single digital camera for
plant monitoring applications: Theoretical and practical study,
Biosystems Engineering
, 117:2–14.
Rabatel, G., and S. Labbé, 2014b. Registration of visible and near
infrared aerial images based on Fourier-Mellin transform,
Proceedings of the 2
nd
International Conference on Robotics and
Associated High-Technologies and Equipment for Agriculture
and Forestry
(A. Ribeiro and P: Gonzalez-de-Santos, editors), 21-
23 May, Madrid, Spain, 10 p.
Ramana, M.V., V. Ramanathan, D. Kim, G.C. Roberts, and C.E.
Corrigan, 2007. Albedo, atmospheric solar absorption and heat-
ing rate measurements with stacked UAVs,
Quarterly Journal of
the Royal Meteorology So
ciety, 133:1913–1931.
Rango, A., A. Laliberte, J.E. Herrick, C. Winters, K. Havstad, C. Steele,
and D. Browning, 2009. Unmanned aerial vehicle-based remote
sensing for rangeland assessment, monitoring, and management,
Journal of Applied Remote Sensing
, 3:033542, 15 p.
Rango, A., K. Havstad, and R. Estell, 2011. The utilization of histori-
cal data and geospatial technology advances at the Jornada
Experimental Range to support western America ranching cul-
ture,
Remote Sensing
, 3:2089–2109.
Rango, A., and A. Laliberte, 2012. Impact of flight regulations on
effective use of unmanned aircraft systems for natural resources
applications,
Journal of Applied Remote Sensing
4(1):1–12.
Rathinam, S., P. Almeida, Z. Kim, S. Jackson, A. Tinka, W. Grossman,
and R. Sengupta, 2007. Autonomous searching and tracking
of a river using an UAV,
Proceedings of the American Control
Conference
, 09-13 July, New York, pp. 359–364.
Rau, J., J. Jhan, C. Lob, and Y. Linb, 2011. Landslide mapping using
imagery acquired by a fixed-wing UAV,
ISPRS International
Archives of the Photogrammetry, Remote Sensing and Spatial
Information Sciences
, XXXVIII-1/C22:195–200.
Rehak, M., R. Mabillard, and J. Skaloud, 2013. A micro-UAV with the
capability of direct georeferencing,
ISPRS International Archives
of the Photogrammetry, Remote Sensing and Spatial Information
Sciences
, XL-1/W2:317–323.
Rehn, C., 2014. Drones to help identify oil and gas reserves in the
North Sea, Energy Global, URL:
news/exploration/articles/Flying_drones_to_help_identify_oil_
and_gas_reserves_in_the_North_Sea.aspx
(last date accessed: 20
February 2015).
Reid, A., F. Ramos, and S. Sukkarieh, 2011. Multi-class classifica-
tion of vegetation in natural environments using an unmanned
aerial system,
Proceedings of the IEEE International Conference
on Robotics and Automation
, 09-13 May, Shanghai, China, pp.
2953–2959.
Remondino, F., L. Barazzetti, F. Nex, M. Scaioni, and D. Sarazzi, 2011.
UAV photogrammetry for mapping and 3D modeling - Current
status and future perspectives,
International Archives of the
Photogrammetry, Remote Sensing and Spatial Information
Sciences
, 38(1/C22):25–31.
Remondino, F., S. del Pizzo, T. Kersten, and S. Troisi, 2012. Low-cost
and open-source solutions for automated image orientation - A
critical overview,
Progress in Cultural Heritage Preservation,
Lecture Notes in Computer Science
(M. Ioannides, D. Fritsch,
J. Leissner, R. Davies, F. Remondino and R. Caffo, editors),
Springer, Berlin Heidelberg, Vol. 7616, pp. 40–54.
Remy, M., K. de Macedo, and J. Moreira, 2012. The first UAV-based
P- and X-band interferometric SAR system,
IEEE International
Geoscience and Remote Sensing Symposium (IGARSS)
, 22-27
July, Munich, Germany, pp. 5041–5044.
Ren, H., G. Yan, R. Liu, R. Hu, T. Wang, and X. Mu, 2013. Spectral
recalibration for in-flight broadband sensor using man-made
ground targets,
IEEE Transactions on Geoscience Remote
Sensing
, 51(7):4316-4329.
Restas, A., 2006. Forest fire management supporting by UAV
based air reconnaissance results of Szendro fire department,
Hungary,
Proceedings of the First International Symposium on
Environment Identities and Mediterranean Area
,
(ISEIMA’06)
,
09-12 July, Corte-Ajaccio, France, pp. 73–77.
Reuder, J., P. Brisset, M. Jonassen, M. Müller, and S. Mayer, 2009. The
small unmanned meteorological observer SUMO: A new tool for
atmospheric boundary layer research,
Meteorol Z
, 18(2):141–147.
RHEA, 2015. Robot fleets for highly effective agriculture and forestry
management, URL:
/
(last date ac-
cessed: 20 February 2015).
Richert, D., and J. Cortés, 2013. Optimal leader allocation in UAV for-
mation pairs ensuring cooperation,
Automatica
, 49(11):3189–3198.
Rieke, M., T. Foerster, J. Geipel, and T. Prinz, 2011. High-precision
positioning and real-time data processing of UAV-Systems,
International Archives of the Photogrammetry, Remote Sensing
and Spatial Information Sciences
, 14-16 September, Zurich,
Switzerland, (Conference on Unmanned Aerial Vehicle in
Geomatics) Vol. XXXVIII-1/C22 UAV-g, 6 p.
Rinaudo, F., F. Chiabrando, A. Lingua, and A. Span, 2012.
Archaeological site monitoring: UAV photogrammetry can be an
answer,
International Archives of the Photogrammetry, Remote
Sensing and Spatial Information Sciences
, XXXIX-B5:583–588.
Robles-Kelly, A., and C.P. Huynh, 2010. Spectral image acquisition,
Imaging spectroscopy for scene analysis,
Advances in Computer
Vision and Pattern Recognition
, Springer, London, pp. 9–15.
Roca, D., S. Lagüela, L. Díaz-Vilariño, J. Armesto, and P. Arias, 2013.
Low-cost aerial unit for outdoor inspection of building façades,
Automation in Construction
, 36:128–135.
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