Relevant bibliographies by topics / Aerial photography in traffic engineering

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Aerial photography in traffic engineering'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Aerial photography in traffic engineering"

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Ekstrand, S. "Close range forest defoliation effects of traffic emissions assessed using aerial photography." Science of The Total Environment 146-147 (May 1994): 149–55. http://dx.doi.org/10.1016/0048-9697(94)90231-3.

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Makigami, Yasuji, Hamao Sakamoto, and Masachika Hayashi. "An Analytical Method of Traffic Flow Using Aerial Photographs." Journal of Transportation Engineering 111, no. 4 (July 1985): 377–94. http://dx.doi.org/10.1061/(asce)0733-947x(1985)111:4(377).

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Dowling, Richard G., and Willis W. K. Cheng. "Evaluation of Speed Measurement and Prediction Techniques for Signalized Arterials." Transportation Research Record: Journal of the Transportation Research Board 1564, no. 1 (January 1996): 20–29. http://dx.doi.org/10.1177/0361198196156400103.

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The ability to accurately measure and predict the average speed of traffic for different facilities and conditions has become increasingly important with the implementation of the Environmental Protection Agency's Transportation Conformity Rule. Average speed is a vital input into motor vehicle emission rate models. Three speed measurement techniques (floating cars, loop detectors, and aerial photographs) and two average travel speed prediction techniques (the Highway Capacity Manual method for arterials and TRANSYT-7F for signalized arterials) are evaluated. These techniques are compared and evaluated against 4 hr of field data gathered for an 8-mi (13-km) section of Ventura Boulevard in Los Angeles, California. The mean speeds measured by floating cars and aerial photographs were in close agreement (within 6 percent of each other). Loop detectors generally produced mean speeds 22 percent higher than the floating car measurements, even after correcting for the differences between the space mean speeds measured by floating cars and the time mean speeds measured by the loops. TRANSYT-7F was able to predict the average travel speeds on the arterial within 3 percent of the floating car measurements and 5 percent of the aerial photograph measurements. The Highway Capacity Manual estimates were uniformly 18 percent lower than the measured floating car speeds. A correction to the method improved the estimates but tended to slightly over-compensate. The adjusted estimated speeds were 9 percent higher than the floating car speeds.
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Luo, Zhang, Wang, Wang, and Meng. "Traffic Patrolling Routing Problem with Drones in an Urban Road System." Sensors 19, no. 23 (November 25, 2019): 5164. http://dx.doi.org/10.3390/s19235164.

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The remarkable development of various sensor equipment and communication technologies has stimulated many application platforms of automation. A drone is a sensing platform with strong environmental adaptability and expandability, which is widely used in aerial photography, transmission line inspection, remote sensing mapping, auxiliary communication, traffic patrolling, and other fields. A drone is an effective supplement to the current patrolling business in road traffic patrolling with complex urban buildings and road conditions and a limited ground perspective. However, the limited endurance of patrol drones can be directly solved by vehicles that cooperate with drones on patrolling missions. In this paper, we first proposed and studied the traffic patrolling routing problem with drones (TPRP-D) in an urban road system. Considering road network equations and the heterogeneity of patrolling tasks in the actual patrolling process, we modeled the problem as a double-layer arc routing problem (DL-ARP). Based on graph theory and related research work, we present the mixed integer linear programming formulations and two-stage heuristic solution approaches to solve practical-sized problems. Through analysis of numerical experiments, the solution method proposed in this paper can quickly provide an optimal path planning scheme for different test sets, which can save 9%–16% of time compared with traditional vehicle patrol. At the same time, we analyze several relevant parameters of the patrol process to determine the effect of coordinated traffic patrol. Finally, a case study was completed to verify the practicability of the algorithm.
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Yoo, Sang-Lok, and Jong-Chul Jeong. "Safe Navigation Distance Between Marine Routes and Aquaculture Farms in South Korea Using Gaussian Mixture Model." Sensors 20, no. 5 (February 25, 2020): 1246. http://dx.doi.org/10.3390/s20051246.

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The purpose of this study was to determine the minimum separation distance between aquaculture farms and ship traffic to prevent damage to either the farms or the vessels. A high-risk area in South Korea was selected for the study by overlapping shipping routes with fisheries using satellite and aerial photographs. The annual frequency of damage was calculated based on a probability distribution applied to the sea area, and a safe distance between the aquaculture farms and the traffic was derived. The Kolmogorov–Smirnov (KS) test was conducted to determine whether the Gaussian mixture model (GMM) follows the data of this study. It was found that a safe distance of at least 1000 m is needed to avoid farm or vessel damage. Then, it is possible to prevent damage to vessel propellers and fisheries locating aquaculture farms at the minimum safe distance from the traffic routes. For protection and security of these structures, the installation of a set of wirelessly Internet of Underwater Things (IoUT) sensors that can transmit the farm location to the ship’s navigator were suggested.
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Hong, Tao, Qiye Yang, Peng Wang, Jinmeng Zhang, Wenbo Sun, Lei Tao, Chaoqun Fang, and Jihan Cao. "Multitarget Real-Time Tracking Algorithm for UAV IoT." Wireless Communications and Mobile Computing 2021 (August 24, 2021): 1–15. http://dx.doi.org/10.1155/2021/9999596.

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Unmanned aerial vehicles (UAVs) have increased the convenience of urban life. Representing the recent rapid development of drone technology, UAVs have been widely used in fifth-generation (5G) cellular networks and the Internet of Things (IoT), such as drone aerial photography, express drone delivery, and drone traffic supervision. However, owing to low altitude and low speed, drones can only limitedly monitor and detect small target objects, resulting in frequent intrusion and collision. Traditional methods of monitoring the safety of drones are mostly expensive and difficult to implement. In smart city construction, a large number of smart IoT cameras connected to 5G networks are installed in the city. Captured drone images are transmitted to the cloud via a high-speed and low-latency 5G network, and machine learning algorithms are used for target detection and tracking. In this study, we propose a method for real-time tracking of drone targets by using the existing monitoring network to obtain drone images in real time and employing deep learning methods by which drones in urban environments can be guided. To achieve real-time tracking of UAV targets, we employed the tracking-by-detection mode in machine learning, with the network-modified YOLOv3 (you only look once v3) as the target detector and Deep SORT as the target tracking correlation algorithm. We established a drone tracking dataset that contains four types of drones and 2800 pictures in different environments. The tracking model we trained achieved 94.4% tracking accuracy in real-time UAV target tracking and a tracking speed of 54 FPS. These results comprehensively demonstrate that our tracking model achieves high-precision real-time UAV target tracking at a reduced cost.
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Mehmood, Atif, and Said M. Easa. "Optimizing geometric design of roundabouts: multi-objective analysis." Canadian Journal of Civil Engineering 33, no. 1 (January 1, 2006): 29–40. http://dx.doi.org/10.1139/l05-078.

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The main objectives of roundabout design are to maximize traffic safety and operational efficiency. Traditionally, because of the complexity of the system and the multiple objectives involved, the design process is iterative and time-consuming. A minor change in the geometry can result in significant changes in the system performance (operation and safety). This paper presents an optimization model that directly provides the roundabout geometry that optimizes two objectives: design consistency and operational efficiency. Design consistency is represented by the mean difference in operating speeds for various conflicting vehicle paths and operational efficiency is represented by the average roundabout delay. Vehicle paths (through, right, and left) and roundabout delay are modeled for all roundabout approaches. The input geometric data to the model can be easily obtained from an aerial photograph of the selected site using a geographic information systems (GIS) software. The system performance is optimized subject to geometric and traffic constraints. The proposed model is applicable to single-lane roundabouts (urban and rural) with four legs intersecting at right angles. Application of the model to an actual proposed roundabout site is presented. This proposed approach provides the optimum solution directly and is also more efficient than the traditional iterative approach. Key words: geometric design, roundabouts, horizontal curve, radius, optimization, consistency, capacity, traffic delay.
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Coifman, Benjamin, Lizhe Li, and Wen Xiao. "Resurrecting the Lost Vehicle Trajectories of Treiterer and Myers with New Insights into a Controversial Hysteresis." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 20 (July 11, 2018): 25–38. http://dx.doi.org/10.1177/0361198118786473.

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The 1974 paper by Treiterer and Myers is a seminal work in traffic flow theory. This longevity is in part because of the impressive collection of manually extracted vehicle trajectories. To date, only a few studies have rivaled the scale of the empirical vehicle trajectory data used in Treiterer and Myers. Their data collection used high-speed aerial photography and manual data reduction to follow hundreds of vehicles. In spite of the Herculean collection effort, the trajectory data set was never released and has since been lost. Fortunately, the plots survive and the present work re-extracts the vehicle trajectory data from the time–space diagrams. The discussion places the value of the data in context and then uses the data to put an end to decades of misinterpretation that started with Treiterer himself. The central thesis of Treiterer and Myers generated considerable interest: a hysteresis whereby drivers exhibit different fundamental behavior depending on whether they are entering or exiting a disturbance. There has been extensive debate about the authors’ findings in the literature, but without the original data set any interpretation has required considerable speculation. With the resurrected trajectories, this work reexamines the vehicles underlying the hysteresis and finally quells the speculation. Rather than arising from car following behavior, it turns out that the enigmatic progression arose from a combination of lane change maneuvers and unremarkable transitions into or out of the congested regime. On publication, the re-extracted data from this paper will be released to the research community.
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Park, Bum-Jin, Taehyeong Kim, Inchul Yang, Jinnyung Heo, and Bongsoo Son. "A method for measuring accurate traffic density by aerial photography." Journal of Advanced Transportation 49, no. 4 (October 1, 2014): 568–80. http://dx.doi.org/10.1002/atr.1288.

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Mauelshagen, L. "LOW ALTITUDE AERIAL PHOTOGRAPHY." Photogrammetric Record 12, no. 68 (August 26, 2006): 239–41. http://dx.doi.org/10.1111/j.1477-9730.1986.tb00561.x.

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Dissertations / Theses on the topic "Aerial photography in traffic engineering"

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Ambardekar, Amol A. "Efficient vehicle tracking and classification for an automated traffic surveillance system." abstract and full text PDF (free order & download UNR users only), 2007. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1451111.

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Jiang, Zhuojun. "Incorporating image-based data in AADT estimation methodology and numerical investigation of increased accuracy /." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1123724063.

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Thesis (Ph. D.)--Ohio State University, 2005.
Title from first page of PDF file. Document formatted into pages; contains xi, 184 p.; also includes graphics (some col.). Includes bibliographical references (p. 158-167). Available online via OhioLINK's ETD Center
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Gifford, Eric Allan 1965. "Hough transform extraction of cartographic fiducial marks from aerial photography." Thesis, The University of Arizona, 1991. http://hdl.handle.net/10150/277903.

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Cartographic compilation requires precision mensuration. The calibration of mensuration processes is based on specific fiducials. External fiducials, around the exterior frame of the image, must be precisely measured to establish the overall physical geometry. Internal fiducials are provided within the image by placement of cloth panels on the ground at locations whose position is precisely known. Both types of fiducials must be known within the pixel space of a digitized image in order for the feature extraction process to be accurate with respect to delineated features. Precise mensuration of these fiducials requires that a cartographer view the image on a display and use pointing devices, such as a mouse, to pick the exact point. For accurate fiducial location, the required manual operations can be an added time-consuming task in the feature extraction process. Interactive tools which eliminate the precise pointing action for the operator are described in this thesis. The operator is required only to "box-in" the fiducial, using a simple drawing tool, select the fiducial function, and the software of the tool returns the precise location of the fiducial.
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Buckley, Craig. "Photomosaicing and automatic topography generation from stereo aerial photography." Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/790.

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Gombos, Andrew David. "DETECTION OF ROOF BOUNDARIES USING LIDAR DATA AND AERIAL PHOTOGRAPHY." UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_theses/75.

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The recent growth in inexpensive laser scanning sensors has created entire fields of research aimed at processing this data. One application is determining the polygonal boundaries of roofs, as seen from an overhead view. The resulting building outlines have many commercial as well as military applications. My work in this area has created a segmentation algorithm where the descriptive features are computationally and theoretically simpler than previous methods. A support vector machine is used to segment data points using these features, and their use is not common for roof detection to date. Despite the simplicity of the feature calculations, the accuracy of our algorithm is similar to previous work. I also describe a basic polygonal extraction method, which is acceptable for basic roofs.
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Dechering, Matthew J. "Traffic Management of Small-Unmanned Aerial Systems in an Urban Environment." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1554216904089988.

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Wolters, Dustin Joseph. "Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437666741.

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Bredenkamp, Adolf Friedrich Ludwig. "Development and control of a 3-axis stabilised platform." Thesis, Link to the online version, 2007. http://hdl.handle.net/10019/380.

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Dowd, Garrett E. "Improving Autonomous Vehicle Safety using Communicationsand Unmanned Aerial Vehicles." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574861007798385.

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Schoepflin, Todd Nelson. "Algorithms for estimating mean vehicle speed using uncalibrated traffic management cameras /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/6034.

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Books on the topic "Aerial photography in traffic engineering"

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Jester, Jason. A study of the use of low altitude airborne multispectral scanning for preliminary analysis of highway project sites. Columbus, Ohio: Ohio Dept. of Transportation, 2002.

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McGee, Hugh W. Impact of red light camera enforcement on crash experience. Washington, D.C: National Academy Press, 2003.

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McFadden, John. Synthesis and evaluation of red light running automated enforcement programs in the United States. Washington, D.C: U.S. Dept. of Transportation, Federal Highway Administration, Office of Highway Safety Infrastructure, 1999.

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Bell, Alan D. Audubon Lake Island erosion study using aerial photography and geographic information systems. Denver, Colo: U.S. Bureau of Reclamation, 1992.

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Leoni, Michele. Problematiche in tema di autovelox: Con rassegna giurisprudenziale. 3rd ed. Padova: CEDAM, 2000.

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Michele, Leoni. Problematiche in tema di autovelox. Padova: CEDAM, 1995.

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Ramelli, A. R. The Meers Fault: Tectonic activity in southwestern Oklahoma. Washington, DC: Division of Engineering Safety, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1987.

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United States. Congress. House. Committee on Transportation and Infrastructure. Subcommittee on Highways and Transit. Automated enforcement--red light cameras: Hearing before the Subcommittee on Highways and Transportation [i.e. Transit] of the Committee on Transportation and Infrastructure, House of Representatives, One Hundred Seventh Congress, first session, July 31, 2001. Washington: U.S. G.P.O., 2001.

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Turner, Shawn. Video enforcement for HOV lanes: Field test results for the I-30 HOV lane in Dallas. College Station, Tex: Texas Transportation Institute, Texas A&M University System, 1998.

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Gong cheng di zhi yao gan pan shi yu ying yong. Beijing Shi: Zhongguo tie dao chu ban she, 2011.

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Book chapters on the topic "Aerial photography in traffic engineering"

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Petrovski, Andrei, Prapa Rattadilok, and Sergey Petrovskii. "Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance." In Engineering Applications of Neural Networks, 161–75. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44188-7_12.

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Yi, Zhang, and Mu Sihui. "Study of Three-Dimensional Virtual Simulation System Based on Aerial Photography Image Information." In Lecture Notes in Electrical Engineering, 141–48. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2386-6_19.

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"aerial photography." In Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik, 23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41714-6_10804.

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"infrared aerial photography." In Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik, 729. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41714-6_90885.

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"aerial infrared photography." In Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik, 21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41714-6_10770.

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"Lenses for Aerial Photography." In Optical Science and Engineering, 333–41. CRC Press, 2006. http://dx.doi.org/10.1201/9780849382796.ch30.

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"colour aerial photography (Brit.)." In Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik, 253. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41714-6_33255.

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"Geology, Soils, and Engineering Applications." In Aerial Photography and Image Interpretation, 327–52. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118110997.ch17.

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"hazard assessment based on aerial photography." In Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik, 664. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41714-6_80367.

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Shmelova, Tetiana, Vitalii Lazorenko, and Oleksandr Burlaka. "Unmanned Aerial Vehicles for Smart Cities." In Methods and Applications of Geospatial Technology in Sustainable Urbanism, 444–77. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2249-3.ch015.

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In this chapter, the authors are presenting opportunities for the use of unmanned aerial vehicles (UAV) in town. Methods for the optimization of flight routes of UAVs in the dependence of target tasks in the city are presented, for example, area monitoring; search and rescue operations; retransmission of communication (in places, where the antenna coverage cannot be set due to terrain specifications); organization of logistics as the safe, cheap, and fast transportation method of goods; for aerial photography, for controlling traffic; for the provision of the first aid to people in emergencies; unmanned taxi. It is done using air navigation information and mathematical methods. Authors suggest dynamic programming methods, GRID analyses, expert judgment method, and fuzzy-logic methods for estimation of risk/safety of flights in the city. Optimization of flows and flexible redistribution of UAV routes in multilevel airspace is provided according to air navigation requirements and standards.
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Conference papers on the topic "Aerial photography in traffic engineering"

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Tiziani, Hans J. "Measurement of image disturbance in aerial photography." In 8th Meeting in Israel on Optical Engineering, edited by Moshe Oron, Itzhak Shladov, and Yitzhak Weissman. SPIE, 1993. http://dx.doi.org/10.1117/12.150990.

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Murray, John C., Nark J. Neal, and Frederic Labrosse. "Intelligent Kite Aerial Platform for Site Photography." In 2007 IEEE International Conference on Automation Science and Engineering. IEEE, 2007. http://dx.doi.org/10.1109/coase.2007.4341813.

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Pacina, J., J. Popelka, and M. Tobisch. "Extinct settlement identification using small format aerial photography – methods and accuracy." In The 2nd International Conference on Engineering Sciences and Technologies. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315393827-137.

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Elgaali, Elgaali. "Use of aerial photography and GIS in estimating urban lawn irrigation requirements." In 2018 Advances in Science and Engineering Technology International Conferences (ASET). IEEE, 2018. http://dx.doi.org/10.1109/icaset.2018.8376775.

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Broto, Prasepvianto Estu, Adhi Harmoko Saputro, and Dony Kushardono. "Prediction of paddy field area base on aerial photography using multispectral camera." In 2017 International Conference on Sustainable Information Engineering and Technology (SIET). IEEE, 2017. http://dx.doi.org/10.1109/siet.2017.8304176.

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Loveland, Rohan C., and Edward Rosten. "Acquisition and registration of aerial video imagery of urban traffic." In Optical Engineering + Applications, edited by Andrew G. Tescher. SPIE, 2008. http://dx.doi.org/10.1117/12.796785.

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Zhang, Yuheng, Xiaoxiang Yuan, Jusheng Tong, Yongfei Liu, and Yu Shi. "A Method of Intersection Traffic Volume Statistics Using Aerial Video." In Fifth International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479384.217.

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Shvetsov, A. V. "Non-Volatile Traffic Control of Cargo Unmanned Aerial Vehicles." In 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). IEEE, 2020. http://dx.doi.org/10.1109/fareastcon50210.2020.9271380.

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Bauman, Paul C., Dan Parker, Avner Goren, Richard Freund, and Phillip Reeder. "Archaeological Reconnaissance at Tel Yavne, Israel: 2‐D Electrical Imaging and Low Altitude Aerial Photography." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2005. Environment and Engineering Geophysical Society, 2005. http://dx.doi.org/10.4133/1.2923532.

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Bauman, Paul C., Dan Parker, Avner Goren, Richard Freund, and Phillip Reeder. "Archaeological Reconnaissance at Tel Yavne, Israel: 2‐D Electrical Imaging and Low Altitude Aerial Photography." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2004. Environment and Engineering Geophysical Society, 2004. http://dx.doi.org/10.4133/1.2923308.

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