Academic literature on the topic 'UAV remote sensing'

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Journal articles on the topic "UAV remote sensing"

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Ma, Guangdi, and Weichen Yang. "Dynamic reconstruction method of unmanned aerial vehicle aerial remote sensing image based on compressed sensing." Journal of Geography and Cartography 5, no. 1 (2021): 17. http://dx.doi.org/10.24294/jgc.v5i1.1413.

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Aiming at the current problems of poor dynamic reconstruction of UAV aerial remote sensing images and low image clarity, the dynamic reconstruction method of UAV aerial remote sensing images based on compression perception is proposed. Construct a quality reduction model for UAV aerial remote sensing images, obtain image feature information, and further noise reduction preprocessing of UAV aerial remote sensing images to better improve the resolution, spectral and multi-temporal trends of UAV aerial remote sensing images, and effectively solve the problems of resource waste such as large amoun
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Wang, Jia Feng, Xi Min Cui, De Bao Yuan, Jing Jing Jin, Ya Hui Qiu, and Huan Liu. "Segmenting Algorithm and Publishing Based on UVA Image." Applied Mechanics and Materials 195-196 (August 2012): 594–98. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.594.

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With the continuous development of UAV remote sensing technology, UAV remote sensing will become one of the main airborne remote sensing platforms, Image acquisition and its post-processing of the UAV remote sensing have become focus of todays study. This paper presents an idea of image segmentation and image publication of UAV remote sensing, and provides reliable information for decision makers. It possesses a certain value.
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Lyu, Xin, Xiaobing Li, Dongliang Dang, Huashun Dou, Kai Wang, and Anru Lou. "Unmanned Aerial Vehicle (UAV) Remote Sensing in Grassland Ecosystem Monitoring: A Systematic Review." Remote Sensing 14, no. 5 (2022): 1096. http://dx.doi.org/10.3390/rs14051096.

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In recent years, the application of unmanned aerial vehicle (UAV) remote sensing in grassland ecosystem monitoring has increased, and the application directions have diversified. However, there have been few research reviews specifically for grassland ecosystems at present. Therefore, it is necessary to systematically and comprehensively summarize the application of UAV remote sensing in grassland ecosystem monitoring. In this paper, we first analyzed the application trend of UAV remote sensing in grassland ecosystem monitoring and introduced common UAV platforms and remote sensing sensors. Th
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Yin, Ninghao, Ruian Liu, Beibei Zeng, and Nan Liu. "A review: UAV-based Remote Sensing." IOP Conference Series: Materials Science and Engineering 490 (April 12, 2019): 062014. http://dx.doi.org/10.1088/1757-899x/490/6/062014.

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Luo, Xin, Guangling Lai, Xiao Wang, et al. "UAV Remote Sensing Image Automatic Registration Based on Deep Residual Features." Remote Sensing 13, no. 18 (2021): 3605. http://dx.doi.org/10.3390/rs13183605.

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With the rapid development of unmanned aerial vehicle (UAV) technology, UAV remote sensing images are increasing sharply. However, due to the limitation of the perspective of UAV remote sensing, the UAV images obtained from different viewpoints of a same scene need to be stitched together for further applications. Therefore, an automatic registration method of UAV remote sensing images based on deep residual features is proposed in this work. It needs no additional training and does not depend on image features, such as points, lines and shapes, or on specific image contents. This registration
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Wu, Yiguang, Meizhen Wang, Xuejun Liu, et al. "Monitoring the Work Cycles of Earthmoving Excavators in Earthmoving Projects Using UAV Remote Sensing." Remote Sensing 13, no. 19 (2021): 3853. http://dx.doi.org/10.3390/rs13193853.

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Monitoring the work cycles of earthmoving excavators is an important aspect of construction productivity assessment. Currently, the most advanced method for the recognition of work cycles is the “Stretching-Bending” Sequential Pattern (SBSP), which is based on fixed-carrier video monitoring (FC-SBSP). However, the application of this method presupposes the availability of preconstructed installation carriers to act as a surveillance camera as well as installed and commissioned surveillance systems that work in tandem with them. Obviously, this method is difficult to apply to projects with no c
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Mesas-Carrascosa, Francisco Javier. "UAS-Remote Sensing Methods for Mapping, Monitoring and Modeling Crops." Remote Sensing 12, no. 23 (2020): 3873. http://dx.doi.org/10.3390/rs12233873.

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The advances in Unmanned Aerial Vehicle (UAV) platforms and on-board sensors in the past few years have greatly increased our ability to monitor and map crops. The ability to register images at ultra-high spatial resolution at any moment has made remote sensing techniques increasingly useful in crop management. These technologies have revolutionized the way in which remote sensing is applied in precision agriculture, allowing for decision-making in a matter of days instead of weeks. However, it is still necessary to continue research to improve and maximize the potential of UAV remote sensing
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Lei, T. J., R. R. Xu, J. H. Cheng, et al. "A NEW METHOD OF FAST REGISTRATION OF UNMANNED AERIAL VEHICLE REMOTE SENSING IMAGES BASED-ON AN IMPROVED SURF ALGORITHM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 471–78. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-471-2020.

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Abstract. Remote sensing system fitted on UAV (Unmanned Aerial Vehicle) can obtain clear images and high-resolution aerial photographs. It has advantages of flexibility, convenience and ability to work full-time. However, there are some problems of UAV image such as small coverage area, large number, irregular overlap, etc. How to obtain a large regional map quickly becomes a major obstacle to UAV remote sensing application. In this paper, a new method of fast registration of UAV remote sensing images was proposed to meet the needs of practical application. This paper used Progressive Sample C
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Zhao, Ling Li, Shuai Liu, and Li Ma. "Data Acquisition Considering of Fixed-Wing UAVs in Mountainous Areas." Applied Mechanics and Materials 543-547 (March 2014): 2151–54. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2151.

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Over the past decade, there has been a great demand of Unmanned Aerial Vehicles (UAVs) in numerous industrial and military operations around the world. This paper is focused on low fixed-wing UAV remote sensing system, put remote sensing technology and UAV technology closely to fixed-wing unmanned aircraft as a platform, which is equipped with high-resolution digital remote sensing sensors, it has easy transition since the airport does not depend on landing site, it is a new low-speed high-resolution remote sensing data acquisition system. It has capability of a survey of real-time quick monit
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Boesch, R. "THERMAL REMOTE SENSING WITH UAV-BASED WORKFLOWS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6 (August 23, 2017): 41–46. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w6-41-2017.

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Climate change will have a significant influence on vegetation health and growth. Predictions of higher mean summer temperatures and prolonged summer draughts may pose a threat to agriculture areas and forest canopies. Rising canopy temperatures can be an indicator of plant stress because of the closure of stomata and a decrease in the transpiration rate. <br><br> Thermal cameras are available for decades, but still often used for single image analysis, only in oblique view manner or with visual evaluations of video sequences. <br><br> Therefore remote sensing using a t
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Dissertations / Theses on the topic "UAV remote sensing"

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Miglhorance, Edmar. "Mapping Wild Leek with UAV and Satellite Remote Sensing." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/38865.

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Wild leek (Allium tricoccum) is a spring ephemeral of northeastern North America. In the Canadian province of Quebec, it is listed as threatened due to human harvesting, and in Gatineau Park its presence is used as an indicator of human impact. Wild leek grows in patches on the forest floor, and before the tree canopy develops its green leaves are clearly visible through the bare branches of deciduous forests, allowing it to be observed with optical remote sensing. This study developed and tested a new method for monitoring wild leek across large geographic areas by integrating field observati
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Ng, Jennifer. "Investigation of a low-cost coaxial helicopter testbed for planetary remote sensing." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/228525/1/Jennifer_Ng_Thesis.pdf.

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This project was a step forward in designing and testing a low-cost coaxial UAV with an optical flow sensor. The research is based on the Mars Helicopter Ingenuity used in planetary remote sensing. The thesis investigated how accurately the UAV can maintain altitude using VICON, LIDAR, and the optical flow sensor.
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Tamminga, Aaron. "UAV-based remote sensing of fluvial hydrogeomorphology and aquatic habitat dynamics." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/59328.

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Recent advances in methodological and theoretical approaches in fluvial sciences have given rise to increased interest in riverscape perspectives that embrace environmental variability and spatial relationships. These approaches facilitate interdisciplinary understanding of complex fluvial processes that supports conscientious management of river systems. In this context, this dissertation presents the development and application of novel methods to study fluvial structure and eco-hydrogeomorphic relationships. Specifically, the research addresses three main questions: (1) how can UAV-based re
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Yang, Zheng. "Evolution of UAV-based ultra-high resolution remote sensing for environmental monitoring." Thesis, University of Bristol, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.752725.

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Di, Long. "Cognitive Formation Flight in Multi-Unmanned Aerial Vehicle-Based Personal Remote Sensing Systems." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/985.

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This work introduces a design and implementation of using multiple unmanned aerial vehicles (UAVs) to achieve cooperative formation flight based on the personal remote sensing platforms developed by the author and the colleagues in the Center for Self-Organizing and Intelligent Systems (CSOIS). The main research objective is to simulate the multiple UAV system, design a multi-agent controller to achieve simulated formation flight with formation reconfiguration and real-time controller tuning functions, implement the control system on actual UAV platforms and demonstrate the control strategy an
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Chao, Haiyang. "Cooperative Remote Sensing and Actuation Using Networked Unmanned Vehicles." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/597.

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This dissertation focuses on how to design and employ networked unmanned vehicles for remote sensing and distributed control purposes in the current information-rich world. The target scenarios are environmental or agricultural applications such as river/reservoir surveillance, wind profiling measurement, and monitoring/control of chemical leaks, etc. AggieAir, a small and low-cost unmanned aircraft system, is designed based on the remote sensing requirements from environmental monitoring missions. The state estimation problem and the advanced lateral flight controller design problem are furth
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Furfaro, Roberto. "Radiative transport in plant canopies: Forward and inverse problem for UAV applications." Diss., The University of Arizona, 2004. http://hdl.handle.net/10150/280700.

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This dissertation deals with modeling the radiative regime in vegetation canopies and the possible remote sensing applications derived by solving the forward and inverse canopy transport equation. The aim of the research is to develop a methodology (called "end-to-end problem solution") that, starting from first principles describing the interaction between light and vegetation, constructs, as the final product, a tool that analyzes remote sensing data for precision agriculture (ripeness prediction). The procedure begins by defining the equations that describe the transport of photons inside t
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Whitehurst, Daniel Scott. "Techniques for Processing Airborne Imagery for Multimodal Crop Health Monitoring and Early Insect Detection." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/73048.

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During their growth, crops may experience a variety of health issues, which often lead to a reduction in crop yield. In order to avoid financial loss and sustain crop survival, it is imperative for farmers to detect and treat crop health issues. Interest in the use of unmanned aerial vehicles (UAVs) for precision agriculture has continued to grow as the cost of these platforms and sensing payloads has decreased. The increase in availability of this technology may enable farmers to scout their fields and react to issues more quickly and inexpensively than current satellite and other airborne me
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ioannidis, ioannis. "Unmanned Aerial Vehicles and remote sensing in search and rescue missions in Sweden." Thesis, KTH, Fastigheter och byggande, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-266775.

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This paper gives a thοrοugh lοοk in the use οf Unmanned Aerial Vehicles (UAV) in search and rescue missiοns. The οbjective is tο identify, thrοugh a literature review, all types οf UAV, the available remοte sensοrs that can be mοunted in a UAV and what type οf data each sensοr prοvides, the methοdοlοgy οn flight planning and what is the regulatοry framewοrk, guidelines and limitatiοns, οf UAV flight in sοme οf the biggest cοuntries wοrldwide and in specific fοr the Eurοpean Uniοn and Sweden. Alsο, a brief research in the field οf machine learning was dοne in οrder tο identify the pοssibilities
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Scott, Kevon K. "Occlusion-Aware Sensing and Coverage in Unmanned Aerial Vehicle (UAV) Networks." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479816954496473.

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Books on the topic "UAV remote sensing"

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UAV‐Based Remote Sensing. MDPI, 2018. http://dx.doi.org/10.3390/books978-3-03842-778-0.

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UAV‐Based Remote Sensing. MDPI, 2018. http://dx.doi.org/10.3390/books978-3-03842-856-5.

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UAV Photogrammetry and Remote Sensing. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-1453-6.

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UAV or Drones for Remote Sensing Applications. MDPI, 2018. http://dx.doi.org/10.3390/books978-3-03897-092-7.

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UAV or Drones for Remote Sensing Applications. MDPI, 2018. http://dx.doi.org/10.3390/books978-3-03897-112-2.

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Matese, Alessandro, Wenting Han, Peng Fu, Huihui Zhang, Jianfeng Zhou, and Frédéric Cointault, eds. UAV Remote Sensing for Plant Traits and Stress. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88976-333-7.

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Matese, Alessandro, Wenting Han, Peng Fu, Huihui Zhang, Jianfeng Zhou, and Frédéric Cointault, eds. UAV Remote Sensing for Plant Traits and Stress. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88976-333-7.

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Liu, ChengXiang. Theory and Practice of UAV Remote Sensing Monitoring: ???????????? LONGMAN PRESS LTD, 2022.

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Colpaert, Alfred, ed. Satellite and UAV Platforms, Remote Sensing for Geographic Information Systems. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-5362-7.

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Grant, Barbara G. Getting Started with UAV Imaging Systems: A Radiometric Guide. SPIE, 2016.

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Book chapters on the topic "UAV remote sensing"

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Wu, Hui, and Jun Chen. "UAV Remote Sensing Image Stitching." In Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32456-8_38.

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Vasterling, Margarete, and Uwe Meyer. "Challenges and Opportunities for UAV-Borne Thermal Imaging." In Thermal Infrared Remote Sensing. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6639-6_4.

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Proctor, Cameron. "Building a UAV-Hyperspectral System I." In High Spatial Resolution Remote Sensing. CRC Press, 2018. http://dx.doi.org/10.1201/9780429470196-2.

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Proctor, Cameron. "Building a UAV-Hyperspectral System II." In High Spatial Resolution Remote Sensing. CRC Press, 2018. http://dx.doi.org/10.1201/9780429470196-3.

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Lu, Bing, and Yuhong He. "UAV-Based Multispectral Images for Investigating Grassland Biophysical and Biochemical Properties." In High Spatial Resolution Remote Sensing. CRC Press, 2018. http://dx.doi.org/10.1201/9780429470196-12.

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Yan, Lei, Zhiyang Gou, and Yini Duan. "A UAV Remote Sensing System: Design and Tests." In Geospatial Technology for Earth Observation. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0050-0_2.

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Obanawa, Hiroyuki, and Hideaki Shibata. "Applications of UAV Remote Sensing to Topographic and Vegetation Surveys." In Unmanned Aerial Vehicle: Applications in Agriculture and Environment. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27157-2_10.

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Oldeland, J., A. Große-Stoltenberg, L. Naftal, and B. J. Strohbach. "The Potential of UAV Derived Image Features for Discriminating Savannah Tree Species." In The Roles of Remote Sensing in Nature Conservation. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64332-8_10.

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Miraki, Mojdeh, and Zahra Azizi. "Urban Forest Tree Classification Using UAV-Based High-Resolution Imagery." In Research Developments in Geotechnics, Geo-Informatics and Remote Sensing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-72896-0_83.

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Sanders, Abigail. "Mapping the Distribution of Understorey Rhododendron Ponticum Using Low-Tech Multispectral UAV Derived Imagery." In The Roles of Remote Sensing in Nature Conservation. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64332-8_9.

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Conference papers on the topic "UAV remote sensing"

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Saur, Günter, and Wolfgang Krüger. "Short-term change detection for UAV video." In SPIE Remote Sensing, edited by Lorenzo Bruzzone. SPIE, 2012. http://dx.doi.org/10.1117/12.975156.

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Van Achteren, T., B. Delauré, J. Everaerts, D. Beghuin, and R. Ligot. "MEDUSA: an ultra-lightweight multi-spectral camera for a HALE UAV." In Remote Sensing, edited by Roland Meynart, Steven P. Neeck, Haruhisa Shimoda, and Shahid Habib. SPIE, 2007. http://dx.doi.org/10.1117/12.737718.

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Honda, Yhosiaki, Koji Kajiwara, Ram Sharma, et al. "Land validation for GCOM-C1/SGLI using UAV." In SPIE Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2012. http://dx.doi.org/10.1117/12.975802.

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Nikolakopoulos, Konstantinos G., Ioannis Koukouvelas, NIkolaos Argyropoulos, and Vasileios Megalooikonomou. "Quarry monitoring using GPS measurements and UAV photogrammetry." In SPIE Remote Sensing, edited by Ulrich Michel, Karsten Schulz, Manfred Ehlers, Konstantinos G. Nikolakopoulos, and Daniel Civco. SPIE, 2015. http://dx.doi.org/10.1117/12.2195402.

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Pölönen, I., H. H. Puupponen, E. Honkavaara, et al. "UAV-based hyperspectral monitoring of small freshwater area." In SPIE Remote Sensing, edited by Christopher M. U. Neale and Antonino Maltese. SPIE, 2014. http://dx.doi.org/10.1117/12.2067422.

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Park, Jin-Ki, Amrita Das, and Jong-Hwa Park. "Application of agricultural subsidy inspection using UAV image." In SPIE Remote Sensing, edited by Christopher M. U. Neale and Antonino Maltese. SPIE, 2016. http://dx.doi.org/10.1117/12.2241324.

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Saari, Heikki, Ilkka Pölönen, Heikki Salo, et al. "Miniaturized hyperspectral imager calibration and UAV flight campaigns." In SPIE Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2013. http://dx.doi.org/10.1117/12.2028972.

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Antonio, Pedro, Davide Caputo, Alessandro Gandelli, Francesco Grimaccia, and Marco Mussetta. "Architecture and methods for UAV-based heterogeneous sensor network applications." In SPIE Remote Sensing, edited by Charles R. Bostater, Stelios P. Mertikas, Xavier Neyt, Caroline Nichol, Dave Cowley, and Jean-Paul Bruyant. SPIE, 2012. http://dx.doi.org/10.1117/12.970569.

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Wen, Qi, Haixia He, Xufeng Wang, et al. "UAV remote sensing hazard assessment in Zhouqu debris flow disaster." In SPIE Remote Sensing. SPIE, 2011. http://dx.doi.org/10.1117/12.898019.

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Grant, Michael, Stephen Katzberg, and Roland Lawrence. "GPS Remote Sensing Measurements Using Aerosonde UAV." In Infotech@Aerospace. American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-7005.

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Reports on the topic "UAV remote sensing"

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Suir, Glenn, Christina Saltus, Charles Sasser, et al. Evaluating drone truthing as an alternative to ground truthing : an example with wetland plant identification. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42201.

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Satellite remote sensing of wetlands provides many advantages to traditional monitoring and mapping methods. However, remote sensing often remains reliant on labor- and resource- intensive ground truth data for wetland vegetation identification through image classification training and accuracy assessments. Therefore, this study sought to evaluate the use of unmanned aircraft system (UAS) data as an alternative or supplement to traditional ground truthing techniques in support of remote sensing for identifying and mapping wetland vegetation.
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Suir, Glenn, Christina Saltus, Charles Sasser, et al. Evaluating drone truthing as an alternative to ground truthing : an example with wetland plant identification. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42201.

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Satellite remote sensing of wetlands provides many advantages to traditional monitoring and mapping methods. However, remote sensing often remains reliant on labor- and resource- intensive ground truth data for wetland vegetation identification through image classification training and accuracy assessments. Therefore, this study sought to evaluate the use of unmanned aircraft system (UAS) data as an alternative or supplement to traditional ground truthing techniques in support of remote sensing for identifying and mapping wetland vegetation.
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Huntley, D., D. Rotheram-Clarke, R. Cocking, J. Joseph, and P. Bobrowsky. Current research on slow-moving landslides in the Thompson River valley, British Columbia (IMOU 5170 annual report). Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331175.

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Interdepartmental Memorandum of Understanding (IMOU) 5170 between Natural Resources Canada (NRCAN), the Geological Survey of Canada (GSC) and Transport Canada Innovation Centre (TC-IC) aims to gain new insight into slow-moving landslides, and the influence of climate change, through testing conventional and emerging monitoring technologies. IMOU 5107 focuses on strategically important sections of the national railway network in the Thompson River valley, British Columbia (BC), and the Assiniboine River valley along the borders of Manitoba (MN) and Saskatchewan (SK). Results of this research ar
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Bodie, Mark, Michael Parker, Alexander Stott, and Bruce Elder. Snow-covered obstacles’ effect on vehicle mobility. Engineer Research and Development Center (U.S.), 2020. http://dx.doi.org/10.21079/11681/38839.

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The Mobility in Complex Environments project used unmanned aerial systems (UAS) to identify obstacles and to provide path planning in forward operational locations. The UAS were equipped with remote-sensing devices, such as photogrammetry and lidar, to identify obstacles. The path-planning algorithms incorporated the detected obstacles to then identify the fastest and safest vehicle routes. Future algorithms should incorporate vehicle characteristics as each type of vehicle will perform differently over a given obstacle, resulting in distinctive optimal paths. This study explored the effect of
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