Relevant bibliographies by topics / Remote detection

Contents

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

Academic literature on the topic 'Remote detection'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 March 2023

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Journal articles on the topic "Remote detection"

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Wei Huang, Wei Huang, Jianyong Ma Jianyong Ma, Feng Zhu Feng Zhu, Jin Wang Jin Wang, and Changhe Zhou Changhe Zhou. "Low divergent diffractive optical element for remote detection." Chinese Optics Letters 12, no. 7 (2014): 070501–70503. http://dx.doi.org/10.3788/col201412.070501.

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Xie, Jing, Erik Stensrud, and Torbjørn Skramstad. "Detection-Based Object Tracking Applied to Remote Ship Inspection." Sensors 21, no. 3 (2021): 761. http://dx.doi.org/10.3390/s21030761.

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We propose a detection-based tracking system for automatically processing maritime ship inspection videos and predicting suspicious areas where cracks may exist. This system consists of two stages. Stage one uses a state-of-the-art object detection model, i.e., RetinaNet, which is customized with certain modifications and the optimal anchor setting for detecting cracks in the ship inspection images/videos. Stage two is an enhanced tracking system including two key components. The first component is a state-of-the-art tracker, namely, Channel and Spatial Reliability Tracker (CSRT), with improve
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Shin, Su-Jin, Seyeob Kim, Youngjung Kim, and Sungho Kim. "Hierarchical Multi-Label Object Detection Framework for Remote Sensing Images." Remote Sensing 12, no. 17 (2020): 2734. http://dx.doi.org/10.3390/rs12172734.

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Detecting objects such as aircraft and ships is a fundamental research area in remote sensing analytics. Owing to the prosperity and development of CNNs, many previous methodologies have been proposed for object detection within remote sensing images. Despite the advance, using the object detection datasets with a more complex structure, i.e., datasets with hierarchically multi-labeled objects, is limited to the existing detection models. Especially in remote sensing images, since objects are obtained from bird’s-eye view, the objects are captured with restricted visual features and not always
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Blackmon, Fletcher A., and Lynn T. Antonelli. "Remote voice detection system." Journal of the Acoustical Society of America 127, no. 2 (2010): 1175. http://dx.doi.org/10.1121/1.3326912.

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Xu, Danqing, and Yiquan Wu. "Improved YOLO-V3 with DenseNet for Multi-Scale Remote Sensing Target Detection." Sensors 20, no. 15 (2020): 4276. http://dx.doi.org/10.3390/s20154276.

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Remote sensing targets have different dimensions, and they have the characteristics of dense distribution and a complex background. This makes remote sensing target detection difficult. With the aim at detecting remote sensing targets at different scales, a new You Only Look Once (YOLO)-V3-based model was proposed. YOLO-V3 is a new version of YOLO. Aiming at the defect of poor performance of YOLO-V3 in detecting remote sensing targets, we adopted DenseNet (Densely Connected Network) to enhance feature extraction capability. Moreover, the detection scales were increased to four based on the ori
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Ma, Ying Zhao, Wei Li Jiao, and Wang Wei. "Cloud Detection in Landsat5 Images Based on Template Gradient." Advanced Materials Research 271-273 (July 2011): 205–10. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.205.

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Cloud is an important factor affect the quality of optical remote sensing image. How to automatically detect the cloud cover of an image, reduce of useless data transmission, make great significance of higher data rate usefulness. This paper represent a method based on Lansat5 data, which can automatically mark the location of clouds region in each image, and effective calculated for each cloud cover, remove useless remote sensing images.
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Mohanad, Abdulhamid, and Peter Deng. "REMOTE HEALTH MONITORING: FALL DETECTION." TECHNICAL SCIENCES AND TECHNOLOGIES, no. 1(19) (2020): 199–205. http://dx.doi.org/10.25140/2411-5363-2020-1(19)-199-205.

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Urgency of the research. Falling is a serious health issue among the elderly population; it can result in critical injuries like hip fractures. Immobilization caused by injury or unconsciousness means that the victim cannot summon help themselves. Target setting. The target of this paper is to design and create a fall detection system. The system consists of a monitoring device that links wirelessly with a laptop. The device is able to accurately distinguish between fall and non-fall. Actual scientific researches and issues analysis. Healthcare systems in the world have undergone tremendous ev
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Rock, B. N., J. E. Vogelmann, D. L. Williams, A. F. Vogelmann, and T. Hoshizaki. "Remote Detection of Forest Damage." BioScience 36, no. 7 (1986): 439–45. http://dx.doi.org/10.2307/1310339.

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Dominici, Donatella, and Sara Zollini. "Remote Sensing in Coastline Detection." Journal of Marine Science and Engineering 8, no. 7 (2020): 498. http://dx.doi.org/10.3390/jmse8070498.

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UNUMA, MUNETOSHI. "A Remote Behaviour Detection System." Journal of the Institute of Electrical Engineers of Japan 119, no. 4 (1999): 228–31. http://dx.doi.org/10.1541/ieejjournal.119.228.

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Dissertations / Theses on the topic "Remote detection"

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Payne, Timothy Myles. "Remote detection using fused data /." Title page, abstract and table of contents only, 1994. http://web4.library.adelaide.edu.au/theses/09PH/09php3465.pdf.

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Erickson, Anna S. "Remote detection of fissile material : Cherenkov counters for gamma detection." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/76496.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 161-167).<br>The need for large-size detectors for long-range active interrogation (Al) detection has generated interest in water-based detector technologies. AI is done using external radiation sources to induce fission and to detect, identify, and characterize special nuclear material (SNM) through the gamma rays and neutrons emitted. Long-range applications require detectors with a large solid angle and an
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Cisz, Adam. "Performance comparison of hyperspectral target detection algorithms /." Online version of thesis, 2006. https://ritdml.rit.edu/dspace/handle/1850/3020.

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Southgate, Matthew James. "Remote detection of concealed guns and explosives." Thesis, Manchester Metropolitan University, 2013. http://e-space.mmu.ac.uk/314043/.

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A reliable method of remotely detecting concealed guns and explosives attached to the human body is of great interest to governments and security forces throughout the world. This thesis describes the development and trials of a new remote non-imaging concealed threat detection method using active millimetre wave radar using the microwave and mmwave frequencies bands 14 – 40 and 75 – 110 GHz (Ku, K, Ka and W). The method is capable of not only screening for concealed objects, like the current generation of concealed object detectors, but also of differentiating between mundane and threat objec
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Baker, Ian Scott. "The electrophysiological processing of remote staring detection." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/19085.

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This thesis represents the first piece of research to examine the potential electrocortical processing associated with remote staring detection and its potential relationship to face perception in general. Three experiments were conducted using several different measures of electrocortical activity (Event-Related Potentials, Global Field Power, Frequency, etc), skin conductance, and questionnaire data. 20 participants for each experiment were isolated, and an automated, double-blind, randomised and counterbalanced protocol was employed. The first experiment found that the addition of a remote
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Akar, Sertac. "Offshore Oil Slick Detection With Remote Sensing Techniques." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608889/index.pdf.

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The aim of this thesis is to develop a methodology for detection of naturally occurring offshore oil slicks originating from hydrocarbon seeps using satellite remote sensing techniques. In this scope, Synthetic Aperture Radar (SAR) imagery has been utilized. Case study area was Andrusov High in the Central Black Sea. Hydrocarbon seepage from tectonic or stratigraphic origin at the sea floor causes oily gas plumes to rise up to the sea surface. They form thin oil films on the sea surface called oil slicks. Presence of seeps and surface oil slicks for the offshore basins is a trace of depleted o
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Wistrand, Markus. "Hidden Markov models for remote protein homology detection /." Stockholm, 2005. http://diss.kib.ki.se/2006/91-7140-598-4/.

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Daniels, Noah Manus. "Remote Homology Detection in Proteins Using Graphical Models." Thesis, Tufts University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3563611.

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<p> Given the amino acid sequence of a protein, researchers often infer its structure and function by finding homologous, or evolutionarily-related, proteins of known structure and function. Since structure is typically more conserved than sequence over long evolutionary distances, recognizing remote protein homologs from their sequence poses a challenge. </p><p> We first consider all proteins of known three-dimensional structure, and explore how they cluster according to different levels of homology. An automatic computational method reasonably approximates a human-curated hiera
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McCabe, Ailie Fiona. "Remote detection using surface enhanced resonance Raman scattering." Thesis, University of Strathclyde, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.401340.

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Drum, S. M. "The remote detection of gases using coherence measurement." Thesis, University of Southampton, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293132.

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Books on the topic "Remote detection"

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Mishchenko, Michael I., Yaroslav S. Yatskiv, Vera K. Rosenbush, and Gorden Videen, eds. Polarimetric Detection, Characterization and Remote Sensing. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1636-0.

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Mishchenko, Michael I. Polarimetric detection, characterization, and remote sensing. Springer, 2011.

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Steven, Legowik, Nashman Marilyn, and National Institute of Standards and Technology (U.S.), eds. Obstacle detection and mapping system. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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Environmental Monitoring Systems Laboratory (Las Vegas, Nev.), ed. Wetlands detection methods investigation: Project summary. U.S. Environmental Protection Agency, Environmental Monitoring Systems Laboratory, 1991.

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Manfred, Owe, Neale Christopher, International Association of Hydrological Sciences. International Commission on Remote Sensing., International Union of Geodesy and Geophysics. General Assembly, and Symposium on Remote Sensing for Environmental Monitoring and Change Detection (2007 : Perugia, Italy), eds. Remote sensing for environmental monitoring and change detection. International Association of Hydrological Sciences, 2007.

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Cem, Ünsalan, and SpringerLink (Online service), eds. Two-Dimensional Change Detection Methods: Remote Sensing Applications. Springer London, 2012.

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Bohne, Alan R. In-flight turbulence detection. Atmospheric Sciences Division, Air Force Geophysics Laboratory, 1985.

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Bohne, Alan R. In-flight turbulence detection. Atmospheric Sciences Division, Air Force Geophysics Laboratory, 1985.

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Bohne, Alan R. In-flight turbulence detection. Atmospheric Sciences Division, Air Force Geophysics Laboratory, 1985.

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R, Bohne Alan. In-flight turbulence detection. Atmospheric Sciences Division, Air Force Geophysics Laboratory, 1985.

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Book chapters on the topic "Remote detection"

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Dekker, Rob, Claudia Kuenzer, Manfred Lehner, et al. "Change Detection Tools." In Remote Sensing from Space. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-8484-3_9.

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Ban, Yifang, and Osama Yousif. "Change Detection Techniques: A Review." In Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_2.

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Bruzzone, Lorenzo, Sicong Liu, Francesca Bovolo, and Peijun Du. "Change Detection in Multitemporal Hyperspectral Images." In Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_4.

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Topouzelis, Konstantinos, Dario Tarchi, Michele Vespe, Monica Posada, Oliver Muellenhoff, and Guido Ferraro. "Detection, Tracking, and Remote Sensing." In Handbook of Oil Spill Science and Technology. John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118989982.ch13.

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Friedman, Avner. "Sunglitter in oceanic remote detection." In Mathematics in Industrial Problems. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4613-8383-3_10.

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Mercier, Grégoire, and Florence Tupin. "Analysis of Multi-Temporal Series and Change Detection." In Remote Sensing Imagery. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118899106.ch8.

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Levelt, Pieternel F., J. P. Veefkind, and K. F. Boersma. "Trace Gases, Troposphere - Detection from Space." In Encyclopedia of Remote Sensing. Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_182.

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Gamba, Paolo, and Fabio Dell’Acqua. "Change Detection in Urban Areas: Spatial and Temporal Scales." In Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_3.

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Kolokolova, Ludmilla, William Sparks, and Daniel Mackowski. "Astrobiological remote sensing with circular polarization." In Polarimetric Detection, Characterization and Remote Sensing. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1636-0_11.

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Rösel, Anja. "Optical Remote Sensing." In Detection of Melt Ponds on Arctic Sea Ice with Optical Satellite Data. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37033-5_3.

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Conference papers on the topic "Remote detection"

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Pilžis, Kristina, and Vaidotas Vaišis. "OIL SPILL DETECTION WITH REMOTE SENSORS." In Conference for Junior Researchers „Science – Future of Lithuania“. VGTU Technika, 2016. http://dx.doi.org/10.3846/aainz.2016.20.

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Accurate detection and forecasting of oil spills and their trajectories is beneficial for monitoring and conservation of the marine environment. The most common techniques of oil spill tracking are remote sensing from an aircraft and satellites. Remote sensors work by detecting sea surface properties and the most effective of them are laser fluorosensors, optical remote sensing (visible, infrared, ultraviolet) and microwave sensors. Possibilities and advantages of their use are reviewed in this article.
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van der Laan, Jan E., Arne Rosengreen, and L. L. Altpeter. "Remote and Selective Detection of Natural Gas Leaks Using a Frequency Mixed CO2 Laser." In Optical Remote Sensing. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/ors.1985.wc27.

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Improved detection of natural gas leaks is of interest to the gas industry. At present, gas survey trucks sample the air at the street surface. The air is then fed through a flame ionization detector (FID) for the detection of methane that may have leaked from a gas line below the street. This method is relatively slow, because the truck can move only a few miles per hour, and is limited in that it cannot make remote measurements of areas that are inaccessible to the truck. Furthermore, the FID reacts to any hydrocarbon in the air, causing false alarms.
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Edwards, C. L. "Remote intrusion detection - improvements in equipment and detection methods." In European Convention on Security and Detection. IEE, 1995. http://dx.doi.org/10.1049/cp:19950493.

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Luik, Armin, and Kristian Kroschel. "Laser-based remote measurement of vital parameters of the heart." In Optical Sensing and Detection, edited by Francis Berghmans and Anna G. Mignani. SPIE, 2018. http://dx.doi.org/10.1117/12.2303807.

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Bishop, Paul K., Graeme N. Crisp, and Malcolm I. Smith. "Remote minefield detection system." In AeroSense '99, edited by Abinash C. Dubey, James F. Harvey, J. Thomas Broach, and Regina E. Dugan. SPIE, 1999. http://dx.doi.org/10.1117/12.356992.

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Li, Ying, Yujing Guan, Huaiguo Zhang, and Y. C. Liang. "Protein remote homology detection." In 2010 Sixth International Conference on Natural Computation (ICNC). IEEE, 2010. http://dx.doi.org/10.1109/icnc.2010.5583129.

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Soares, Fernando, and Giovanni Nico. "Fringe detection in SAR interferograms." In Remote Sensing, edited by Lorenzo Bruzzone. SPIE, 2010. http://dx.doi.org/10.1117/12.864581.

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Hoegemann, Claudia K., Jose M. Delgado, Jesus J. Fuensalida, Elvio Hernandez, Angeles Rodriguez, and Manuel Verde. "Hybrid instrument for turbulence detection: wavefront sensing and scintillation detection in a fully automatic device." In Remote Sensing, edited by John D. Gonglewski and Karin Stein. SPIE, 2004. http://dx.doi.org/10.1117/12.565555.

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Rosin, Paul L. "Parcel-based change detection." In Satellite Remote Sensing, edited by Jacky Desachy. SPIE, 1994. http://dx.doi.org/10.1117/12.196727.

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Salberg, Arnt B., Siri O. Larsen, and Maciel Zortea. "Multisource oil spill detection." In SPIE Remote Sensing, edited by Lorenzo Bruzzone. SPIE, 2013. http://dx.doi.org/10.1117/12.2029208.

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Reports on the topic "Remote detection"

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Clegg, Samuel M., Kristy Lynne Nowak-Lovato, Julianna E. Fessenden-Rahn, Stephen J. Obrey, and Robert P. Currier. Remote Detection of NO2 Stable Isotopes. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1053541.

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Pipino, Andrew C. R. Novel Miniature Spectrometer for Remote Chemical Detection. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/829898.

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Pipino, Andrew C. R. Novel Miniature Spectrometer For Remote Chemical Detection. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/829899.

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Sheen, David M. Frequency Modulation Spectroscopy Modeling for Remote Chemical Detection. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/1023146.

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Sabol, D., P. Buck, and A. Gillespie. Direct Detection of Archaeological Sites Using Remote Sensing. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada606919.

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Voinier, C., C. H. Skinner, and A. L. Roquemore. Advances in Electrostatic Dust Detection on Remote Surfaces. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/836832.

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GEO-CENTERS INC NEWTON CENTRE MA. Remote Detection of Unexploded Ordnance-Ground Penetrating Radar. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada253486.

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ENVIRONMENTAL SECURITY TECH CERT PROG. Assessment of the Remote Minefield Detection System (REMIDS). Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada631321.

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Narasi Sridhar, Garth Tormoen, and Ashok Sabata. REMOTE DETECTION OF INTERNAL PIPELINE CORROSION USING FLUIDIZED SENSORS. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/881079.

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Hess, Henry. A Biomolecular Motor-Powered Biosensor for Remote Detection Scenarios. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada451166.

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