Academic literature on the topic 'Microwave sensing'

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Journal articles on the topic "Microwave sensing"

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Parry, J. T. "Satellite microwave remote sensing." Photogrammetria 40, no. 1 (September 1985): 66–67. http://dx.doi.org/10.1016/0031-8663(85)90048-1.

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Gawarecki, S. J. "Satellite microwave remote sensing." Dynamics of Atmospheres and Oceans 9, no. 3 (August 1985): 316–18. http://dx.doi.org/10.1016/0377-0265(85)90027-2.

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Croom, D. L. "Satellite Microwave Remote Sensing." IEE Proceedings F Communications, Radar and Signal Processing 132, no. 2 (1985): 130. http://dx.doi.org/10.1049/ip-f-1.1985.0030.

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Krohn, M. D. "Satellite microwave remote sensing." Earth-Science Reviews 22, no. 3 (November 1985): 249. http://dx.doi.org/10.1016/0012-8252(85)90072-8.

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Makhnovskiy, Dmitriy, Arkadi Zhukov, V. Zhukova, and J. Gonzalez. "Tunable and Self-Sensing Microwave Composite Materials Incorporating Ferromagnetic Microwires." Advances in Science and Technology 54 (September 2008): 201–10. http://dx.doi.org/10.4028/www.scientific.net/ast.54.201.

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New types of stress sensitive and magnetic field tunable microwave composite materials are discussed where embedded short ferromagnetic microwire inclusions are used as controllable radiative elements. The dc external magnetic field is applied to the whole composite structure. And, the local stress is transferred to the individual microwires through the accommodating composite matrix. The spatial and angular distributions of microwires can be random, partly ordered, or completely ordered. For a wide frequency range, the free-space microwave response of a wire-filled composite can be characterized by a complex effective permittivity with resonance frequency dispersion. The latter depends on the conductive and magnetic properties of the microwire inclusions that contribute to the ac microwire magnetoimpedance (MI). In the vicinity of the so-called antenna resonance frequency, which is defined by the length of microwires and matrix dielectric constant, any variations in the MI of the microwires will result in large changes of the effective permittivity, and hence the reflection and transmission coefficients for an incident microwave. The field or stress dependence of the effective permittivity arises from the corresponding field or stress sensitivity of the MI in the ferromagnetic microwires with induced circumferential or helical magnetic anisotropy, respectively. The strong field tunable effect in the proposed composite materials can be utilized to introduce reconfigurable microwave properties in coatings, absorbers, and randomizers, and also in new media such as microwave metamaterials and bandgap wire structures. A maximum field tunability of 30 dB was achieved for free-space transmission measurements when the external magnetic field changed from zero to ~40 Oe. The stress sensitivity of reflection and transmission coefficients opens up new possibilities for the distant non-destructive testing and evaluation of composite materials both in the laboratory environment and large scale applications. The stress tunability of transmission coefficient may reach up to 5-8 dB within the elastic limit. The reflection coefficient usually demonstrates less tunability in both cases (field and stress dependent) and may require a multilayer structure to achieve better results, but it is always strong enough for the stress sensing applications.
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Tai, Tzu-Chun, Hung-Wei Wu, Cheng-Yuan Hung, and Yeong-Her Wang. "Food Security Sensing System Using a Waveguide Antenna Microwave Imaging through an Example of an Egg." Sensors 20, no. 3 (January 27, 2020): 699. http://dx.doi.org/10.3390/s20030699.

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In this paper, we present a form of food security sensing using a waveguide antenna microwave imaging system through an example of an egg. A waveguide antenna system with a frequency range of 7–13 GHz and a maximum gain of 17.37 dBi was proposed. The maximum scanning area of the waveguide antenna microwave imaging sensing system is 30 × 30 cm2. In order to study the resolution and sensitivity of the waveguide antenna microwave imaging sensing system, the circular and triangular high-k materials (with the same thickness but with different dielectric constants of the materials) were used as the testing sample for observing the microwave images. By using the proposed waveguide antenna microwave imaging sensing system, the high-k materials with different dielectric constants and shapes could be easily sensed. Therefore, the waveguide antenna microwave imaging sensing system could be potentially used for applications in rapid, non-destructive food security sensing. Regarding the example of an egg, the proposed waveguide antenna microwave imaging sensing system could effectively identify the health status of many eggs very quickly. The proposed waveguide antenna microwave imaging sensing system provides a simple, non-destructive, effective, and rapid method for food security applications.
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Opaluch, Oliver Roman, Nimba Oshnik, Richard Nelz, and Elke Neu. "Optimized Planar Microwave Antenna for Nitrogen Vacancy Center Based Sensing Applications." Nanomaterials 11, no. 8 (August 19, 2021): 2108. http://dx.doi.org/10.3390/nano11082108.

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Individual nitrogen vacancy (NV) color centers in diamond are versatile, spin-based quantum sensors. Coherently controlling the spin of NV centers using microwaves in a typical frequency range between 2.5 and 3.5 GHz is necessary for sensing applications. In this work, we present a stripline-based, planar, Ω-shaped microwave antenna that enables one to reliably manipulate NV spins. We found an optimal antenna design using finite integral simulations. We fabricated our antennas on low-cost, transparent glass substrate. We created highly uniform microwave fields in areas of roughly 400 × 400 μm2 while realizing high Rabi frequencies of up to 10 MHz in an ensemble of NV centers.
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Carver, K. R., C. Elachi, and F. T. Ulaby. "Microwave remote sensing from space." Proceedings of the IEEE 73, no. 6 (1985): 970–96. http://dx.doi.org/10.1109/proc.1985.13230.

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Graham, Alastair J. "Introduction to Microwave Remote Sensing." Photogrammetric Record 24, no. 126 (June 2009): 199. http://dx.doi.org/10.1111/j.1477-9730.2009.00531_1.x.

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Zhang, Kunyi, Reza K. Amineh, Ziqian Dong, and David Nadler. "Microwave Sensing of Water Quality." IEEE Access 7 (2019): 69481–93. http://dx.doi.org/10.1109/access.2019.2918996.

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Dissertations / Theses on the topic "Microwave sensing"

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Strawbridge, Fiona. "Passive microwave remote sensing of vegetation." Thesis, University of Bristol, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242948.

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Au, Wai Chung 1966. "Computational electomagnetics in microwave remote sensing." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/11645.

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Sreerekha, T. R. "Impact of clouds on microwave remote sensing." Berlin Logos-Verl, 2005. http://d-nb.info/979728304/34.

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Remund, Quinn P. "Multisensor microwave remote sensing in the cryosphere /." Diss., CLICK HERE for online access, 2000. http://contentdm.lib.byu.edu/ETD/image/etd7.pdf.

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Tian, Xiaoyi. "Microwave Photonic Sensing Based on Optical Microresonators." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/29545.

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Optical microresonators (OMRs) have been widely applied in various sensing applications. However, the sensing performances of conventional OMR-based sensors are subject to resonance parameters and fabrication accuracy and are further restricted by the interrogation scheme used. Recently, microwave photonic (MWP) techniques have been used to realize high-speed and high-resolution OMR-based sensors. So far, those MWP schemes are either still fabrication dependent or only applicable to specific uses, and rare attention has been paid to achieving multi-parameter sensing that is indispensable in real-life applications. The thesis proposes novel OMR-based MWP sensing schemes with improved sensing performances. Based on the MWP sideband processing technique, a new MWP interrogation scheme, which features a high resolution regardless of the OMR parameters and fabrication imperfections, is proposed and demonstrated in the sensing of temperature, humidity, and magnetic field, respectively, with high sensitivity and high resolution, where an automatic correction mechanism is added to compensate for resonance lineshape variation automatically. Next, the high-resolution MWP sensing scheme is extended to cascaded OMRs to enable multi-parameter sensing capability. The simultaneous high-resolution MWP sensing of temperature and humidity with two cascaded OMRs is demonstrated. Lastly, machine learning (ML) and deep learning (DL) techniques are applied to MWP sensing to reduce the complexity further. The temperature-insensitive MWP humidity sensor is first achieved with the support vector regression. Then, a new MWP multi-parameter sensing paradigm with the least requirement on the OMR structure is proposed by incorporating DL to process the raw interrogation results directly. The simultaneous MWP sensing of temperature and humidity with a single optical resonance using the convolutional neural tangent kernel is demonstrated.
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Remund, Quinn P. "Multisensor Microwave Remote Sensing in the Cryosphere." BYU ScholarsArchive, 2003. https://scholarsarchive.byu.edu/etd/72.

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Because the earth's cryosphere influences global weather patterns and climate, the scientific community has had great interest in monitoring this important region. Microwave remote sensing has proven to be a useful tool in estimating sea and glacial ice surface characteristics with both scatterometers and radiometers exhibiting high sensitivity to important ice properties. This dissertation presents an array of studies focused on extracting key surface features from multisensor microwave data sets. First, several enhanced resolution image reconstruction issues are addressed. Among these are the optimization of the scatterometer image reconstruction (SIR) algorithm for NASA scatterometer (NSCAT) data, an analysis of Ku-band azimuthal modulation in Antarctica, and inter-sensor European Remote Sensing Satellite (ERS) calibration. Next, various methods for the removal of atmospheric distortions in image reconstruction of passive radiometer observations are considered. An automated algorithm is proposed which determines the spatial extent of sea ice in the Arctic and Antarctic regions from NSCAT data. A multisensor iterative sea ice statistical classification method which adapts to the temporally varying signatures of ice types is developed. The sea ice extent and classification algorithms are adopted for current SeaWinds scatterometer data sets. Finally, the automated inversion of large-scale forward electromagnetic scattering of models is considered and used to study the temporal evolution of the scattering properties of polar sea ice.
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Xiao, Renmeng. "Passive microwave snow mapping in Quebec." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq29810.pdf.

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English, Stephen James. "Remote sensing of meteorological parameters by microwave radiometry." Thesis, University of Oxford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302777.

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Yu, Guoyu. "Fibre Bragg gratings for microwave photonics and sensing." Thesis, Aston University, 2002. http://publications.aston.ac.uk/7996/.

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This thesis presents details on the fabrication of microwave transversal filters using fibre Bragg grating arrays and the building of fibre Bragg grating based magnetic-field sensors. Some theoretical background about fibre Bragg gratings, photosensitivity, fibre Bragg grating sensors and filters are presented. Fibre Bragg grating sensors in other industrial applications are highlighted. Some sensing principles are also introduced. Experimental work is carried out to demonstrate a magnetic-field sensor using an established fibre Bragg grating strain sensor. System performance and trade-off are discussed. The most important part of this thesis is on the fabrication of photonic transversal filter using fibre Bragg grating arrays. In order to improve the filter performance, a novel tap multiplexing structure is presented. Further improving approaches such as apodisation are also investigated. The basis of nonrecirculating filter, some structure and performance are introduced.
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Yang, Wenjian. "Microwave Photonics and Sensing based on Silicon Photonics." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23482.

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Chip scale photonic integrated circuits can provide important new functions in communications, signal processing and sensing. Recent research on microwave photonics (MWPs) and integrated optical sensors using the silicon photonic devices has opened up new opportunities for signal processing and sensing applications. MWPs brings together the world of microwave engineering and optoelectronics, which provides solutions for processing high frequency microwave signals. It has attracted significant interest in many different areas including communications, sensors, radar systems and defence applications. The use of photonic integrated circuit enhances functionalities and flexibilities as well as enabling a reduction of size and weight for MWP applications. The high integratablity of the photonic circuit not only boosts the filtering, time delay and phase shifting functionalities, but also enables the sensing applications in the nano-scale range. Integrated sensors are under high demand in many environmental chemical and biomedical applications. The mass fabricated integrated sensor provides opportunities for multi-functional sensor array with minimized volume. The research work presented in this thesis aims to investigate silicon photonics applications in MWP signal processing and different sensing circumstances. Firstly, the MWP filter based on the SOI microring resonator with phase compensation method is demonstrated. In addition, instantaneous frequency measurement based on frequency to time mapping is presented. Then, a novel integrated optical sensor system based on SOI add drop microring resonator structure is presented. The MWP techniques for high performance sensing application is explored. Lastly, to address the multi-functionality of silicon photonics based sensor, an application of integrated ultrasound optical sensor is demonstrated. It is expected the work provided in this thesis can assist in the emergence of real-world silicon photonic applications. (1992 out of 2000 characters)
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Books on the topic "Microwave sensing"

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Calla, O. P. N. Microwave remote sensing. Edited by Saravanan A, Defence Research & Development Organisation (India), and Defence Scientific Information and Documentation Centre (India). New Delhi: Defence Research & Development Organisation, Ministry of Defence, India, 2009.

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1942-, Kong Jin Au, and Shin Robert T, eds. Theory of microwave remote sensing. New York: Wiley, 1985.

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M, Brennan Ann, and World Data Center A for Glaciology., eds. Passive microwave research: Microwave bibliography update, 1988-1991. Boulder, Colo., U.S.A. (Box 449, Boulder 80309): World Data Center for Glaciology (Snow and Ice), Cooperative Institute for Research in Environmental Sciences, University of Colorado, 1992.

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Woodhouse, Iain H. Introduction to microwave remote sensing. Boca Raton, FL: CRC/Taylor & Francis, 2006.

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Introduction to microwave remote sensing. Boca Raton, FL: Taylor&Francis, 2005.

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1937-, Janssen Michael A., ed. Atmospheric remote sensing by microwave radiometry. New York: Wiley, 1993.

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K, Moore Richard, and Fung Adrian K, eds. Microwave remote sensing: Active and passive. Dedham, MA: Artech House, 1986.

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Carsey, Frank D., ed. Microwave Remote Sensing of Sea Ice. Washington, D. C.: American Geophysical Union, 1992. http://dx.doi.org/10.1029/gm068.

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Li, Changzhi, and Jenshan Lin. Microwave Noncontact Motion Sensing and Analysis. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118742556.

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Yu, Raizer Victor, ed. Passive microwave remote sensing of oceans. Chichester: Wiley, 1998.

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Book chapters on the topic "Microwave sensing"

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Gupta, Ravi Prakash. "Microwave Sensors." In Remote Sensing Geology, 149–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-12914-2_10.

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Gupta, Ravi Prakash. "Microwave Sensors." In Remote Sensing Geology, 317–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05283-9_12.

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Gupta, Ravi P. "Microwave Sensors." In Remote Sensing Geology, 221–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-55876-8_15.

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Maul, G. A. "Microwave Remote Sensing." In Introduction to satellite oceanography, 397–505. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5061-0_5.

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Awange, Joseph, and John Kiema. "Microwave Remote Sensing." In Environmental Geoinformatics, 137–48. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03017-9_9.

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Awange, Joseph L., and John B. Kyalo Kiema. "Microwave Remote Sensing." In Environmental Geoinformatics, 133–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34085-7_9.

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Skou, Niels. "Microwave Radiometers." In Encyclopedia of Remote Sensing, 382–85. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_94.

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Zhang, Jianjun, and Jing Li. "Microwave Photonics." In Satellite Photoelectric Sensing Technology, 11–30. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89843-4_2.

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Ruf, Christopher. "Calibration, Microwave Radiometers." In Encyclopedia of Remote Sensing, 46–47. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_11.

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Rahmat-Samii, Yahya. "Microwave Horn Antennas." In Encyclopedia of Remote Sensing, 375–82. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_92.

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Conference papers on the topic "Microwave sensing"

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Costes, Laurent, Chris Bushell, Michael J. Buckley, and Graeme Mason. "Microwave Humidity Sounder (MHS) antenna." In Remote Sensing, edited by Hiroyuki Fujisada and Joan B. Lurie. SPIE, 1999. http://dx.doi.org/10.1117/12.373211.

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Seiler, Milton R., John L. Haselwood, and Larry A. Stockum. "Infrared imaging of microwave sources." In Aerospace Sensing, edited by Jan K. Eklund. SPIE, 1992. http://dx.doi.org/10.1117/12.58546.

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Krimchansky, Sergey, Joel Susskind, Alexander Krimchansky, Donald Chu, Robert Lambeck, and Martin A. Davis. "GEO sounding using microwave instruments." In Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2004. http://dx.doi.org/10.1117/12.565283.

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Jiang, JingShang, He-guang Liu, Bin-qiang Zheng, Zhong-fan Fan, and Kai Zhao. "Multimode microwave remote sensor." In Satellite Remote Sensing, edited by Joan B. Lurie, Paolo Pampaloni, and James C. Shiue. SPIE, 1994. http://dx.doi.org/10.1117/12.197348.

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Puentes, Margarita, Martin Schu, Andreas Penirschke, Christian Damm, and Rolf Jakoby. "Metamaterials in microwave sensing applications." In 2010 Ninth IEEE Sensors Conference (SENSORS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icsens.2010.5690570.

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Bolomey, Jean-Charles. "New concepts for microwave sensing." In SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, edited by Satish S. Udpa and Hsiu C. Han. SPIE, 1994. http://dx.doi.org/10.1117/12.186703.

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Nikawa, Yoshio, and Suguru Nakamura. "Microwave application in medical sensing." In 2015 9th International Symposium on Medical Information and Communication Technology (ISMICT). IEEE, 2015. http://dx.doi.org/10.1109/ismict.2015.7107513.

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Tabart, C., F. Bayle, and Marc Trier. "Receiver for the microwave humidity sounder." In Remote Sensing, edited by Jaqueline E. Russell. SPIE, 1999. http://dx.doi.org/10.1117/12.373049.

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Hung, Hing-Loi A., and Chi H. Lee. "Recent developments in optical-microwave techniques." In Aerospace Sensing, edited by Shi-Kay Yao and Brian M. Hendrickson. SPIE, 1992. http://dx.doi.org/10.1117/12.138387.

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Malarkey, Edward C., Dickron Mergerian, C. Y. Lyu, M. M. Driscoll, Irwin J. Abramovitz, D. E. Flechsig, Anastasios P. Goutzoulis, and D. Kenneth Davies. "Optically implemented synthesis of microwave frequencies." In Aerospace Sensing, edited by Shi-Kay Yao and Brian M. Hendrickson. SPIE, 1992. http://dx.doi.org/10.1117/12.138412.

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Reports on the topic "Microwave sensing"

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Ramani, Suchitra. Microwave remote sensing for atmospheric chemistry. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1471300.

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Randa, J. Traceability for microwave remote-sensing radiometry. Gaithersburg, MD: National Institute of Standards and Technology, 2004. http://dx.doi.org/10.6028/nist.ir.6631.

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Kong, Jin A. Polarimetric Microwave Remote Sensing of the Ocean Surface. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada389270.

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Ferriday, J. G. Satellite remote sensing of global rainfall using passive microwave radiometry. Office of Scientific and Technical Information (OSTI), December 1994. http://dx.doi.org/10.2172/642694.

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Vesecky, John F. Ocean Surface Wind Retrieval Using Passive, Polarimetric Microwave Remote Sensing. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada628803.

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Sokol, J., T. J. Pultz, and A. E. Walker. Passive and Active Airborne Microwave Remote Sensing of Snow Cover. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/219518.

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Heifetz, Alexander, Eugene Koehl, Tianyang Fang, Jafar Saniie, and Sasan Bakhtiari. Demonstration of Microwave Resonant Cavity Transducer Performance in Fluid Flow Sensing. Office of Scientific and Technical Information (OSTI), March 2022. http://dx.doi.org/10.2172/1861797.

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Gerstl, S., B. Cooke, A. Jacobson, S. Love, and A. Zardecki. Feasibility of microwave interferometry and fourier-transform spectrometry for high-spectral-resolution sensing. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/395589.

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Lu, Kyle. Microwave Instrumentation and Sensing Techniques for Quantum Efficiency and Minority-Carrier Lifetime Measurements. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5387.

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He, Rui, Na (Luna) Lu, and Jan Olek. Development of In-Situ Sensing Method for the Monitoring of Water-Cement (w/c) Values and the Effectiveness of Curing Concrete. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317377.

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As the most widely used construction material, concrete is very durable and can provide long service life without extensive maintenance. The strength and durability of concrete are primarily influenced by the initial water-cement ratio value (w/c), and the curing condition during the hardening process also influences its performance. The w/c value is defined as the total mass of free water that can be consumed by hydration divided by the total mass of cement and any additional pozzolanic material such as fly ash, slag, silica fume. Once placed, field concrete pavements are routinely cured with liquid membrane-forming compounds. For laboratory study, concrete samples are usually cured in saturated lime water or a curing room with a relative humidity (RH) value higher than 95%. Thus, the effectiveness of curing compounds for field concrete needs to be studied. In this study, the dielectric constant value of plastic concrete was measured by ground penetrating radar (GPR). The w/c value of the plastic concrete was calculated by a mathematical model from the measured dielectric constant value. The calculated w/c value was compared with the microwave oven drying measurement determined result in AASHTO T318. A modified coarse aggregate correction factor was proposed and applied in microwave oven drying measurement to determine the w/c value of plastic concrete in AASHTO T318. The effectiveness of curing compound was evaluated by field concrete slabs by GPR measurement. It was found that GPR can be a promising NDT method for In this study, the dielectric constant value of plastic concrete was measured by ground penetrating radar (GPR). The w/c value of the plastic concrete was calculated by a mathematical model from the measured dielectric constant value. The calculated w/c value was compared with the microwave oven drying measurement determined result in AASHTO T318. A modified coarse aggregate correction factor was proposed and applied in microwave oven drying measurement to determine the w/c value of plastic concrete in AASHTO T318. The effectiveness of curing compound was evaluated by field concrete slabs by GPR measurement. It was found that GPR can be a promising NDT method for w/c determination of plastic concrete and curing effectiveness evaluation method for hardened concrete.
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