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Статті в журналах з теми "Scattering Remote sensing systems"
Zhu, Zhiqin, Yaqin Luo, Hongyan Wei, Yong Li, Guanqiu Qi, Neal Mazur, Yuanyuan Li, and Penglong Li. "Atmospheric Light Estimation Based Remote Sensing Image Dehazing." Remote Sensing 13, no. 13 (June 22, 2021): 2432. http://dx.doi.org/10.3390/rs13132432.
Повний текст джерелаKuznecov, A. Yu, A. A. Sadikova, V. I. Gornyj, and I. Sh Latypov. "DEVELOPMENT OF A METHOD FOR SYNTHESIZING AN APERTURE DIAPHRAGM IN HYPERSPECTRAL REMOTE SENSING SYSTEMS FOR EARTH." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 191 (May 2020): 23–30. http://dx.doi.org/10.14489/vkit.2020.05.pp.023-030.
Повний текст джерелаKuznecov, A. Yu, A. A. Sadikova, V. I. Gornyj, and I. Sh Latypov. "DEVELOPMENT OF A METHOD FOR SYNTHESIZING AN APERTURE DIAPHRAGM IN HYPERSPECTRAL REMOTE SENSING SYSTEMS FOR EARTH." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 191 (May 2020): 23–30. http://dx.doi.org/10.14489/vkit.2020.05.pp.023-030.
Повний текст джерелаBala, Jeevan, and Kamlesh Lakhwani. "Performance evaluation of various desmogging techniques for single smoggy images." Modern Physics Letters B 33, no. 05 (February 20, 2019): 1950056. http://dx.doi.org/10.1142/s0217984919500568.
Повний текст джерелаBöttger, U., and R. Preusker. "Radiative transfer model STORM for full Stokes vector calculations in the visible and near infrared spectral range." Advances in Radio Science 4 (September 6, 2006): 329–35. http://dx.doi.org/10.5194/ars-4-329-2006.
Повний текст джерелаNurtyawan, Rian, Asep Saepuloh, Agung Budi Harto, Ketut Wikantika, and Akihiko Kondoh. "Satellite Imagery for Classification of Rice Growth Phase Using Freeman Decomposition in Indramayu, West Java, Indonesia." HAYATI Journal of Biosciences 25, no. 3 (October 24, 2018): 126. http://dx.doi.org/10.4308/hjb.25.3.126.
Повний текст джерелаWilliams, John K., and J. Vivekanandan. "Sources of Error in Dual-Wavelength Radar Remote Sensing of Cloud Liquid Water Content." Journal of Atmospheric and Oceanic Technology 24, no. 8 (August 1, 2007): 1317–36. http://dx.doi.org/10.1175/jtech2042.1.
Повний текст джерелаLi, Ying. "Monitoring and Mathematical Model Analysis of Dynamic Changes in Land Resources Based on SAR Sensor Image." Journal of Sensors 2021 (September 9, 2021): 1–12. http://dx.doi.org/10.1155/2021/1661825.
Повний текст джерелаThompson, Jonathan V., Brett H. Hokr, Wihan Kim, Charles W. Ballmann, Brian E. Applegate, Javier Jo, Alexey Yamilov, Hui Cao, Marlan O. Scully, and Vladislav V. Yakovlev. "Enhanced coupling of light into a turbid medium through microscopic interface engineering." Proceedings of the National Academy of Sciences 114, no. 30 (July 12, 2017): 7941–46. http://dx.doi.org/10.1073/pnas.1705612114.
Повний текст джерелаBebbington, D. H. O., L. Carrea, and G. Wanielik. "Application of Geometric Polarization to Invariance Properties in Bistatic Scattering." Advances in Radio Science 3 (May 13, 2005): 421–25. http://dx.doi.org/10.5194/ars-3-421-2005.
Повний текст джерелаДисертації з теми "Scattering Remote sensing systems"
Chen, Zhengxiao. "Microwave remote sensing of vegetation : Stochastic Lindenmayer systems, collective scattering effects, and neural network inversions /." Thesis, Connect to this title online; UW restricted, 1994. http://hdl.handle.net/1773/5854.
Повний текст джерелаRocadenbosch, Burillo Francesc. "Lidar sensing of the atmosphere: receiver design and inversion algorithms for an elastic system." Doctoral thesis, Universitat Politècnica de Catalunya, 1996. http://hdl.handle.net/10803/6909.
Повний текст джерелаLIDAR is an acronym of LIght Detection And Ranging. In the present case, the elastic lidar techniques are used to remotely sense the atmosphere and to derive quantitative information about its optical parameters.This thesis comprises the design and operation of an elastic lidar station based on a pulsed Nd:YAG laser operating at the 1064- and 532-nm wavelengths, in the parts concerning receiver, control systems, and inversion algorithms.Basically, it can be divided in three different parts: The first one (Chaps. 1, 2, and 3) encompasses the study of the elastic scattering (Rayleigh and Mie) in the atmosphere for link-budget purposes and gives some insight into the interweaving between physical variables such as temperature, pressure and humidity, and the scattering phenomena, letting apart any possible extrapolation to meteorological models. From this basis, extinction and backscatter figures for different atmospheric conditions can readily be assessed and, as result, a system link budget is presented. This includes lidar range study, signal-to-noise ratio assessment, and photodiode evaluation from custom-made libraries. At the end of the first part, the system specification is made. The second part of this work (Chaps. 4, 5, and 6) is concerned with the design and implemen-tation of receiver, synchronization, and control systems. The optoelectronic receiver is based on current-feedback amplifiers and features a very large gain-bandwidth product. As for the synchronization subsystem, two different units are presented with a view to a future scanning lidar system, which makes room for interspersed scans. Eventually, the control system designed is LabView based and features a distributed control philosophy. For that purpose, lidar bus protocols and signals are specified and built for the actual lidar station. Finally, the third part encircles the design of inversion algorithms with and without memory (Chaps. 7 and 8). Non-memory algorithms for homogeneous atmospheres are based on regression curve-fitting procedures, such as the slope-method and the least squares while in instances of inhomogeneous atmospheres they are based on Klett's method and appropriate calibrations. Memory algorithms are based on different stochastic models for the atmosphere and on non-linear Kalman filtering. In addition to these inversion procedures, error assessment plots are also derived and discussed. Chap. 9 describes the measurements carried out with the system this work has contributed to build and the results of applying to them the inversion algorithms discussed in the preceding chapters.The inversion of live-scenes involves pollution structure studies, cloud studies (ceilometry, cloud motion and wave clouds, basically), and hints overlap factor error sources.
Penner, Justin Frank. "Development of a Grond-Based High-Resolution 3D-SAR System for Studying the Microwave Scattering Characteristics of Trees." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2889.
Повний текст джерелаBismarck, Jonas von [Verfasser]. "Vibrational Raman Scattering of Liquid Water : Quantitative Incorporation into a Numeric Radiative Transfer Model of the Atmosphere-Ocean System and Analysis of its Impact on Remote Sensing Applications / Jonas von Bismarck." Berlin : Freie Universität Berlin, 2016. http://d-nb.info/1098185447/34.
Повний текст джерелаO'Bree, Terry Adam, and s9907681@student rmit edu au. "Investigations of light scattering by Australian natural waters for remote sensing applications." RMIT University. Applied Sciences, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080110.140055.
Повний текст джерелаAo, Chi On 1970. "Electromagnetic wave scattering by discrete random media with remote sensing applications." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/16782.
Повний текст джерелаIncludes bibliographical references (p. 171-182).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
The scattering of electromagnetic waves in medium with randomly distributed discrete scatterers is studied. Analytical and numerical solutions to several problems with implications for the active and passive remote sensing of the Earth environment are obtained. The quasi-magnetostatic (QMS) solution for a conducting and permeable spheroid under arbitrary excitation is presented. The spheroid is surrounded by a weakly conducting background medium. The magnetic field inside the spheroid satisfies the vector wave equation, while the magnetic field outside can be expressed as the gradient of the Laplace solution. We solve this problem exactly using the separation of variables method in spheroidal coordinates by expanding the internal field in terms of vector spheroidal wavefunctions. The exact formulation works well for low to moderate frequencies; however, the solution breaks down at high frequency due to numerical difficulty in computing the spheroidal wavefunctions. To circumvent this difficulty, an approximate theory known as the small penetration-depth approximation (SPA) is developed. The SPA relates the internal field in terms of the external field by making use of the fact that at high frequency, the external field can only penetrate slightly into a thin skin layer below the surface of the spheroid. For spheroids with general permeability, the SPA works well at high frequency and complements the exact formulation. However, for high permeability, the SPA is found to give accurate broadband results. By neglecting mutual interactions, the QMS frequency response from a collection of conducting and permeable spheroids is also studied.
(cont.) In a dense medium, the failure to properly take into account of multiple scattering effects could lead to significant errors. This has been demonstrated in the past from extensive theoretical, numerical, and experimental studies of electromagnetic wave scattering by densely packed dielectric spheres. Here, electromagnetic wave scattering by dense packed dielectric spheroids is studied both numerically through Monte Carlo simulations and analytically through the quasi-crystalline approximation (QCA) and QCA with coherent potential (QCA-CP). We assume that the spheroids are electrically small so that single-particle scattering is simple. In the numerical simulations, the Metropolis shuffling method is used to generate realizations of configurations for non-interpenetrable spheroids. The multiple scattering problem is formulated with the volume integral equation and solved using the method of moments with electrostatic basis functions. General expressions for the self-interaction elements are obtained using the low-frequency expansion of the dyadic Green's function, and radiative correction terms are included. Results of scattering coefficient, absorption coefficient, and scattering matrix for spheroids in random and aligned orientation configurations are presented. It is shown that independent scattering approximation can give grossly incorrect results when the fractional volume of the spheroids is appreciable.
(cont.) In the analytical approach, only spheroids in the aligned configuration are solved. Low-frequency QCA and QCA-CP solutions are obtained for the average Green's function and the effective permittivity tensor. For QCA-CP, the low-frequency expansion of the uniaxial dyadic Green's function is required. The real parts of the effective permittivities from QCA and QCA-CP are compared with the Maxwell-Garnett mixing formula. ...
by Chi On Ao.
Ph.D.
Oh, Han, and Hariharan G. Lalgudi. "Scalable Perceptual Image Coding for Remote Sensing Systems." International Foundation for Telemetering, 2008. http://hdl.handle.net/10150/606208.
Повний текст джерелаIn this work, a scalable perceptual JPEG2000 encoder that exploits properties of the human visual system (HVS) is presented. The algorithm modifies the final three stages of a conventional JPEG2000 encoder. In the first stage, the quantization step size for each subband is chosen to be the inverse of the contrast sensitivity function (CSF). In bit-plane coding, two masking effects are considered during distortion calculation. In the final bitstream formation step, quality layers are formed corresponding to desired perceptual distortion thresholds. This modified encoder exhibits superior visual performance for remote sensing images compared to conventional JPEG2000 encoders. Additionally, it is completely JPEG2000 Part-1 compliant, and therefore can be decoded by any JPEG2000 decoder.
Wanderley, Juliana Fernandes Camapum. "Colour-based recognition for remote sensing in environmental systems." Thesis, Coventry University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266844.
Повний текст джерелаMoreira, Gregori de Arruda. "Analyses of planetary boundary layer from remote sensing systems." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/85/85134/tde-15052018-122950/.
Повний текст джерелаA Camada Limite Planetária (PBL - Planetary Boundary Layer) é uma parte relevante da atmosfera com uma extensão variável e que claramente desempenha um papel importante em áreas de estudo, como: a qualidade do ar ou a previsão do tempo. Sistemas de sensoriamento remoto passivo e ativo têm sido amplamente utilizado para analisar as características da PBL. A combinação de diferentes técnicas de sensoriamento remoto permite obter uma imagem completa da dinâmica desta camada. Neste estudo, analisamos o comportamento da PBL utilizando quatro tipos de sistemas de sensoriamento remoto: Radiômetro de Micro-ondas (MWR), Lidar Elástico (EL), Lidar Doppler (DL) e Ceilômetro. As medições foram realizadas em duas cidades, Granada (Espanha) e São Paulo (Brasil). Primeiramente, em Granada, a altura da PBL (PBLH) obtida a partir dos dados do MWR foi validada pela PBLH gerada pela análise dos dados de radiossondas, mostrando uma boa concordância. Em um segundo estágio, sistemas ativos de sensoriamento remoto foram usados para a obtenção da PBLH. Assim, o método do filtro de Kalman foi aplicado aos dados do EL enquanto o método da variância da velocidade vertical do vento foi aplicado aos dados do DL. As PBLH derivadas dessas abordagens foram comparadas com o PBLH fornecida pelo MWR, sendo que os resultados mostram uma boa concordância na maioria dos casos, embora algumas discrepâncias apareçam nas situações de mudanças intensas da PBL (crescimento e/ou diminuição). Em seguida, é realizada a análise dos dados das medidas coletadas com um ceilômetro e um radiômetro de micro-ondas durante quatro e cinco anos, respectivamente, em Granada. As metodologias aplicadas para a detecção da PBLH (método de gradiente para o ceilômetro e a combinação do método de parcela e do método de gradiente de temperatura para o radiômetro de micro-ondas) forneceram uma descrição satisfatória da estrutura da PBL em casos simples. Além disso, o comportamento da PBL foi caracterizado por um estudo estatístico das PBLH convectiva e estável, as quais foram obtidas a partir das medidas do radiômetro de micro-ondas. A análise do estudo estatístico realizado para a PBLH mostra algumas coincidências com outros estudos já realizados para a mesma variável, como o padrão diário e os ciclos anuais. Mas também há algumas diferenças, as quais são causadas por latitudes, topografia e clima distintos. Foi realizada também uma análise combinada de longo prazo da Camada Residual (gerada pelos dados do Ceilômetro) e da Camada Estável e Convectiva (obtida pelos dados do radiômetro de micro-ondas), oferecendo assim um quadro completo da evolução da PBL por combinação sinérgica de técnicas de sensoriamento remoto. Essa é a razão pela qual sistemas com alta resolução temporal e espacial, como os lidars, têm sido cada vez mais aplicados em estudos sobre essa região atmosférica. Neste trabalho, também foi realizada, em São Paulo, uma análise do sinal retroespalhado em três comprimentos de onda (355, 532 e 1064 nm), o qual provê informações da turbulência através da análise dos momentos de alta ordem (variância, assimetria e curtose). O comprimento de onda de 355 nm apresenta pouca aplicabilidade na metodologia proposta, devido à sua baixa intensidade (por conta da predominância do retroespalhamento molecular) e grande presença de ruído, enquanto o comprimento de onda de 532 nm apresentou resultados semelhantes aos fornecidos pelo comprimento de onda de 1064 nm, o qual foi usado como referência. Em seguida, foram analisados dois estudos de caso utilizando os comprimentos de onda de 532 e 1064 nm (em separado). Essa abordagem forneceu informações sobre a altura da PBL (derivada pelo método de variância (Menut et al., 1999), deslocamento de camadas de aerossol (assimetria) e nível de mistura em várias alturas (curtose), mostrando a viabilidade da metodologia proposta, quando os comprimentos de onda de 532 e 1064 nm são usados para a descrição da PBL a partir dos momentos de alta ordem. Além disso, demonstrou-se, com dados de DL, EL e MWR obtidos em Granada, como algumas variáveis (temperatura do ar, concentração de aerossóis, vento vertical, umidade relativa e radiação líquida) podem influenciar a dinâmica da PBL. Os momentos de alta ordem das distribuições de velocidade vertical derivadas dos dados do DL e o sinal retroespalhado obtido a partir do EL foram corrigidos por duas metodologias (first lag e correção de -2/3). Os perfis corrigidos apresentam pequenas diferenças quando comparados com os perfis não corrigidos, mostrando baixa influência do ruído e a viabilidade da metodologia proposta. Foi realizada uma análise detalhada de dois estudos de casos, o primeiro correspondendo a uma PBL bem definida, enquanto o segundo corresponde a uma situação com a presença de uma camada de nuvens e poeira saariana. Em ambos os casos, os resultados fornecidos pelos diferentes instrumentos acabaram se complementando, de modo que o uso sinérgico dos diferentes sistemas nos permitiu um monitoramento detalhado da PBL.
Thompson, James. "Identifying Subsurface Tile Drainage Systems Utilizing Remote Sensing Techniques." University of Toledo / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1290141705.
Повний текст джерелаКниги з теми "Scattering Remote sensing systems"
Electromagnetic scattering modelling for quantitative remote sensing. Singapore: World Scientific, 1993.
Знайти повний текст джерелаCloude, Shane. Polarisation: Applications in remote sensing. Oxford: Oxford University Press, 2009.
Знайти повний текст джерелаPolarisation: Applications in remote sensing. Oxford: Oxford University Press, 2010.
Знайти повний текст джерелаRemote sensing and GIS. 2nd ed. New Delhi, India: Oxford University Press, 2011.
Знайти повний текст джерелаBhatta, Basudeb. Remote sensing and GIS. Delhi: Oxford University Press, 2008.
Знайти повний текст джерелаSpace remote sensing systems: An introduction. Orlando [Fla.]: Academic Press, 1985.
Знайти повний текст джерелаEnvironmental remote sensing and systems analysis. Boca Raton: CRC Press, 2012.
Знайти повний текст джерелаRemote sensing calibration systems: An introduction. Hampton, VA: A. Deepak, 1997.
Знайти повний текст джерелаRemote sensing for GIS managers. Redlands, Ca: ESRI Press, 2005.
Знайти повний текст джерелаBliven, Larry. Presenting the Rain--Sea Interaction Facility. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1993.
Знайти повний текст джерелаЧастини книг з теми "Scattering Remote sensing systems"
Sun, Wenbo, Rosemary R. Baize, Constantine Lukashin, Gorden Videen, Yongxiang Hu, and Bing Lin. "Modeling polarized solar radiation of the ocean–atmosphere system for satellite remote sensing applications." In Light Scattering Reviews 10, 163–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-46762-6_4.
Повний текст джерелаArai, Kohei. "Method for Estimation of Multiple Reflection, Scattering and Absorption in Mountainous Areas of Remote Sensing Satellite Data." In Advances in Intelligent Systems and Computing, 925–35. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32523-7_68.
Повний текст джерелаMarzano, Frank S. "Radiation, Multiple Scattering." In Encyclopedia of Remote Sensing, 585–88. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_143.
Повний текст джерелаTsang, Leung, and Kung-Hau Ding. "Radiation, Volume Scattering." In Encyclopedia of Remote Sensing, 595–606. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_150.
Повний текст джерелаWeill, Alain. "Acoustic Waves, Scattering." In Encyclopedia of Remote Sensing, 13–16. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_3.
Повний текст джерелаSolimini, Domenico. "Scattering." In Remote Sensing and Digital Image Processing, 209–85. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25633-7_7.
Повний текст джерелаLenoble, Jacqueline, Michael I. Mishchenko, and Maurice Herman. "Absorption and scattering by molecules and particles." In Aerosol Remote Sensing, 13–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-17725-5_2.
Повний текст джерелаSchanda, Erwin. "Scattering of Radiation." In Physical Fundamentals of Remote Sensing, 98–135. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-48733-0_4.
Повний текст джерелаYarovoy, Alexander. "Microwave Subsurface Propagation and Scattering." In Encyclopedia of Remote Sensing, 398–402. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_103.
Повний текст джерелаLyzenga, David R. "Microwave Surface Scattering and Emission." In Encyclopedia of Remote Sensing, 403–5. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_104.
Повний текст джерелаТези доповідей конференцій з теми "Scattering Remote sensing systems"
Ben-Dor, Baruch, Adam D. Devir, Gal Shaviv, Piero Bruscaglioni, P. Donelli, and Andrea Ismaelli. "Atmospheric multiple scattering effect on spatial resolution of imaging systems." In Satellite Remote Sensing III, edited by Adam D. Devir, Anton Kohnle, and Christian Werner. SPIE, 1997. http://dx.doi.org/10.1117/12.263164.
Повний текст джерела"SIGNAL PROCESSING FOR RADAR AND GPS IN BISTATIC FORWARD SCATTERING SYSTEMS." In Second International Conference on Telecommunications and Remote Sensing. SCITEPRESS - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004784500110011.
Повний текст джерелаSu, Liping, Weijiang Zhao, Deming Ren, Yanchen Qu, and Xiaoyong Hu. "Influence of organic film for bubbles on scattering properties of ship wakes." In ICO20:Remote Sensing and Infrared Devices and Systems, edited by Jingshan Jiang, O. Y. Nosach, and Jiaqi Wang. SPIE, 2006. http://dx.doi.org/10.1117/12.667952.
Повний текст джерелаChowdhary, Jacek, Larry D. Travis, and Andrew A. Lacis. "Incorporation of a rough ocean surface and semi-infinite water body in multiple scattering computations of polarized light in an atmosphere-ocean system." In Satellite Remote Sensing, edited by Richard P. Santer. SPIE, 1995. http://dx.doi.org/10.1117/12.198585.
Повний текст джерелаBelmonte, Aniceto, and Antonio Lázaro. "A new approach to the modeling of optical remote sensing systems using vortical scattering parameters." In Optics/Photonics in Security and Defence, edited by Gary W. Kamerman, David V. Willetts, and Ove K. Steinvall. SPIE, 2006. http://dx.doi.org/10.1117/12.689816.
Повний текст джерелаXu, Jiaxuan, Haipeng Wang, Chunzhuo Fan, and Feng Xu. "An Electromagnetic Scattering Simulation Based Semi-Physical System for SAR Jamming." In IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. http://dx.doi.org/10.1109/igarss.2019.8898694.
Повний текст джерелаGarvanov, Ivan, Christo Kabakchiev, Vera Behar, and Hermann Rohling. "Experimental Study of Moving Man Detection by Acoustic Forward Scattering Radar System." In ICTRS'17: 6th International Conference on Telecommunications and Remote Sensing. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3152808.3152818.
Повний текст джерелаGreving, Gerhard, Wolf-Dieter Biermann, and Rolf Mundt. "Status of advanced scattering distortion system analysis for navaids and radar - examples of A380 and wind turbines." In 2008 Microwaves, Radar and Remote Sensing Symposium (MRRS). IEEE, 2008. http://dx.doi.org/10.1109/mrrs.2008.4669543.
Повний текст джерелаLuo, Zhengyu, Lei Du, Lirong Liu, Yuhang Gan, Ke Liu, and Chang Li. "Study on Polarimetric Scattering Characteristics of Different Band SAR Images Based on Chinese Airborne Sar System." In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2022. http://dx.doi.org/10.1109/igarss46834.2022.9884902.
Повний текст джерелаSchmidt, Jendrik, Matthias Mischung, Enno Peters, Susanne Wollgarten, and Maurice Stephan. "Long-term performance evaluation of a NIR gated viewing sensor in scattering environments." In Electro-optical and Infrared Systems: Technology and Applications XVIII and Electro-Optical Remote Sensing XV, edited by Duncan L. Hickman, Helge Bürsing, Gary W. Kamerman, and Ove Steinvall. SPIE, 2021. http://dx.doi.org/10.1117/12.2599892.
Повний текст джерелаЗвіти організацій з теми "Scattering Remote sensing systems"
Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, October 1994. http://dx.doi.org/10.32747/1994.7570549.bard.
Повний текст джерелаHenson, T. D., J. C. Wehlburg, J. M. Redmond, J. A. Main, and J. W. Martin. Thin-Skin Deployable Mirrors for Remote Sensing Systems. Office of Scientific and Technical Information (OSTI), January 2001. http://dx.doi.org/10.2172/773989.
Повний текст джерелаHovey, Stanford T., Carlton Daniel, and Paul E. Bryant. Complementing Remote Sensing Systems in Flood Mitigation and Preparation,. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada354780.
Повний текст джерелаSinclair, Michael B., Kent Bryant Pfeifer, and James Joe Allen. Advanced polychromator systems for remote chemical sensing (LDRD project 52575). Office of Scientific and Technical Information (OSTI), January 2005. http://dx.doi.org/10.2172/921144.
Повний текст джерелаLockwood, S. D., D. Hardin, G. J. Miller, C. Meesuk, and P. R. Straus. Definitions of Attributes for Limb-Scanning or Limb-Imaging Remote Sensing Systems. Fort Belvoir, VA: Defense Technical Information Center, May 1995. http://dx.doi.org/10.21236/ada294616.
Повний текст джерелаLavery, Andone C., Eugene A. Terray, and Scott Gallager. Remote Sensing of Temperature and Salinity Microstructure in Rivers and Estuaries Using Broadband Acoustic Scattering Techniques. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada534086.
Повний текст джерелаLavery, Andone C. Remote Sensing of Temperature and Salinity Microstructure in Rivers and Estuaries Using Broadband Acoustic Scattering Techniques. Fort Belvoir, VA: Defense Technical Information Center, May 2010. http://dx.doi.org/10.21236/ada520987.
Повний текст джерелаHerrington, Thomas. Field evaluation of remote wind sensing technologies: Shore-based and buoy mounted LIDAR systems. Office of Scientific and Technical Information (OSTI), November 2017. http://dx.doi.org/10.2172/1406889.
Повний текст джерелаRobert Paul Breckenridge. Improving Rangeland Monitoring and Assessment: Integrating Remote Sensing, GIS, and Unmanned Aerial Vehicle Systems. Office of Scientific and Technical Information (OSTI), May 2007. http://dx.doi.org/10.2172/978362.
Повний текст джерелаDelle Monache, L., D. Rodriguez, and R. Cederwall. Clear Sky Identification Using Data From Remote Sensing Systems at ARM's Southern Great Plains Site. Office of Scientific and Technical Information (OSTI), June 2000. http://dx.doi.org/10.2172/793575.
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