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Relevant bibliographies by topics / Sparse aperture

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Academic literature on the topic 'Sparse aperture'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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Journal articles on the topic "Sparse aperture"

1

Liu, Tiecheng, Jingpei Hu, Linglin Zhu, Ruyi Zhou, Chong Zhang, Chinhua Wang, Aijun Zeng, and Huijie Huang. "Large effective aperture metalens based on optical sparse aperture system." Chinese Optics Letters 18, no. 10 (2020): 100001. http://dx.doi.org/10.3788/col202018.100001.

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Salvaggio, Philip S., John R. Schott, and Donald M. McKeown. "Genetic apertures: an improved sparse aperture design framework." Applied Optics 55, no. 12 (April 13, 2016): 3182. http://dx.doi.org/10.1364/ao.55.003182.

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Schindler, John K. "Sparse, Active Aperture Imaging." PIERS Online 4, no. 5 (2008): 581–85. http://dx.doi.org/10.2529/piers080120101702.

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Schindler, John K. "Sparse, Active Aperture Imaging." IEEE Journal of Selected Topics in Signal Processing 4, no. 1 (February 2010): 202–9. http://dx.doi.org/10.1109/jstsp.2009.2038981.

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Miller, Nicholas J., Matthew P. Dierking, and Bradley D. Duncan. "Optical sparse aperture imaging." Applied Optics 46, no. 23 (August 9, 2007): 5933. http://dx.doi.org/10.1364/ao.46.005933.

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Zhou, Zhi Wei, and Da Yong Wang. "Wavefront Sensing by Digital Holography in Optical Sparse Aperture Imaging System." Advanced Materials Research 718-720 (July 2013): 2015–20. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2015.

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The optical sparse aperture imaging system consists of several small apertures for high resolution imaging. The incoherent light from each small aperture will form an image together strictly at the same focal plane, while the phase error will destroy such co-phase condition. The phase error is caused by deployment of small aperture and should be diminished. We applied digital holography technology to detect the wavefront of this system. The theoretical analysis and experiment are presented to demonstrate successful reconstruction of phase error.

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Meinel, Aden and Marjorie. "Extremely Large Sparse Aperture Telescopes." Optics and Photonics News 14, no. 10 (October 1, 2003): 26. http://dx.doi.org/10.1364/opn.14.10.000026.

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ling Yan Fengtao, 闫锋涛, 范斌 Fan Bin, 侯溪 Hou Xi, and 伍凡 Wu Fan. "Large-aperture mirror test using sparse sub-aperture samp." High Power Laser and Particle Beams 23, no. 12 (2011): 3193–96. http://dx.doi.org/10.3788/hplpb20112312.3193.

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Zeng, Cao, MinHang Wang, GuiSheng Liao, and ShengQi Zhu. "Sparse synthetic aperture radar imaging with optimized azimuthal aperture." Science China Information Sciences 55, no. 8 (June 21, 2012): 1852–59. http://dx.doi.org/10.1007/s11432-012-4604-9.

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Yuntao He, Yuntao He, Haiping Huang Haiping Huang, Yuesong Jiang Yuesong Jiang, and Yuedong Zhang Yuedong Zhang. "Optical phase control for MMW sparse aperture upconversion imaging." Chinese Optics Letters 12, no. 5 (2014): 051101–51106. http://dx.doi.org/10.3788/col201412.051101.

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Dissertations / Theses on the topic "Sparse aperture"

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Block, Noah R. "A sensitivity study of a polychromatic sparse-aperture system /." Online version of thesis, 2005. http://hdl.handle.net/1850/7065.

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Clause, Matthew. "SPARSE APERTURE SPECKLE INTERFEROMETRY TELESCOPE ACTIVE OPTICS CONTROL SYSTEM." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1508.

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A conventional large aperture telescope required for binary star research is typically cost prohibitive. A prototype active optics system was created and fitted to a telescope frame using relatively low cost components. The active optics system was capable of tipping, tilting, and elevating the mirrors to align reflected star light. The low cost mirror position actuators have a resolution of 31 nm, repeatable to within 16 nm. This is accurate enough to perform speckle analysis for the visible light spectrum. The mirrors used in testing were not supported with a whiffletree and produced trefoil-like aberrations which made phasing two mirrors difficult. The active optics system was able to successfully focus and align the mirrors through manual adjustment. Interference patterns could not be found due to having no method of measuring the mirror surfaces, preventing proper mirror alignment and phasing. Interference from air turbulence and trefoil-like aberrations further complicated this task. With some future project additions, this system has the potential to be completely automated. The success of the active optics actuators makes for a significant step towards a fully automated sparse aperture telescope.

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Chung, Soon-Jo 1976. "Design, implementation and control of a sparse aperture imaging satellite." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/39262.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2002.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 213-217).
The quest for higher angular resolution in astronomy will inevitably lead to larger and larger apertures. Unfortunately, the diameter size of primary mirrors for space telescopes is limited by the volume and mass constraints of current launch vehicles as well as the scaling laws of manufacturing costs. Efforts are ongoing to break this trend by employing exotic technologies such as deployed segmented mirror telescopes, and sparse aperture optics using interferometry. In order to better understand the technological difficulties involved in designing and building a sparse aperture array, the challenge of building a white light Golay-3 telescope was undertaken. The MIT Adaptive Reconnaissance Golay- 3 Optical Satellite (ARGOS) project exploits wide-angle Fizeau interferometer technology with an emphasis on modularity in the optics and spacecraft subsystems. Unique design procedures encompassing the nature of coherent wavefront sensing, control and combining as well as various systems engineering aspects to achieve cost effectiveness, are developed. To demonstrate a complete spacecraft in a 1-g environment, the ARGOS system is mounted on a frictionless air-bearing, and has the ability to track fast orbiting satellites like the ISS or the planets. Wavefront sensing techniques are explored to mitigate initial misalignment and to feed back real-time aberrations into the optical control loop. This paper presents the results and the lessons learned from the conceive, design and implementation phases of ARGOS. A preliminary assessment shows that the beam combining problem is the most challenging aspect of sparse optical arrays. The need for optical control is paramount due to tight beam combining tolerances. The wavefront sensing/control requirements appear to be a major technology and cost driver.
by Soon-Jo Chung.
S.M.

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Krug, Sarah Elaine. "Digital Phase Correction of a Partially Coherent Sparse Aperture System." University of Dayton / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1437476352.

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Vinci, Joseph J. "Sparse Aperture Measurement in a Non-Ideal Semi-Anechoic Chamber." University of Dayton / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1557426154482334.

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Daniel, Brian. "A system study of sparse aperture sensors in remote sensing applications with explicit phase retrieval /." Online version of thesis, 2009. http://hdl.handle.net/1850/9676.

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Pegher, Douglas J. Parish Jason A. "Optimizing coverage and revisit time in sparse military satellite constellations : a comparison of traditional approaches and genetic algorithms /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sep%5FPegher.pdf.

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Parish, Jason A. "Optimizing coverage and revisit time in sparse military satellite constellations a comparison of traditional approaches and genetic algorithms." Thesis, Monterey, California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1209.

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Sparse military satellite constellations were designed using two methods: a traditional approach and a genetic algorithm. One of the traditional constellation designs was the Discoverer II space based radar. Discoverer II was an 8 plane, 24 satellite, Low Earth Orbit (LEO), Walker constellation designed to provide high-range resolution ground moving target indication (HRR-GMTI), synthetic aperture radar (SAR) imaging and high resolution digital terrain mapping. The traditional method designed 9-ball, 12-ball, 18-ball, and 24- ball Walker constellations. The genetic algorithm created constellations by deriving a phenotype from a triploid genotype encoding of orbital elements. The performance of both design methods were compared using a computer simulation. The fitness of each constellation was calculated using maximum gap time, maximum revisit time, and percent coverage. The goal was to determine if one design method would consistently outperform the other. The genetic algorithm offered a fitness improvement over traditional constellation design methods in all cases except the 24-ball constellation where it demonstrated comparable results. The genetic algorithm improvement over the traditional constellations increased as the number of satellites per constellation decreased. A derived equation related revisit time to the number of ship tracks maintained.
US Navy (USN) author.

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Depoy, Randy S. Jr. "Mitigating atmospheric phase errors in SAL data." Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1610632181418557.

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Jovanovic, N., O. Guyon, J. Lozi, T. Currie, J. Hagelberg, B. Norris, G. Singh, et al. "The SCExAO high contrast imager: transitioning from commissioning to science." SPIE-INT SOC OPTICAL ENGINEERING, 2016. http://hdl.handle.net/10150/622018.

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SCExAO is the premier high-contrast imaging platform for the Subaru Telescope. It offers high Strehl ratios at near-IR wavelengths (y-K band) with stable pointing and coronagraphs with extremely small inner working angles, optimized for imaging faint companions very close to the host. In the visible, it has several interferometric imagers which offer polarimetric and spectroscopic capabilities. A recent addition is the RHEA spectrograph enabling spatially resolved high resolution spectroscopy of the surfaces of giant stars, for example. New capabilities on the horizon include post-coronagraphic spectroscopy, spectral differential imaging, nulling interferometry as well as an integral field spectrograph and an MKID array. Here we present the new modules of SCExAO, give an overview of the current commissioning status of each of the modules and present preliminary results.

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Books on the topic "Sparse aperture"

1

Aperture synthesis: Methods and applications to optical astronomy. New York: Springer, 2011.

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1954-, Lin Hui, and Cheng Shilai, eds. Xing zai lei da gan she ce liang ji shi jian xu lie fen xi de yuan li, fang fa yu ying yong. Beijing Shi: Ke xue chu ban she, 2013.

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Development, North Atlantic Treaty Organization Advisory Group for Aerospace Research and. High resolution air- and spaceborne radar. Neuilly sur Seine, France: AGARD, 1989.

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4

European, Conference on Synthetic Aperture Radar (1996 Königswinter Germany). EUSAR '96, European Conference on Synthetic Aperture Radar, 26-28 March 1996, Königswinter, Germany. Berlin: VDE-Verlag, 1996.

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5

Polidori, Laurent. Cartographie radar. Amsterdam: Gordon and Breach Science Publishers, 1997.

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European Conference on Synthetic Aperture Radar (5th 2004 Ulm, Germany). EUSAR 2004: Proceedings : 5th European Conference on Synthetic Aperture Radar : May 25-27, 2004, Ulm, Germany. Berlin: VDE-Verlag, 2004.

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European Conference on Synthetic Aperture Radar (5th 2004 Ulm, Germany). EUSAR 2004: Proceedings : 5th European Conference on Synthetic Aperture Radar : May 25-27, 2004, Ulm, Germany. Berlin: VDE-Verlag, 2004.

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International Workshop on Image Rectification of Spaceborne Synthetic Aperture Radar (3rd 1990 Farnham Castle, England). Geocoded products: Intercomparison and applications : proceedings of the Third International Workshop on Image Rectification of Spaceborne Synthetic Aperture Radar, Farnham Castle, UK, 1-3 October 1990. Fleet, Hants, UK: Earth Observation Sciences, 1991.

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Xing zai he cheng kong jing lei da dao lun: Introduce to the Spaceborne Sythetic Aperture Radar. Beijing Shi: Guo fang gong ye chu ban she, 2003.

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Földes, Péter. A design study for the use of a multiple aperture deployable antenna for soil moisture remote senisng satellite applications. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1986.

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Book chapters on the topic "Sparse aperture"

1

Wang, Lu, Guoan Bi, and Xianpeng Wang. "Flexible Sparse Representation Based Inverse Synthetic Aperture Radar Imaging." In Lecture Notes in Electrical Engineering, 739–48. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9409-6_87.

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Wang, Zhenglin, and Ivan Lee. "Interleaving and Sparse Random Coded Aperture for Lens-Free Visible Imaging." In Advances in Intelligent Systems and Computing, 251–61. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07773-4_25.

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Gu, Fu-fei, Le Kang, Jiang Zhao, Yin Zhang, and Qun Zhang. "Downward-Looking Sparse Linear Array Synthetic Aperture Radar 3-D Imaging Method Based on CS-MUSIC." In Machine Learning and Intelligent Communications, 160–68. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73447-7_19.

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Moccia, Antonio, and Alfredo Renga. "Bistatic Synthetic Aperture Radar." In Distributed Space Missions for Earth System Monitoring, 3–59. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4541-8_1.

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Papathanassiou, K. P., S. R. Cloude, M. Pardini, M. J. Quiñones, D. Hoekman, L. Ferro-Famil, D. Goodenough, et al. "Forest Applications." In Polarimetric Synthetic Aperture Radar, 59–117. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56504-6_2.

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AbstractThe application of polarimetric Synthetic Aperture Radar (SAR) to forest observation for mapping, classification and parameter estimation (especially biomass) has a relatively long history. The radar penetration through forest volume, and hence the multi-layer nature of scattering models, make fully polarimetric data the observation space enabling a robust and full inversion of such models. A critical advance came with the introduction of polarimetric SAR interferometry, where polarimetry provides the parameter diversity, while the interferometric baseline proves a user-defined entropy control as well as spatial separation of scattering components, together with their location in the third dimension (height). Finally, the availability of multiple baselines leads to the full 3-D imaging of forest volumes through TomoSAR, the quality of which is again greatly enhanced by the inclusion of polarimetry. The objective of this Chapter is to review applications of SAR polarimetry, polarimetric interferometry and tomography to forest mapping and classification, height estimation, 3-D structure characterization and biomass estimation. This review includes not only models and algorithms, but it also contains a large number of experimental results in different test sites and forest types, and from airborne and space borne SAR data at different frequencies.

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Hajnsek, I., G. Parrella, A. Marino, T. Eltoft, M. Necsoiu, L. Eriksson, and M. Watanabe. "Cryosphere Applications." In Polarimetric Synthetic Aperture Radar, 179–213. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56504-6_4.

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AbstractSynthetic aperture radar (SAR) provides large coverage and high resolution, and it has been proven to be sensitive to both surface and near-surface features related to accumulation, ablation, and metamorphism of snow and firn. Exploiting this sensitivity, SAR polarimetry and polarimetric interferometry found application to land ice for instance for the estimation of wave extinction (which relates to sub surface ice volume structure) and for the estimation of snow water equivalent (which relates to snow density and depth). After presenting these applications, the Chapter proceeds by reviewing applications of SAR polarimetry to sea ice for the classification of different ice types, the estimation of thickness, and the characterisation of its surface. Finally, an application to the characterisation of permafrost regions is considered. For each application, the used (model-based) decomposition and polarimetric parameters are critically described, and real data results from relevant airborne campaigns and space borne acquisitions are reported.

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Colin-Koeniguer, E., N. Trouve, Y. Yamaguchi, Y. Huang, L. Ferro-Famil, V. D. Navarro Sanchez, J. M. Lopez Sanchez, et al. "Urban Applications." In Polarimetric Synthetic Aperture Radar, 215–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56504-6_5.

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AbstractThe experimental result reported in this chapter review the application of (high resolution) Synthetic Aperture Radar (SAR) data to extract valuable information for monitoring urban environments in space and time. Full polarimetry is particularly useful for classification, as it allows the detection of built-up areas and to discriminate among their different types exploiting the variation of the polarimetric backscatter with the orientation, shape, and distribution of buildings and houses, and street patterns. On the other hand, polarimetric SAR data acquired in interferometric configuration can be combined for 3-D rendering through coherence optimization techniques. If multiple baselines are available, direct tomographic imaging can be employed, and polarimetry both increases separation performance and characterizes the response of each scatterer. Finally, polarimetry finds also application in differential interferometry for subsidence monitoring, for instance, by improving both the number of resolution cells in which the estimate is reliable, and the quality of these estimates.

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Vespe, Michele, Monica Posada, Guido Ferraro, and Harm Greidanus. "Perspectives on Oil Spill Detection Using Synthetic Aperture Radar." In Oceanography from Space, 131–45. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8681-5_8.

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Shi, Wenzhong. "Introduction to Urban Sensing." In Urban Informatics, 311–14. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_19.

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AbstractThis chapter overviews the urban sensing technologies for unban informatics to be introduced in the subsequent chapters under Part III of this book. To be covered is a wide range of technologies for urban sensing from the space, the air, the ground, the underground, and on individuals, including optical remote sensing, interferometric synthetic aperture radar, light detection and ranging, photogrammetry, underground sensing, mobile mapping, indoor positioning, ambient sensing, and the use of user-generated content.

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Simon-Miller, Amy A., and Nancy J. Chanover. "Planetary Astronomy: Recent Advances and Future Discoveries With Small Aperture Telescopes." In Astrophysics and Space Science Library, 673–91. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-010-0253-0_50.

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Conference papers on the topic "Sparse aperture"

1

Shao, Michael. "Sparse Aperture Space Telescopes." In Frontiers in Optics. Washington, D.C.: OSA, 2008. http://dx.doi.org/10.1364/fio.2008.stub2.

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Agrawal, Brij N., Jae Jun Kim, Jeffrey Baker, Ty Martinez, and Bautista Fernandez. "NPS sparse aperture testbed." In UV/Optical/IR Space Telescopes and Instruments: Innovative Technologies and Concepts IX, edited by James B. Breckinridge, H. Philip Stahl, and Allison A. Barto. SPIE, 2019. http://dx.doi.org/10.1117/12.2528022.

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Michael Shao, J. P. L. "Sparse Aperture Space Telescopes." In Laser Science. Washington, D.C.: OSA, 2008. http://dx.doi.org/10.1364/ls.2008.stub2.

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Tuthill, Peter, James Lloyd, Michael Ireland, Frantz Martinache, John Monnier, Henry Woodruff, Theo ten Brummelaar, Nils Turner, and Charles Townes. "Sparse-aperture adaptive optics." In SPIE Astronomical Telescopes + Instrumentation. SPIE, 2006. http://dx.doi.org/10.1117/12.672342.

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Cheetham, Anthony C., Julien Girard, Sylvestre Lacour, Guillaume Schworer, Xavier Haubois, and Jean-Luc Beuzit. "Sparse aperture masking with SPHERE." In SPIE Astronomical Telescopes + Instrumentation, edited by Fabien Malbet, Michelle J. Creech-Eakman, and Peter G. Tuthill. SPIE, 2016. http://dx.doi.org/10.1117/12.2231983.

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Brady, David J., Alexander Mrozack, and Kerikil Choi. "Sparse aperture coding for compressive sampling." In SPIE Optical Engineering + Applications, edited by Stanley Rogers, David P. Casasent, Jean J. Dolne, Thomas J. Karr, and Victor L. Gamiz. SPIE, 2010. http://dx.doi.org/10.1117/12.862159.

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Andersen, Geoff P. "Holographic sparse-aperture telescopes for space." In SPIE Astronomical Telescopes + Instrumentation, edited by John C. Mather. SPIE, 2004. http://dx.doi.org/10.1117/12.549997.

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Anitori, Laura, Wim van Rossum, and Albert Huizing. "Array aperture extrapolation using sparse reconstruction." In 2015 IEEE International Radar Conference (RadarCon). IEEE, 2015. http://dx.doi.org/10.1109/radar.2015.7131002.

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Xu, Jingwen, Yun Wang, and Xin Dong. "Wavefront measurement based on sparse aperture." In Optical Design and Testing X, edited by Rengmao Wu, Osamu Matoba, Yongtian Wang, and Tina E. Kidger. SPIE, 2020. http://dx.doi.org/10.1117/12.2573647.

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Wu, Quanying, Lin Qian, and Weimin Shen. "Image recovering for sparse-aperture systems." In Photonics Asia 2004, edited by Guoguang Mu, Francis T. S. Yu, and Suganda Jutamulia. SPIE, 2005. http://dx.doi.org/10.1117/12.575405.

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Reports on the topic "Sparse aperture"

1

Webb, Jennifer L. Topics in Synthetic Aperture Radar and Sparse Filter Design,. Fort Belvoir, VA: Defense Technical Information Center, July 1995. http://dx.doi.org/10.21236/ada299187.

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Demanet, Laurent. New Algorithms and Sparse Regularization for Synthetic Aperture Radar Imaging. Fort Belvoir, VA: Defense Technical Information Center, March 2013. http://dx.doi.org/10.21236/ada580544.

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Demanet, Laurent. New Algorithms and Sparse Regularization for Synthetic Aperture Radar Imaging. Fort Belvoir, VA: Defense Technical Information Center, October 2015. http://dx.doi.org/10.21236/ada625751.

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Dyson, F. Advantage of Base-Line Redundancy in Sparse Apertures. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada384541.

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Jao, J. K., A. F. Yegulalp, and S. Ayasli. Unified Synthetic Aperture Space Time Adaptive Radar (USASTAR) Concept. Fort Belvoir, VA: Defense Technical Information Center, May 2004. http://dx.doi.org/10.21236/ada423144.

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Hyde, R. Eyeglass Large Aperture, Lightweight Space Optics FY2000 - FY2002 LDRD Strategic Initiative. Office of Scientific and Technical Information (OSTI), February 2003. http://dx.doi.org/10.2172/15003388.

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Fawley, W. F. Space-charge dominated beam transport in magnetic quadrupoles with large aperture ratios. Office of Scientific and Technical Information (OSTI), August 1993. http://dx.doi.org/10.2172/10181938.

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Gilbreath, G. C., W. S. Rabinovich, Rita Mahon, Michael R. Corson, Mena Ferraro, D. S. Katzer, K. Ikossi-Anatasiou, Timothy Meehan, and John F. Kline. Large Aperture Quantum Well Shutters for Fast Retroreflected Optical Data Links in Free Space. Fort Belvoir, VA: Defense Technical Information Center, January 1999. http://dx.doi.org/10.21236/ada461753.

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