Relevant bibliographies by topics / Operational images

Academic literature on the topic 'Operational images'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Operational images"

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Ren, Huazhong, Chen Du, Rongyuan Liu, Qiming Qin, Guangjian Yan, Zhao-Liang Li, and Jinjie Meng. "Noise Evaluation of early images for Landsat 8 Operational Land Imager." Optics Express 22, no. 22 (October 27, 2014): 27270. http://dx.doi.org/10.1364/oe.22.027270.

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Lee, Thomas F., Steven D. Miller, Carl Schueler, and Shawn Miller. "NASA MODIS Previews NPOESS VIIRS Capabilities." Weather and Forecasting 21, no. 4 (August 1, 2006): 649–55. http://dx.doi.org/10.1175/waf935.1.

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Abstract The Visible/Infrared Imager Radiometer Suite (VIIRS), scheduled to fly on the satellites of the National Polar-orbiting Operational Environmental Satellite System, will combine the missions of the Advanced Very High Resolution Radiometer (AVHRR), which flies on current National Oceanic and Atmospheric Administration satellites, and the Operational Linescan System aboard the Defense Meteorological Satellite Program satellites. VIIRS will offer a number of improvements to weather forecasters. First, because of a sophisticated downlink and relay system, VIIRS latencies will be 30 min or less around the globe, improving the timeliness and therefore the operational usefulness of the images. Second, with 22 channels, VIIRS will offer many more products than its predecessors. As an example, a true-color simulation is shown using data from the Earth Observing System’s Moderate Resolution Imaging Spectroradiometer (MODIS), an application current geostationary imagers cannot produce because of a missing “green” wavelength channel. Third, VIIRS images will have improved quality. Through a unique pixel aggregation strategy, VIIRS pixels will not expand rapidly toward the edge of a scan like those of MODIS or AVHRR. Data will retain nearly the same resolution at the edge of the swath as at nadir. Graphs and image simulations depict the improvement in output image quality. Last, the NexSat Web site, which provides near-real-time simulations of VIIRS products, is introduced.
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McQuire, Scott. "Photography’s afterlife: Documentary images and the operational archive." Journal of Material Culture 18, no. 3 (September 2013): 223–41. http://dx.doi.org/10.1177/1359183513489930.

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Schmetz, Johannes, Kenneth Holmlund, Joel Hoffman, Bernard Strauss, Brian Mason, Volker Gaertner, Arno Koch, and Leo Van De Berg. "Operational Cloud-Motion Winds from Meteosat Infrared Images." Journal of Applied Meteorology 32, no. 7 (July 1993): 1206–25. http://dx.doi.org/10.1175/1520-0450(1993)032<1206:ocmwfm>2.0.co;2.

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Фахми, Ш. С., Н. В. Шаталова, Е. В. Костикова, and О. В. Бородина. "Algorithms of semantic operational transmission of marine images." MORSKIE INTELLEKTUAL`NYE TEHNOLOGII)</msg>, no. 4(58) (December 2, 2022): 201–7. http://dx.doi.org/10.37220/mit.2022.58.4.043.

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Беспилотные транспортные средства, дроны и автономные автомобили, получили широкое применение в повседневной жизни благодаря недавним достижениям в области робототехники и искусственного интеллекта. Наблюдение за акваториями и развитие технологий дистанционного зондирования земли (ДЗЗ) привели к острой необходимости решения задачи обнаружения и слежения за морскими судами в целях обеспечения контроля и безопасности. В последнее время стратегии обучения, относящиеся к области машинного обучения, стали нишей, представляющей интерес для специалистов по ДЗЗ, в частности, серьезной проблемой является оперативная передача видеоинформации с целью повышения ситуационной осведомленности заинтересованных служб в обеспечении контроля и безопасности в реальном времени. При этом важнейшим требованием передачи морских сюжетов является сохранение семантики изображений - пространственные объекты и взаимосвязь между ними без перехода в спектральную область сигнала. В данной работе рассмотрены новые алгоритмы структуризации визуальных данных на основе выделения опорных точек объектов изображений. Развитие технологии систем на кристалле позволило перейти от теоретического моделирования к реализации быстрых пирамидально - рекурсивных алгоритмов обработки видеоинформации. Выполнено моделирование алгоритмов передачи и оценка показателей качества видеосистем передачи изображений. Unmanned vehicles, drones and autonomous cars have been widely used in everyday life thanks to recent advances in robotics and artificial intelligence. Monitoring of water areas and the development of remote sensing technologies have led to an urgent need to solve the problem of detecting and tracking ships in order to ensure control and safety. Recently, learning strategies related to the field of machine learning have become a niche of interest for remote sensing specialists, in particular, the rapid transmission of video information in order to increase situational awareness of interested services in ensuring control and security in real time is a serious problem. At the same time, the most important requirement for the transmission of marine scenes is to preserve the semantics of images  spatial objects and the relationship between them without switching to the spectral region of the signal. In this paper, new algorithms for structuring visual data based on the selection of key points of image objects are considered. The development of system-on-a-chip technology made it possible to move from theoretical modeling to the implementation of fast pyramidal-recursive algorithms for processing video information. Modeling of transmission algorithms and evaluation of quality indicators of video image transmission systems are performed.
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Gimenez, Alba. "Distance and Implication." Film Studies 22, no. 1 (May 1, 2020): 112–28. http://dx.doi.org/10.7227/fs.22.0008.

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Harun Farocki’s Eye/Machine (2003) is a video installation which analyses how what Farocki calls ‘the operational image’ reconfigures our visual regimes. The ‘operational image’ allows machines to operate ever more autonomously and to perform their tasks with no need for human supervision. Farocki links the birth of such operational images to the missiles with integrated cameras used during the Gulf War (1991) and therefore to military purposes. Eye/Machine poses a paradox: operational images generate a process of abstraction in which the image depicted (in the case of the war, the battlefield) gets detached from its indexical dimension, appearing as abstract and unreal. However, such detachment can be reversed when these images are recontextualised and reframed within an exhibition space, since that places them within a human experiential framework. Images, and our perception of them, are part of what Judith Butler calls the ‘extended materiality of war’. Thus, war is not only fought in the battlefield, but also at the level of the senses.
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Macarof, Paul, Florian Statescu, Cristian Iulian Birlica, and Paul Gherasim. "IDENTIFICATION OF DROUGHT EXTENT BASED ON VCI USING SENTINEL DATA: A CASE STUDY OF THE EASTERN OF IAŞI COUNTY." Present Environment and Sustainable Development 13, no. 2 (October 15, 2019): 179–86. http://dx.doi.org/10.15551/pesd2019132013.

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In this study was analyzed zones affected by drought using Vegetation Condition Index (VCI), that is based on Normalized Difference Vegetation Index (NDVI). This fact, drought, is one of the most wide -spread and least understood natural phenomena. In this paper was used remote sensing (RS) data, kindly provided by The European Space Agency (ESA), namely Sentinel-2 (S-2) Multispectral Instrument (MSI) and wellkonwn images Landsat 8 Operational Land Imager (OLI). The RS images was processed in SNAP and ArcMap. Study Area, was considered the eastern of Iasi county. The main purpose of paper was to investigating if Sentinel images can be used for VCI analysis.
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Venkateswarlu, E., T. Sivannarayana, and K. V. Ratna Kumar. "A comparative analysis of Resourcesat-2 LISS-3 and Landast-8 OLI imagery." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 987–89. http://dx.doi.org/10.5194/isprsarchives-xl-8-987-2014.

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Linear Imaging Self Scanning Sensor (LISS-3) onboard Resoucesat-1 and 2 Satellites have been used extensively for various land cover-land use applications. In this study, we examined the potential of using Resourcesat-2 LISS-3 images in the absence of LANDSAT-8 Operational Land Imager (OLI) images. This paper compares the capabilities of LISS-3 sensor with OLI sensor. LISS-3 images were selected for comparison because of their close resemblance in electromagnetic spectrum range with LS-8 OLI images. Images of LS-8 OLI and RS-2 LISS-3 of the same area in Andhra Pradesh were used to evaluate the comparative performances based on the intra-inter band correlation, spectral vegetation indices and land cover classification. The results showed that in most cases the LS-8 OLI and the RS-2 LISS-3 images are comparable. This study also indicated that LISS-3 images could fill the data gaps in OLI images for land-cover studies, vice versa.
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Katamanov, S. N. "NOAA/AVHRR images navigation results in operational processing conditions." Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa 13, no. 6 (2016): 187–202. http://dx.doi.org/10.21046/2070-7401-2016-13-6-187-202.

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Bin-Saad, Maged G. "Symbolic operational images and decomposition formulas for hypergeometric functions." Journal of Mathematical Analysis and Applications 376, no. 2 (April 2011): 451–68. http://dx.doi.org/10.1016/j.jmaa.2010.10.073.

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Dissertations / Theses on the topic "Operational images"

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Saucier, Nathan (Nathan W. ). "Operational images and the interpretive turn." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113459.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Comparative Media Studies/Writing, 2017.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
"September 2017." Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 105-109).
Over the past several decades, computers have allowed for the increasingly voluminous and rapid ingest of images. These images, made for machine legibility, are called "operational images," a term coined by Harun Farocki. They are made for machines, by machines; they are not made to represent an object, but are part of an operation. Yet these operational images are only the most recent chapter in a longer history of logistical and instrumental use of images. Through the history of cartography, surveillance, and reconnaissance runs a long tale of instrumentalization, a history of calculable images primed for machine-readability. Before computers allowed for a truly "operational" image that could be harvested and interpreted independently, there were many other logistical images -- only these predecessors kept humans in the operational loop. These days, so-called deep learning allows for a new development in the operational image -- not only are humans excluded, but machines are performing inscrutable assessments; they interpret images and provide conclusions while their rationales remain opaque. These images are part of an interpretive turn. This sort of image use is difficult to demystify, confront, and confound. To contemplate effective strategies, it helps to look at the broader context of subversion of the logistical image, reaching back to early instances of artistic intervention to help inform the present and future.
by Nathan Saucier.
S.M.
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Tuner, Bunyamin. "Information operations in strategic, operational, and tactical levels of war : a balanced systematic approach." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FTuner.pdf.

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Thesis (M.S. in Systems Engineering and M.S. in Information Technology Management)--Naval Postgraduate School, September 2003.
Thesis advisor(s): Daniel Boger, Steve Iatrou. Includes bibliographical references (p. 69-71). Also available online.
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Gartzonikas, Panagiotis. "Amphibious and special operations in the Aegean Sea 1943-1945 : operational effectiveness and strategic implications." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FGartzonikas.pdf.

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Thesis (M.A. in National Security Affairs and M.S. in Defense Analysis)--Naval Postgraduate School, December 2003.
Thesis advisor(s): Douglas Porch, David Tucker. Includes bibliographical references (p. 59-61). Also available online.
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Allen, Thaddeus P. Fielden Patsy. "Improving USAF Special Tactics readiness to meet the operational demands of the USAF and US Special Operations Command (SOCOM) /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FAllen.pdf.

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Helm, Eric G. "Operational scenarios for the initial operational test and evaluation of the RAH-66 helicopter." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FHelm.pdf.

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Hutton, Claude O. "3D battlespace visualization using operational planning data." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FHutton.pdf.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, September 2003.
Thesis advisor(s): Don Brutzman, Curtis Blais. Includes bibliographical references (p. 103-104). Also available online.
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Gorman, Tadd H. "Effect of OPTEMPO on ship operational costs." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FGorman%5FMBA.pdf.

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Thesis (M.B.A.)--Naval Postgraduate School, December 2003.
[MBA professional report]. Thesis advisor(s): Kenneth Doerr, Philip Candreva. Includes bibliographical references (p. 107-108). Also available online.
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Arabnia, R. A. "Parallel algorithms for operations on digitised images." Thesis, University of Kent, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377573.

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Genz, Adrian P. "Operational Amplifier Bandwidth Extension Using Negative Capacitance Generation." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1383.pdf.

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Pelkola, Ryan James. "The European Union's headline goal : an operational assessment." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FPelkola.pdf.

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Thesis (M.A. in National Security Affairs)--Naval Postgraduate School, September 2002.
Thesis advisor(s): David S. Yost, Tjarek Roessler. Includes bibliographical references. Also available online.
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Books on the topic "Operational images"

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Chakela, Qalabane K. Report on the Seminar on Operational Use of Satellite Images in Development Planning, Gaborone, Botswana, January 26-28, 1988. Maseru, Lesotho: Co-ordination Unit, SADCC Soil and Water Conservation and Land Utilization Programme, 1988.

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Seminar, on Operational Use of Satellite Images in Development Planning (1988 Gaborone Botswana). Report on the Seminar on Operational Use of Satellite Images in Development Planning: Gaborone, Botswana, January 26-28, 1988. Maseru: Ministry of Agriculture and Marketing, 1988.

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Pease, C. B. Satellite imaging instruments: Principles, technologies and operational systems. Chichester: Wileyin association with Praxis, 1994.

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Leachtenauer, Jon C. Electronic image display: Equipment selection and operation. Bellingham, WA: SPIE Press, 2004.

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Partridge, William J. Real time image enhancement during underwater recovery operations. Monterey, Calif: Naval Postgraduate School, 1989.

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Merhav, Neri. Multiplication-free approximate algorithms for compressed domain linear operations on images. Palo Alto, CA: Hewlett-Packard Laboratories, Technical Publications Department, 1996.

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Partridge, William J. Image enhancement software for underwater recovery operations - user's manual. Monterey, Calif: Naval Postgraduate School, 1989.

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Burgess, Diane E. Multispectral Imagery: An essential tool for today's Naval operations. Monterey, Calif: Naval Postgraduate School, 1992.

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Operation beautiful for best friends. New York: Grosset & Dunlap, 2012.

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Les sous-marins de la Seconde Guerre mondiale en images. Rennes: Marines, 2010.

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Book chapters on the topic "Operational images"

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Singhroy, Vern. "Operational Applications of Radar Images." In Handbook of Satellite Applications, 739–56. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-7671-0_43.

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Singhroy, Vern. "Operational Applications of Radar Images." In Handbook of Satellite Applications, 911–28. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-23386-4_43.

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Singhroy, Vern. "Operational Applications of Radar Images." In Handbook of Satellite Applications, 1–18. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4614-6423-5_43-3.

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Tsoukas, Haridimos. "O.R. Images in Organisation Theory: A Critique." In Operational Research and the Social Sciences, 117–22. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0789-1_14.

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Lang, P., and J. Riedl. "Use of Operational Radar Images for Investigations of Convective Cells." In International Weather Radar Networking, 65–67. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2404-1_11.

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Endo, Marcos Tan, Arlindo Neto Montagnoli, and Rodrigo Nicoletti. "Operational Modal Analysis with Photo Images from Low Speed Digital Camera." In Topics in Modal Analysis I, Volume 7, 199–205. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04753-9_20.

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Thompson, Patrick W. "Images of Rate and Operational Understanding of the Fundamental Theorem of Calculus." In Learning Mathematics, 125–70. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-2057-1_5.

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Wadge, G., A. M. Cross, and C. Angelikaki. "Semi-automatic structural mapping in arid terrain from remotely sensed images." In Remote sensing: an operational technology for the mining and petroleum industries, 103–9. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-010-9744-4_10.

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Fuller, Robin M., Geoff M. Smith, and Andy G. Thomson. "Contextual Analyses of Remotely Sensed Images for the Operational Classification of Land Cover in United Kingdom." In Remote Sensing Image Analysis: Including The Spatial Domain, 271–90. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2560-0_14.

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Toriwaki, Junichiro, and Hiro Yoshida. "Models Of Images And Image Operations." In Fundamentals of Three-Dimensional Digital Image Processing, 21–47. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-173-2_2.

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Conference papers on the topic "Operational images"

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Mohamed, Ahmed, Mandefro B. Woldeamanuel, Mohamed Gouda, and Hesham Rashad. "Water Based Mud High-Resolution Resistivity Images, Innovated Operational Practices to Enhance Log Quality in Lateral Boreholes Drilled with Multiple Fluid Systems." In SPE Reservoir Characterisation and Simulation Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/212660-ms.

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Abstract Understanding how natural fractures are behaving is providing a growing knowledge about reservoir's structures and stresses, hence it becomes important to deploy high-resolution resistivity imaging service, especially in case of severe drilling fluid losses. In lateral boreholes, deployment of such service comes with its known additional operational challenges. In certain cases, drilling of these laterals starts with oil-based mud (OBM) to achieve certain objectives, then displacement with water-based mud (WBM) takes place when mud losses encountered at certain depth while drilling. Recording these sensitive measurements in such environment requires special planning for the string configuration and logging parameters optimization, and this article is explaining innovative operational practices followed to acquire high-quality image logs, and it will go through different scenarios while highlighting the potential constraints and limitations. Firstly, it is important to identify how long the borehole interval is drilled with OBM before displacement operations, as this controls the borehole conditioning process after TD and before pull-out-of-hole (POOH) for pipe-conveyed logging (PCL). It depends, so the situation is being assessed and discussed to decide the feasibility of logging operations. Afterwards, decision comes to either cancel the service request if it is confirmed that quality of data is expected to be highly degraded, or to proceed with logging operations if log quality is anticipated to be acceptable and meeting the deployment objective(s). With the latter option, clear plan of borehole conditioning procedures will be prepared, while considering an optimized tool's acquisition parameters in such mixed and challenging borehole environment. Different scenarios of complex mud environments were tested, including one case with variable WBM salinities across the logged MD interval without having any interference from any OBM during the drilling process. General conclusion is that less interval drilled with OBM pours into the benefit of obtaining higher data quality from WBM resistivity imager after less borehole conditioning time. In certain cases when longer interval was drilled with OBM, different treatment and conditioning processes resulted in accepted WBM resistivity imagers data quality. These practices of real tested cases are not granting accepted images quality all the way because of different variables like mixed fluids additives and salinities as well as borehole wall exposure time to such conditions, but they are providing sufficient awareness about how and when to expect an accepted image quality. To illustrate this conclusion, this article will also present a case where performed treatments and borehole conditioning processes were insufficient and had never produced any accepted image quality at all, which gives an insight that anticipated images quality in such scenario is considerably poor, and where to set valid cutoffs for the whole service request depending on how mixed borehole environmental conditions are. Instead of completely omitting resistivity imaging service in mixed borehole environments, these practices can beat the challenges, reduce the service limitations, and experimentally deliver accepted high-resolution resistivity images quality with clearly mapped natural fractures.
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Ochilov, Shuhrat, and David A. Clausi. "Automated Classification of Operational SAR Sea Ice Images." In 2010 Canadian Conference on Computer and Robot Vision. IEEE, 2010. http://dx.doi.org/10.1109/crv.2010.59.

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Warren, Peter, Hessein Ali, Hossein Ebrahimi, and Ranajay Ghosh. "Rapid Defect Detection and Classification in Images Using Convolutional Neural Networks." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-59801.

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Abstract Several image processing methods have been implemented over recent years to assist and partially replace on-site technician visual inspection of both manufactured parts and operational equipments. Convolutional neural networks (CNNs) have seen great success in their ability to both identify and classify anomalies within images, in some cases they do this to a higher degree of accuracy than an expert human. Several parts that are manufactured for various aspects of turbomachinery operation must undergo a visual inspection prior to qualification. Machine learning techniques can streamline these visual inspection processes and increase both efficiency and accuracy of defect detection and classification. The adoption of CNNs to manufactured part inspection can also help to improve manufacturing methods by rapidly retrieving data for overall system improvement. In this work a dataset of images with a variety of surface defects and some without defects will be fed through varying CNN set-ups for the rapid identification and classification of the flaws within the images. This work will examine the techniques used to create CNNs and how they can best be applied to part surface image data, and determine the most accurate and efficient techniques that should be implemented. By combining machine learning with non-destructive evaluation methods component health can be rapidly determined and create a more robust system for manufactured parts and operational equipment evaluation.
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Bureev, A. Sh, D. S. Zhdanov, I. Yu Zemlyakov, E. Yu Kiseleva, and L. A. Khokhlova. "A method of construction of information images of the acoustic signals of the human bronchopulmonary system." In NEW OPERATIONAL TECHNOLOGIES (NEWOT’2015): Proceedings of the 5th International Scientific Conference «New Operational Technologies». AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4936043.

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Malakhanov, R. N., and V. S. Chizhov. "APPLICATION OF NEURAL NETWORKS IN CLASSIFICATION OF LOW-QUALITY SATELLITE IMAGERY." In Aerospace instrumentation and operational technologies. Saint Petersburg State University of Aerospace Instrumentation, 2021. http://dx.doi.org/10.31799/978-5-8088-1554-4-2021-2-44-47.

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The article offers a solution to the problem of classification of low-quality images of aircraft using convolutional neural networks. To solve this problem with sufficient accuracy, an analysis of popular architectural neural networks was performed, and the process of preparing the selected algorithm at all stages was described: preprocessing test data, training the neural network, and processing the results obtained.
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Okafor, Emmanuel, Rik Smit, Lambert Schomaker, and Marco Wiering. "Operational data augmentation in classifying single aerial images of animals." In 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA). IEEE, 2017. http://dx.doi.org/10.1109/inista.2017.8001185.

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Orban, Nicolas, Shashank Garg, Mikhail Shaldaev, Chandramani Shrivastava, Guillermo Cuadros, Victor Marquinez, Adrian A, Vera Wibowo, and Ricardo Domingos. "ASSESSMENT OF NEW HIGH-DEFINITION BOREHOLE IMAGING-WHILE-DRILLING TECHNOLOGY: LEARNINGS FROM PRE-SALT CARBONATES OF BRAZIL." In 2021 SPWLA 62nd Annual Logging Symposium Online. Society of Petrophysicists and Well Log Analysts, 2021. http://dx.doi.org/10.30632/spwla-2021-0050.

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The pre-salt carbonates of Brazil pose drilling and characterization challenges associated with inherent reservoir heterogeneity; and borehole imaging while drilling often provides insights helpful for both, operational and subsequent decisions. The findings and learnings from a 3-well campaign, offshore Brazil are presented to assess and validate a recently deployed high-definition borehole imaging technology that provides industry’s first real-time ultrasonic amplitude images and time-to-depth corrections for best possible images maintaining the geological features integrity. High-definition ultrasonic measurements were acquired at two central frequencies with 0.2-in resolution and provided amplitude and transit time images for geological characterization and petrophysical evaluation in addition to azimuthal ultrasonic calipers. The lossy nature of amplitude data makes it difficult to transmit in real-time; therefore, a unique data compression technology was used to achieve industry’s first high quality amplitude images streaming while drilling. In deepwater operations acquisition of high-definition logging while drilling (LWD) images can be severely degraded if time-to-depth offset due to heave is not compensated. Recently developed heave-filtering workflows ensured the integrity of subsurface features. The time-indexed data was processed with this application in real-time, providing good results and confidence in the capability of this technology. Image-logs of the first well were helpful in interpretation and added value to the reservoir understanding; however, many intervals suffered from lack of confidence in image features. Simulations were performed to improve the images acquisition parameters based on learnings from this experience. New optimized operational parameters were applied in next two wells, resulting in image logs of excellent quality. Data from second well suffered from high heave while drilling, which required implementation of the heave-filtering memory data workflow. For the third well, an additional requirement for real-time image quality-control was defined, requiring data to be processed after every drill-stand. Real-time data quality provided confidence in optimal quality of memory data, thereby eliminating the need of post-drilling wireline operations in open-hole. The images acquired in memory helped characterize intervals of stromatolites with various morphology, and zones of vugs distribution, providing excellent alternative for wireline logging, de-risking the operations in pre-salt carbonate logging in Brazil offshore operations.
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Garzelli, Andrea, and Claudia Zoppetti. "Urban Footprint from VHR SAR Images: Toward a Fully Operational Procedure." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8518976.

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Lall, Pradeep, and Junchao Wei. "LED Chip Deformation Measurement During the Operation Using the X-Ray CT Digital Volume Correlation." In ASME 2015 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems collocated with the ASME 2015 13th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ipack2015-48785.

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A high-power LED can generate tremendous heat under the operation, which causes the LED chip undergo large deformation. LED Wire Bonds may undergo deformation because of the mismatch between the LED chip and substrate. Presently, measurements of deformation and strain in operational electronics are limited to measurement on a cut-plane using techniques including digital image correlation and moiré interferometry based techniques. There is need for tools and techniques that can help quantify the in-situ chip deformation and interconnects inside the LED. Digital Volume Correlation (DVC) has been used in conjunction with X-ray Micro-CT for three-dimensional measurement of deformation and strain in LEDs under operational stresses. The Digital Volume Correlation has been used to correlate the undeformed image with deformed images by computing correlation functions throughout each voxel. The deformed images have been generated by CT scanning over the object while the LED is operational. The correlation function computation starts at specific fixed subset window in the reference image, and searches every possible subset window in the deformed image to identify the deformation in the electronic structure. Once the displacement components have been derived, the strain components have been computed by calculating the gradients of the displacement field. In this paper, the full strain field, both in-plane and out-plane strain, will be presented, and the LED chip deformation shape will be analyzed.
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Tripodi, Sebastien, Liuyun Duan, Veronique Poujade, Frederic Trastour, Jean-Philippe Bauchet, Lionel Laurore, and Yuliya Tarabalka. "Operational Pipeline for Large-Scale 3D Reconstruction of Buildings From Satellite Images." In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020. http://dx.doi.org/10.1109/igarss39084.2020.9324213.

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Reports on the topic "Operational images"

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Olivier, Jason, and Sally Shoop. Imagery classification for autonomous ground vehicle mobility in cold weather environments. Engineer Research and Development Center (U.S.), November 2021. http://dx.doi.org/10.21079/11681/42425.

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Autonomous ground vehicle (AGV) research for military applications is important for developing ways to remove soldiers from harm’s way. Current AGV research tends toward operations in warm climates and this leaves the vehicle at risk of failing in cold climates. To ensure AGVs can fulfill a military vehicle’s role of being able to operate on- or off-road in all conditions, consideration needs to be given to terrain of all types to inform the on-board machine learning algorithms. This research aims to correlate real-time vehicle performance data with snow and ice surfaces derived from multispectral imagery with the goal of aiding in the development of a truly all-terrain AGV. Using the image data that correlated most closely to vehicle performance the images were classified into terrain units of most interest to mobility. The best image classification results were obtained when using Short Wave InfraRed (SWIR) band values and a supervised classification scheme, resulting in over 95% accuracy.
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Bhatt, Parth, Curtis Edson, and Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, September 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.

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Imagery collected via Unmanned Aerial System (UAS) platforms has become popular in recent years due to improvements in a Digital Single-Lens Reflex (DSLR) camera (centimeter and sub-centimeter), lower operation costs as compared to human piloted aircraft, and the ability to collect data over areas with limited ground access. Many different application (e.g., forestry, agriculture, geology, archaeology) are already using and utilizing the advantages of UAS data. Although, there are numerous UAS image processing workflows, for each application the approach can be different. In this study, we developed a processing workflow of UAS imagery collected in a dense forest (e.g., coniferous/deciduous forest and contiguous wetlands) area allowing users to process large datasets with acceptable mosaicking and georeferencing errors. Imagery was acquired with near-infrared (NIR) and red, green, blue (RGB) cameras with no ground control points. Image quality of two different UAS collection platforms were observed. Agisoft Metashape, a photogrammetric suite, which uses SfM (Structure from Motion) techniques, was used to process the imagery. The results showed that an UAS having a consumer grade Global Navigation Satellite System (GNSS) onboard had better image alignment than an UAS with lower quality GNSS.
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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Feature and Content Layer, intended to contain image visual features such as contours, shapes,etc.; (2) Object Layer, which provides the (conceptual) content dimension of images; and (3) Schema Layer, which contains the structured abstractions of images, i.e., a general schema about the classes of objects represented in the object layer. We propose two abstract languages on the basis of description logics: one for describing knowledge of the object and schema layers, and the other, more expressive, for making queries. Queries can refer to the form dimension (i.e., information of the Feature and Content Layer) or to the content dimension (i.e., information of the Object Layer). These languages employ a variable free notation, and they are well suited for the design, verification and complexity analysis of algorithms. As the amount of information contained in the previous layers may be huge and operations performed at the Feature and Content Layer are time-consuming, resorting to the use of materialized views to process and optimize queries may be extremely useful. For that, we propose a formal framework for testing containment of a query in a view expressed in our query language. The algorithm we propose is sound and complete and relatively efficient.
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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Feature and Content Layer, intended to contain image visual features such as contours, shapes,etc.; (2) Object Layer, which provides the (conceptual) content dimension of images; and (3) Schema Layer, which contains the structured abstractions of images, i.e., a general schema about the classes of objects represented in the object layer. We propose two abstract languages on the basis of description logics: one for describing knowledge of the object and schema layers, and the other, more expressive, for making queries. Queries can refer to the form dimension (i.e., information of the Feature and Content Layer) or to the content dimension (i.e., information of the Object Layer). These languages employ a variable free notation, and they are well suited for the design, verification and complexity analysis of algorithms. As the amount of information contained in the previous layers may be huge and operations performed at the Feature and Content Layer are time-consuming, resorting to the use of materialized views to process and optimize queries may be extremely useful. For that, we propose a formal framework for testing containment of a query in a view expressed in our query language. The algorithm we propose is sound and complete and relatively efficient.
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Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

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Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no major revisions in the overall objective, however, several revisions were made on the specific objectives. The revised specific objectives were: (1) to develop a yield mapping system for a static situation, using color and thermal imaging independently, (2) to integrate color and thermal imaging for improved yield estimation by combining thermal images with color images to improve fruit detection, and (3) to expand the system to an autonomous mobile platform for a continuous-measure situation. Background, major conclusions, solutions and achievements -- Yield mapping is considered as an initial step for applying precision agriculture technologies. Although many yield mapping systems have been developed for agronomic crops, it remains a difficult task for mapping yield of tree crops. In this project, an autonomous immature fruit yield mapping system was developed. The system could detect and count the number of fruit at early growth stages of citrus fruit so that farmers could apply site-specific management based on the maps. There were two sub-systems, a navigation system and an imaging system. Robot Operating System (ROS) was the backbone for developing the navigation system using an unmanned ground vehicle (UGV). An inertial measurement unit (IMU), wheel encoders and a GPS were integrated using an extended Kalman filter to provide reliable and accurate localization information. A LiDAR was added to support simultaneous localization and mapping (SLAM) algorithms. The color camera on a Microsoft Kinect was used to detect citrus trees and a new machine vision algorithm was developed to enable autonomous navigations in the citrus grove. A multimodal imaging system, which consisted of two color cameras and a thermal camera, was carried by the vehicle for video acquisitions. A novel image registration method was developed for combining color and thermal images and matching fruit in both images which achieved pixel-level accuracy. A new Color- Thermal Combined Probability (CTCP) algorithm was created to effectively fuse information from the color and thermal images to classify potential image regions into fruit and non-fruit classes. Algorithms were also developed to integrate image registration, information fusion and fruit classification and detection into a single step for real-time processing. The imaging system achieved a precision rate of 95.5% and a recall rate of 90.4% on immature green citrus fruit detection which was a great improvement compared to previous studies. Implications – The development of the immature green fruit yield mapping system will help farmers make early decisions for planning operations and marketing so high yield and profit can be achieved.
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Dreyer, Jonathan G., Morgan T. Burks, and Dave Trombino. GeGI (Germanium Gamma Imager) Performance: Maritime Interdiction Operation. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1169834.

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Wu, Jin Chu, Alvin F. Martin, and Raghu Kacker. Hypothesis test of fingerprint-image matching algorithms in operational ROC analysis. Gaithersburg, MD: National Institute of Standards and Technology, 2009. http://dx.doi.org/10.6028/nist.ir.7586.

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Byron, B. D. ,. Westinghouse Hanford. Visual Image Digital Object Network (VIDON) operations test report. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/296584.

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Byron, B. D. ,. Westinghouse Hanford. Visual Image Digital Object Network (VIDON) operations test plan. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/325146.

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Phillips, N. M. Pollution prevention opportunity assessment for network operations` digital photo imagers. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/10117727.

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