Academic literature on the topic 'Archaeological data processing'

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Journal articles on the topic "Archaeological data processing"

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Mikhailova, V. S., N. G. Grafeeva, E. G. Mikhailova, and A. V. Chudin. "Magnetometry data processing to detect archaeological sites." Pattern Recognition and Image Analysis 26, no. 4 (2016): 789–99. http://dx.doi.org/10.1134/s1054661816040106.

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Blakely, Jeffrey A., Robert Brinkmann, and Charles J. Vitaliano. "Pompeian red ware: Processing archaeological ceramic data." Geoarchaeology 4, no. 3 (1989): 201–28. http://dx.doi.org/10.1002/gea.3340040302.

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Bornik, Alexander, and Wolfgang Neubauer. "3D Visualization Techniques for Analysis and Archaeological Interpretation of GPR Data." Remote Sensing 14, no. 7 (2022): 1709. http://dx.doi.org/10.3390/rs14071709.

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The non-invasive detection and digital documentation of buried archaeological heritage by means of geophysical prospection is increasingly gaining importance in modern field archaeology and archaeological heritage management. It frequently provides the detailed information required for heritage protection or targeted further archaeological research. High-resolution magnetometry and ground-penetrating radar (GPR) became invaluable tools for the efficient and comprehensive non-invasive exploration of complete archaeological sites and archaeological landscapes. The analysis and detailed archaeolo
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Scollar, Irwin, Bernd Weidner, and Karel Segeth. "Display of archaeological magnetic data." GEOPHYSICS 51, no. 3 (1986): 623–33. http://dx.doi.org/10.1190/1.1442116.

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Magnetic data from archaeological sites have traditionally been displayed by contour, isometric, and dot‐density plotting, or by simulated gray‐scale techniques using symbol overprinting. These methods do not show fine linear structures in the data which are of great interest to archaeologists. If true gray‐scale methods using a modern video display, followed by film recording for hard copy are employed, image processing techniques can be applied to enhance the geometric structures of archaeological interest. Interpolation techniques for enlarging data to full screen size, along with compressi
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Previtali, Mattia, and Riccardo Valente. "Archaeological documentation and data sharing: digital surveying and open data approach applied to archaeological fieldworks." Virtual Archaeology Review 10, no. 20 (2019): 17. http://dx.doi.org/10.4995/var.2019.10377.

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<p>The open data paradigm is changing the research approach in many fields such as remote sensing and the social sciences. This is supported by governmental decisions and policies that are boosting the open data wave, and in this context archaeology is also affected by this new trend. In many countries, archaeological data are still protected or only limited access is allowed. However, the strong political and economic support for the publication of government data as open data will change the accessibility and disciplinary expertise in the archaeological field too. In order to maximize
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Lozić, Edisa, and Benjamin Štular. "Documentation of Archaeology-Specific Workflow for Airborne LiDAR Data Processing." Geosciences 11, no. 1 (2021): 26. http://dx.doi.org/10.3390/geosciences11010026.

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Airborne LiDAR is a widely accepted tool for archaeological prospection. Over the last decade an archaeology-specific data processing workflow has been evolving, ranging from raw data acquisition and processing, point cloud processing and product derivation to archaeological interpretation, dissemination and archiving. Currently, though, there is no agreement on the specific steps or terminology. This workflow is an interpretative knowledge production process that must be documented as such to ensure the intellectual transparency and accountability required for evidence-based archaeological in
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Manataki, Merope, Antonis Vafidis, and Apostolos Sarris. "GPR Data Interpretation Approaches in Archaeological Prospection." Applied Sciences 11, no. 16 (2021): 7531. http://dx.doi.org/10.3390/app11167531.

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This article focuses on the possible drawbacks and pitfalls in the GPR data interpretation process commonly followed by most GPR practitioners in archaeological prospection. Standard processing techniques aim to remove some noise, enhance reflections of the subsurface. Next, one has to calculate the instantaneous envelope and produce C-scans which are 2D amplitude maps showing high reflectivity surfaces. These amplitude maps are mainly used for data interpretation and provide a good insight into the subsurface but cannot fully describe it. The main limitations are discussed while studies aimin
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Gaboutchian, A. V., V. A. Knyaz, N. A. Leybova, et al. "3D RECONSTRUCTION AND IMAGE PROCESSING OF ANTHROPOLOGICAL ARCHAEOLOGICAL FINDINGS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 845–50. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-845-2020.

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Abstract. A wide variety of methods are used in archaeological research today, including 3D imaging techniques (photogrammetry) which are involved at different stages starting from explorations preceding excavation to multiple studies. The archaeologically obtained material includes anthropological findings, among which odontological (related to human teeth) are of interest as they are composed of resistible tissues (hence are preserved well) and can serve for biological as well as historical interpretations. However, among the methods employed in odontological studies some are destructive and
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Küçükdemirci, Melda, and Apostolos Sarris. "GPR Data Processing and Interpretation Based on Artificial Intelligence Approaches: Future Perspectives for Archaeological Prospection." Remote Sensing 14, no. 14 (2022): 3377. http://dx.doi.org/10.3390/rs14143377.

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Ground penetrating radar (GPR) is a well-established technique used in archaeological prospection and it requires a number of specialized routines for signal and image processing to enhance the data acquired and lead towards a better interpretation of them. Computer-aided techniques have advanced the interpretation of GPR data, dealing with a wide range of operations aiming towards locating, imaging, and diagnosis/interpretation. This article will discuss the novel and recent applications of machine learning (ML) and deep learning (DL) techniques, under the artificial intelligence umbrella, fo
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Brooke, Christopher, and Ben Clutterbuck. "Mapping Heterogeneous Buried Archaeological Features Using Multisensor Data from Unmanned Aerial Vehicles." Remote Sensing 12, no. 1 (2019): 41. http://dx.doi.org/10.3390/rs12010041.

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There is a long history of the use of aerial imagery for archaeological research, but the application of multisensor image data has only recently been facilitated by the development of unmanned aerial vehicles (UAVs). Two archaeological sites in the East Midlands U.K. that differ in age and topography were selected for survey using multisensor imaging from a fixed-wing UAV. The aim of this study was to determine optimum methodology for the use of UAVs in examining archaeological sites that have no obvious surface features and examine issues of ground control target design, thermal effects, ima
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Dissertations / Theses on the topic "Archaeological data processing"

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Booth, Adam David. "Acquisition and Processing of Three-Dimensional, Multi-Offset Archaeological Ground Penetrating Radar Data." Thesis, University of Plymouth, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494128.

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Griesbach, Christopher James. "Improving LiDAR Data Post-Processing Techniques for Archaeological Site Management and Analysis: A Case Study from Canaveral National Seashore Park." Scholar Commons, 2015. https://scholarcommons.usf.edu/etd/5491.

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Methods used to process raw Light Detection and Ranging (LiDAR) data can sometimes obscure the digital signatures indicative of an archaeological site. This thesis explains the negative effects that certain LiDAR data processing procedures can have on the preservation of an archaeological site. This thesis also presents methods for effectively integrating LiDAR with other forms of mapping data in a Geographic Information Systems (GIS) environment in order to improve LiDAR archaeological signatures by examining several pre-Columbian Native American shell middens located in Canaveral National Se
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Mamoli, Myrsini. "Towards of a theory of reconstructing ancient libraries." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/51779.

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The library was one of the most important institutions in the Hellenistic and Roman city, as evidenced in the writings of ancient authors, and the building remains of libraries found throughout the Greco-Roman world, from Asia Minor to France and from Africa to Northern Greece. Yet, the library remains one of the least easily identifiable building forms and one of the most difficult to reconstruct, because unlike architectural types such as the temple, stoa, or theater, the library exhibits significant variety in design, scale and monumentality and the use of different component elements. In r
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CHIAZZA, Maria Antonella. "CONOSCENZA E CONSERVAZIONE. PROSPETTIVE PER LE DOMUS DI PIAZZA DELLA VITTORIA A PALERMO." Doctoral thesis, Università degli Studi di Palermo, 2014. http://hdl.handle.net/10447/91211.

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Il tema di ricerca possiede un carattere multidisciplinare, coinvolge ampi settori e, con un approccio metodologico di tipo olistico, mette in evidenza le complessità storiche, artistiche, architettoniche, archeologiche e urbanistiche, tenendo conto delle differenti implicazioni sul piano sia tecnologico che museografico. Il caso di studio scelto, per elaborare una strategia d’intervento e riproponibile in altri contesti, è costituito dalle Domus di Piazza della Vittoria a Palermo, un exemplum di complesso residenziale unico nell’ambito della città, arricchito dalla presenza di importanti mosa
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Punke, Michele Leigh. "Predictive locational modeling of late Pleistocene archaeological sites on the southern Oregon Coast using a Geographic Information System (GIS)." Thesis, 2001. http://hdl.handle.net/1957/28949.

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The search for archaeological materials dating to 15,000 yr BP along the southern Oregon coast is a formidable task. Using ethnographic, theoretical, and archaeological data, landscape resources which would have influenced land-use and occupation location decisions in the past are highlighted. Additionally, environmental data pertaining to the late Pleistocene is examined to determine what landscape features may have been used by human groups 15,000 years ago and to determine how these landscape features may have changed since that time. These landscape resource features are included in the mo
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Ninje, Douglas Joster. "Treatment, processing and interpretation of data acquired from the archaeological site of Castro de Ul, Northern Portugal." Master's thesis, 2017. https://repositorio-aberto.up.pt/handle/10216/107729.

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Ninje, Douglas Joster. "Treatment, processing and interpretation of data acquired from the archaeological site of Castro de Ul, Northern Portugal." Dissertação, 2017. https://repositorio-aberto.up.pt/handle/10216/107729.

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Kelly, Cara McCulley. "Prehistoric land-use patterns in the North Santiam subbasin on the western slopes of the Oregon Cascade Range." Thesis, 2001. http://hdl.handle.net/1957/34283.

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This thesis examines prehistoric land use patterns of the entire North Santiam subbasin, located on the western slopes of the Oregon Cascade Range. The objective of this analysis is three-fold: 1) to contribute to reconstructing the cultural chronology of the area; 2) to address the use of raw material by local hunter-gatherers and how raw material can be used to reconstruct the seasonal procurement ranges for these groups; and 3) to model the adaptive strategies of the prehistoric inhabitants of the North Santiam subbasin. The adaptive strategies of hunter-gatherer groups in the North Santiam
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Books on the topic "Archaeological data processing"

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1965-, Wheatley David, Earl Graeme, Poppy Sarah, and Computer Applications and Quantitative Methods in Archaeology (Organization). U.K. Chapter., eds. Contemporary themes in archaeological computing. Oxbow Books, 2002.

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A, Cooper M., Richards J. D, University of Birmingham. Dept. of Extramural Studies., Birmingham University Field Archaeology Unit., Institute of Field Archaeologists, and Conference on Techniques of Archaeological Excavation (3rd : 1984 : Birmingham, England), eds. Current issues in archaeological computing. B.A.R., 1985.

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Thinking beyond the tool: Archaeological computing and the interpretive process. Archaeopress, 2012.

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Carmen, Olaria de Gusi, ed. El dibujo arqueológico: El tratamiento informatizado de la documentación gráfica : normalización de convenciones gráficas aplicadas a las intervenciones arqueológicas. Denboraren Argia, 2012.

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Group, Canadian Heritage Information Network Documentation Research. Archaeological sites data dictionary of the Canadian Heritage Information Network. Documentation Research Group, 1994.

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G, Maschner Herbert D., Southern Illinois University at Carbondale. Center for Archaeological Investigations., and Visiting Scholar Conference (10th : 1993 : Southern Illinois University at Carbondale), eds. New methods, old problems: Geographic information systems in modern archaeological research. Center for Archaeological Investigations, Southern Illinois University at Carbondale, 1996.

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White, Devin Alan. Least cost analysis of social landscapes: Archaeological case studies. University of Utah Press, 2012.

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David, Wheatley, and Leonardo García Sanjuán. Mapping the future of the past: Managing the spatial dimension of the European archaeological resource. Edited by Instituto Andaluz del Patrimonio Histórico. Universidad de Sevilla, 2002.

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Kristov, Ivan. Arkheologicheskoto bogatstvo na Troi︠a︡nskii︠a︡ kraĭ: The archaeological wealth in the region of Troyan. Unicart, 2019.

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Mark, Mehrer, and Wescott Konnie, eds. GIS and archaeological site location modeling. Taylor & Francis, 2005.

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Book chapters on the topic "Archaeological data processing"

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Lasaponara, Rosa, and Nicola Masini. "On the Processing of Aerial LiDAR Data for Supporting Enhancement, Interpretation and Mapping of Archaeological Features." In Computational Science and Its Applications - ICCSA 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21887-3_31.

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Panisova, J., M. Fraštia, T. Wunderlich, and R. Pašteka. "DIGITAL PHOTOGRAMMETRY IN MICROGRAVITY DATA PROCESSING:." In Archaeological Prospection. Verlag der österreichischen Akademie der Wissenschaften, 2013. http://dx.doi.org/10.2307/j.ctvjsf630.125.

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Kalaycı, Tuna. "Processing and Analysing Satellite Data." In Archaeological Spatial Analysis. Routledge, 2020. http://dx.doi.org/10.4324/9781351243858-19.

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Sarris, Apostolos. "Processing and Analysing Geophysical Data." In Archaeological Spatial Analysis. Routledge, 2020. http://dx.doi.org/10.4324/9781351243858-20.

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Löcker, K., E. Baldwin, W. Neubauer, et al. "THE STONEHENGE HIDDEN LANDSCAPE PROJECT – DATA ACQUISITION, PROCESSING, INTERPRETATION." In Archaeological Prospection. Verlag der österreichischen Akademie der Wissenschaften, 2013. http://dx.doi.org/10.2307/j.ctvjsf630.42.

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Linford, N. "RAPID PROCESSING OF GPR TIME SLICES FOR DATA VISUALISATION DURING FIELD ACQUISITION." In Archaeological Prospection. Verlag der österreichischen Akademie der Wissenschaften, 2013. http://dx.doi.org/10.2307/j.ctvjsf630.66.

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Jaulneau, Cynthia. "From Observation to Interpretation." In E-Learning Methodologies and Computer Applications in Archaeology. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-759-1.ch006.

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This chapter underlines the necessity of establishing a carefully thought-out method to answer precise questions. We will also use this opportunity to discuss the possibilities and difficulties generated by the use of computers to record and process data from archaeological excavations. Which reflections lead the archaeologist to use a particular tool? The amount of data-processing software for the treatment of various types of information (word processing, spreadcards, CAD, data bases, GIS, etc.) is continuously growing and developing. While it is obvious that the use of certain software facilitates the analysis of archaeological data (up to the point where it becomes essential to the archaeologist), is it also necessary to constantly adapt archaeological data processing methods to the use of new software?
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Sáez Romero, Antonio M. "Fish processing and salted-fish trade in the Punic West: New archaeological data and historical evolution." In Fish & Ships. Publications du Centre Camille Jullian, 2014. http://dx.doi.org/10.4000/books.pccj.1711.

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Corsi, Cristina. "GIS Use in Landscape Archaeology." In Encyclopedia of Information Communication Technology. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-845-1.ch045.

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Information technologies (ITs) entered and irreversibly changed the discipline of archaeology during the last 20 years of the second millennium. The first experiments involved databases and alphanumeric data processing, then in the late 1980s GPS technologies, associated with spatial data processing, were first tested to locate archaeological objects in the geographical space. Computer-aided design (CAD) software has progressively replaced the traditional procedures of topographical and architectural design, while “New Archaeology” and “Processual Archaeology” focusing their attention on the quantitative aspects of phenomena (Binford, 1989; Binford & Binford, 1968; Clarke, 1968; Clarke, 1977) adopted “spatial technologies”, consisting of computer-based applications concerned with the acquisition, storage and manipulation of spatial information (Wheatley & Gillings, 2002).
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Altman, Heidi M., Tanya M. Peres, and J. Matthew Compton. "Better than Butter." In Bears. University Press of Florida, 2020. http://dx.doi.org/10.5744/florida/9781683401384.003.0009.

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Bears are central figures in Cherokee oral history, folk tales, and traditional arts. However, bear grease was also crucial to pre-colonial Cherokee foodways and economies, and persisted as an element of both well into the twentieth century. This chapter explores the relationships between bears as cultural icons and the use of their fat for fuel, flavor, and trade. In contemporary times there is disagreement among community members about whether the consumption of bear meat is culturally prohibited, but there is wide agreement that bear grease is an essential part of traditional foodways. Archaeological data from Cherokee-identified sites from the Mississippi period (ca. AD 1000) to the mid-nineteenth century are examined for evidence of the use of bear fat in the past. These data sets indicate that when bears are present at Cherokee sites, typically only a small subset of skeletal elements are present. These elements include the remains of the paws and skull, a pattern that does not suggest the regular consumption of meat, but does correlate with the field processing of bears for fat and hide removal in the field.
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Conference papers on the topic "Archaeological data processing"

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Grafeeva, Natalia. "MAGNETOMETRY DATA PROCESSING TO DETECT ARCHAEOLOGICAL SITES." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/21/s07.050.

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Piro, S., and A. Godio. "Integrated data processing of archaeological magnetic surveys." In 9th EAGE/EEGS Meeting. European Association of Geoscientists & Engineers, 2003. http://dx.doi.org/10.3997/2214-4609.201414613.

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Chibunichev, Alexander G., Denis V. Zhuravlev, and Vladimir A. Knyaz. "Multisource data fusion for documenting archaeological sites." In Image and Signal Processing for Remote Sensing, edited by Lorenzo Bruzzone, Francesca Bovolo, and Jon Atli Benediktsson. SPIE, 2017. http://dx.doi.org/10.1117/12.2278736.

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Carlotto, Mark J. "Archaeological dating using a data fusion approach." In Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, edited by Lynne L. Grewe, Erik P. Blasch, and Ivan Kadar. SPIE, 2019. http://dx.doi.org/10.1117/12.2520130.

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Torrejón Valdelomar, Juan, Mario Wallner, Immo Trinks, et al. "BIG DATA IN LANDSCAPE ARCHAEOLOGICAL PROSPECTION." In ARQUEOLÓGICA 2.0 - 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation. Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/arqueologica8.2016.4200.

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While traditionally archaeological research has mainly been focused on individual cultural heritage monuments or distinct archaeological sites, the Austrian based Ludwig Boltzmann Institute for Archaeological Prospection and Virtual Archaeology goes beyond the limitations of discrete sites in order to understand their archaeological context. This is achieved by investigating the space in-between the sites, studying entire archaeological landscapes from the level of individual postholes to the mapping of numerous square kilometres. This large-scale, high-resolution, multi-method prospection app
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V. Herwanger, J., H. R. Maurer, J. Leckebusch, and A. G. Green. "Acquisition, processing and inversion of magnetic data in archaeological prospecting." In 3rd EEGS Meeting. European Association of Geoscientists & Engineers, 1997. http://dx.doi.org/10.3997/2214-4609.201407381.

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Lijun, Yu, Nie Yueping, Liu Fang, Zhu Jianfeng, Yao Yueyin, and Gao Huaguang. "Research on data fusion method for archaeological site identification." In 2012 International Conference on Image Analysis and Signal Processing (IASP). IEEE, 2012. http://dx.doi.org/10.1109/iasp.2012.6425068.

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Nikolov, Hristo, and Mila S. Atanasova-Zlatareva. "Obtaining ground deformations by multitemporal DInSAR processing in vicinity of archaeological site “Solnitsata-Provadia”." In Microwave Remote Sensing: Data Processing and Applications, edited by Claudia Notarnicola, Nazzareno Pierdicca, Fabio Bovenga, and Emanuele Santi. SPIE, 2021. http://dx.doi.org/10.1117/12.2599762.

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Mara, Hubert, and Robert Sablatnig. "Orientation of Fragments of Rotationally Symmetrical 3D-Shapes for Archaeological Documentation." In Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06). IEEE, 2006. http://dx.doi.org/10.1109/3dpvt.2006.105.

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Sala, Jacopo, and Neil Linford. "Processing stepped frequency continuous wave GPR systems to obtain maximum value from archaeological data sets." In 2010 13th International Conference on Ground Penetrating Radar (GPR 2010). IEEE, 2010. http://dx.doi.org/10.1109/icgpr.2010.5550093.

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