Academic literature on the topic 'Cover Object'

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Journal articles on the topic "Cover Object"

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Liu, Wei, Dayu Cheng, Pengcheng Yin, et al. "Small Manhole Cover Detection in Remote Sensing Imagery with Deep Convolutional Neural Networks." ISPRS International Journal of Geo-Information 8, no. 1 (2019): 49. http://dx.doi.org/10.3390/ijgi8010049.

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With the development of remote sensing technology and the advent of high-resolution images, obtaining data has become increasingly convenient. However, the acquisition of small manhole cover information still has shortcomings including low efficiency of manual surveying and high leakage rate. Recently, deep learning models, especially deep convolutional neural networks (DCNNs), have proven to be effective at object detection. However, several challenges limit the applications of DCNN in manhole cover object detection using remote sensing imagery: (1) Manhole cover objects often appear at diffe
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Sofyan, Agus. "Classification of Land Cover by Using Aerial Photo At CV. Alaska Prima Coal, Cooling Village, Sanga-Sanga Sub-district, Kutai Kartanegara District, East Kalimantan Province." AGRIFOR 17, no. 1 (2018): 1. http://dx.doi.org/10.31293/af.v17i1.3090.

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Remote sensing can be done visually and digitally. one of the advantages of airborne photography data generated by drone (phantom-3) compared to satellite imagery with optical sensitivity is its ability to obtain cloud-free images and freedom of recording time and the displayed area shows clearly defined objects corresponding to land cover. characteristics. To limit the object-based area of this research method applied is Object Based Image Analysis (OBIA).This study aims to classify land cover using highly resolved aerial photography with the help of Object Based Image Analysis (OBIA) techniq
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Pham, Lan Thi, Son Phi Nguyen, Nghia Viet Nguyen, et al. "Establishment of land cover map using object-oriented classification method for VNREDSat-1 data." Journal of Mining and Earth Sciences 61, no. 2 (2020): 134–44. http://dx.doi.org/10.46326/jmes.2020.61(2).15.

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Land cover/land use classification using high resolution remote sensing data has the biggest challenge is how to distinguish object classes from different spectral values, structures, shapes, and spatial elements. This paper reveals the object-oriented classification method to establish the land cover map using VNREDSat-1 data, with a spatial resolution of 10 m. Land cover/land use system is classified according to CORINE with level 3 with 14 types of land cover/land use. Extraction of 14 types of land cover/land use using object-oriented classification method based on reflectance spectral cha
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Le, Ha Thu Thi, Long Van Hoang, and Trung Van Nguyen. "Object-oriented classification for land cover of North Thang Long Industrial area using Worldview-2 data." Journal of Mining and Earth Sciences 62, no. 1 (2021): 10–18. http://dx.doi.org/10.46326/jmes.2021.62(1).02.

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Land cover/land use classification using high spatial resolution remote sensing data has the biggest challenge is how to distinguish object classes from different spectral values based on structures, shapes, and spatial elements. This paper focuses on the object-oriented classification method to extract artificial surface at industrial area by Worldview-2 data with a spatial resolution of 1.8 m. Extraction of 05 types of land cover/land use using object-oriented classification method based on reflectance spectral characteristics, shape index, location of objects, brightness, NDVI index, and de
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He, Jing, Gang Liu, Weile Li, Chuan Tang, and Jiayan Lu. "An evaluation approach for segmentation results of high-resolution remote sensing images based on the degree distribution of land cover networks." International Journal of Modern Physics B 32, no. 25 (2018): 1850283. http://dx.doi.org/10.1142/s0217979218502831.

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Identifying the degree distribution of land cover networks is helpful to find analytical methods for characterizing complex land cover, including segmentation techniques of remote sensing images of land cover. After segmentation, we can obtain the geographical objects and corresponding relationships. In order to evaluate the segmentation results, we introduce the concept of land cover network and present an analysis method based on statistics of its degree distribution. Considering the object-oriented segmentation and objects merge-based spectral difference segmentation, we construct the land
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Ji, X., and X. Niu. "The Attribute Accuracy Assessment of Land Cover Data in the National Geographic Conditions Survey." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-4 (April 23, 2014): 35–40. http://dx.doi.org/10.5194/isprsannals-ii-4-35-2014.

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With the widespread national survey of geographic conditions, object-based data has already became the most common data organization pattern in the area of land cover research. Assessing the accuracy of object-based land cover data is related to lots of processes of data production, such like the efficiency of inside production and the quality of final land cover data. Therefore,there are a great deal of requirements of accuracy assessment of object-based classification map. Traditional approaches for accuracy assessment in surveying and mapping are not aimed at land cover data. It is necessar
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Shelton, Michael B., and Ross L. Goldingay. "Comparative survey techniques for a cryptic Australian snake (Hoplocephalus bitorquatus)." Australian Journal of Zoology 68, no. 2 (2020): 68. http://dx.doi.org/10.1071/zo20062.

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Ecologists endeavour to develop survey techniques that are cost-effective for the species they target and robust enough for statistical analysis. Using time as a measure of effort, we compared visual encounter surveys with artificial cover objects (strapped to trees), targeting an arboreal elapid, the pale-headed snake (Hoplocephalus bitorquatus) and its potential prey (geckos). Within a red gum forest vegetation community with relatively high snake density, capture rates were 0.6 ± 0.1 (s.e.) snakes/person-hour using visual encounter surveys, compared with only 0.1 ± 0.1 snakes/person-hour us
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Mathis, Alicia. "Territoriality in a Terrestrial Salamander: the Influence of Resource Quality and Body Size." Behaviour 112, no. 3-4 (1990): 162–75. http://dx.doi.org/10.1163/156853990x00176.

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AbstractIntraspecific interference competition associated with territoriality has been documented in laboratory studies of the red-backed salamander, Plethodon cinereus. I used laboratory and field experiments to study the effect of resource quality and body size on such competition. In an experiment in southwestern Virginia, cover objects (e.g., logs) from which the resident salamanders were removed were invaded significantly more often than cover objects from which the resident salamander was not removed. These data provide the first direct test of territoriality for a salamander in a natura
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Zhou, Mengyun, and Qingfeng Guan. "A 25-Intersection Model for Representing Topological Relations between Simple Spatial Objects in 3-D Space." ISPRS International Journal of Geo-Information 8, no. 4 (2019): 182. http://dx.doi.org/10.3390/ijgi8040182.

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With the rapid development of the economy, urgent needs for 3-D Geographical Information System (GIS) have sprung up in many application fields. The precise expression of three-dimensional topological relations is the foundation of spatial analysis, topological query, and spatial reasoning in three-dimensional space. In this paper, we subdivide the topological part “boundary” into face, edge, and vertex and propose a 25-intersection model (25IM) to represent topological relations between two simple spatial objects (point, line, region, and body) in 3-D space. An object in the 25IM has five top
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Lv, ZhiYong, TongFei Liu, Jón Atli Benediktsson, Tao Lei, and YiLiang Wan. "Multi-Scale Object Histogram Distance for LCCD Using Bi-Temporal Very-High-Resolution Remote Sensing Images." Remote Sensing 10, no. 11 (2018): 1809. http://dx.doi.org/10.3390/rs10111809.

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To improve the performance of land-cover change detection (LCCD) using remote sensing images, this study utilises spatial information in an adaptive and multi-scale manner. It proposes a novel multi-scale object histogram distance (MOHD) to measure the change magnitude between bi-temporal remote sensing images. Three major steps are related to the proposed MOHD. Firstly, multi-scale objects for the post-event image are extracted through a widely used algorithm called the fractional net evaluation approach. The pixels within a segmental object are taken to construct the pairwise frequency distr
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Dissertations / Theses on the topic "Cover Object"

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Jia, Yanjing. "Object-based Land Cover Classification with Orthophoto and LIDAR Data." Thesis, KTH, Geodesi och geoinformatik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-160134.

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Image classification based on remotely sensed data is the primary domain of automatic mapping research. With the increasing of urban development, keeping geographic database updating is imminently needed. Automatic mapping of land cover types in urban area is one of the most challenging problems in remote sensing. Traditional database updating is time consuming and costly. It has usually been performed by manual observation and visual interpretation, In order to improve the efficiency as well as the accuracy, new technique in the data collection and extraction becomes increasingly necessary. T
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Gomes, da Costa Hugo Alexandre. "Integrating the user's perspective into object-based land cover mapping." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/34288/.

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Segmentation of remotely sensed data is increasingly used to create spatially connected groups of pixels, commonly called objects, which are then used as the basic spatial unit in land cover mapping via image classification. There are many methods for image segmentation, and numerous outputs are possible, so numerous that is often impractical to classify all of them and then evaluate each. For this reason accuracy assessment of image segmentation is a necessary step to select a suitable result for object-based classification, hopefully the one affording the highest possible classification accu
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Jacob, Alexander. "Radar and Optical Data Fusion for Object Based Urban Land Cover Mapping." Thesis, KTH, Geoinformatik och Geodesi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-45978.

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The creation and classification of segments for object based urban land cover mapping is the key goal of this master thesis. An algorithm based on region growing and merging was developed, implemented and tested. The synergy effects of a fused data set of SAR and optical imagery were evaluated based on the classification results. The testing was mainly performed with data of the city of Beijing China. The dataset consists of SAR and optical data and the classified land cover/use maps were evaluated using standard methods for accuracy assessment like confusion matrices, kappa values and overall
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CHAUDHARY, NAVENDU. "AN OBJECT ORIENTED APPROACH TO LAND COVER CLASSIFICATION FOR STATE OF OHIO." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1172557068.

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Magee, Kevin S. "Segmentation, Object-Oriented Applications for Remote Sensing Land Cover and Land Use Classification." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1298040118.

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De, Beyer Leigh Helen. "Integrated use of polarimetric Synthetic Aperture Radar (SAR) and optical image data for land cover mapping using an object-based approach." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/97934.

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Thesis (MA)--Stellenbosch University, 2015.<br>ENGLISH ABSTRACT: Image classification has long been used in earth observation and is driven by the need for accurate maps to develop conceptual and predictive models of Earth system processes. Synthetic aperture radar (SAR) imagery is used ever more frequently in land cover classification due to its complementary nature with optical data. There is therefore a growing need for reliable, accurate methods for using SAR and optical data together in land use and land cover classifications. However, combining data sets inevitably increases data dimensi
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Roundy, Darrell B. "Estimating Pinyon and Juniper Cover Across Utah Using NAIP Imagery." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5575.

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Expansion of Pinus L. (pinyon) and Juniperus L. (juniper) (P-J) trees into sagebrush (Artemisia L.) steppe communities can lead to negative effects on hydrology, loss of wildlife habitat, and a decrease in desirable understory vegetation. Tree reduction treatments are often implemented to mitigate these negative effects. In order to prioritize and effectively plan these treatments, rapid, accurate, and inexpensive methods are needed to estimate tree canopy cover at the landscape scale. We used object based image analysis (OBIA) software (Feature AnalystTM for ArcMap 10.1®, ENVI Feature Extra
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Hu, Hongtao. "Urban Land-cover Mapping with High-resolution Spaceborne SAR Data." Licentiate thesis, KTH, Geoinformatik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-26931.

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Urban areas around the world are changing constantly and therefore it is necessary to update urban land cover maps regularly. Remote sensing techniques have been used to monitor changes and update land-use/land-cover information in urban areas for decades. Optical imaging systems have received most of the attention in urban studies. The development of SAR applications in urban monitoring has been accelerated with more and more advanced SAR systems operating in space.   This research investigated object-based and rule-based classification methodologies for extracting urban land-cover informatio
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Niu, Xin. "Multitemporal Spaceborne Polarimetric SAR Data for Urban Land Cover Mapping." Doctoral thesis, KTH, Geodesi och geoinformatik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-104762.

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Urban land cover mapping represents one of the most important remote sensing applications in the context of rapid global urbanization. In recent years, high resolution spaceborne Polarimetric Synthetic Aperture Radar (PolSAR) has been increasingly used for urban land cover/land-use mapping, since more information could be obtained in multiple polarizations and the collection of such data is less influenced by solar illumination and weather conditions.  The overall objective of this research is to develop effective methods to extract accurate and detailed urban land cover information from space
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Porter, Sarah Ann. "Land cover study in Iowa: analysis of classification methodology and its impact on scale, accuracy, and landscape metrics." Thesis, University of Iowa, 2011. https://ir.uiowa.edu/etd/1169.

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For landscapes dominated by agriculture, land cover plays an important role in the balance between anthropogenic and natural forces. Therefore, the objective of this thesis is to describe two different methodologies that have been implemented to create high-resolution land cover classifications in a dominant agricultural landscape. First, an object-based segmentation approach will be presented, which was applied to historic, high resolution, panchromatic aerial photography. Second, a traditional per-pixel technique was applied to multi-temporal, multispectral, high resolution aerial photograph
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Books on the topic "Cover Object"

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Randle, Kevin D. Project Moon Dust: Beyond Roswell--exposing the government's continuing covert UFO investigation and cover-ups. Avon Books, 1998.

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Lewis, James R. Encyclopedia of UFOs: Abductions, crashes, cover-ups, and more. contemporary Books, 1998.

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Good, Timothy. Above top secret: The worldwide UFO cover-up. Macmillan of Canada, 1988.

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Good, Timothy. Above top secret: The worldwide UFO cover-up. Guild Publishing, 1988.

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Good, Timothy. Above top secret: The worldwide UFO cover-up. Sidgwick & Jackson, 1987.

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Good, Timothy. Above top secret: The worldwide U.F.O. cover-up. Quill, 1989.

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Don, Berliner. Crash at Corona: The U.S. military retrieval and cover-up of a UFO. 5th ed. Marlowe Co., 1997.

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Bruni, Georgina. You can't tell the people: The cover-up of Britain's Roswell. Sidgwick & Jackson, 2000.

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P, Lindsay Jeffry, ed. Dreamland: A novel of the UFO cover-up. Forge, 1995.

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Lueder, Bret. A UFO hunter's guide: Sightings, abductions, hot spots, conspiracies, cover-ups, the identified and unidentified, and more. Weiser Books, 2012.

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Book chapters on the topic "Cover Object"

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Karmakar, Nilanjana, Arindam Biswas, Partha Bhowmick, and Bhargab B. Bhattacharya. "Construction of 3D Orthogonal Cover of a Digital Object." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21073-0_9.

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Angello, Lizz. "Venus's Bush(es)." In Object Oriented Environs. punctum books, 2016. https://doi.org/10.21983/p3.0130.1.03.

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On the corner of my office laptop perches a small shrubbery made from extruded plastic: LEGO greenery, fashioned into a wedge of landscape to obscure the tiny LEGOTARDIS resting over the power button. My young son has been here. He clearly meant for his ersatz foliage to cover up the time machine, but it actually calls attention to it. It signals that something must be hiding there, something we are meant to find. “Look, look!” say the bushes, “but pretend you aren’t looking.” Real flora can function similarly, as when leaves in a bouquet direct our eyes away from unsightly stems and toward co
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Lewinski, Stanislaw, Zbigniew Bochenek, and Konrad Turlej. "Application of an Object-Oriented Method for Classification of VHR Satellite Images Using a Rule-Based Approach and Texture Measures." In Land Use and Land Cover Mapping in Europe. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-7969-3_12.

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Mastere, Mohamed, Abdelkrim Achbun, Salma El Fellah, and Bouchta El Fellah. "Multi-source Object-Based Approach for Spatio-Temporal Evolution of Land Cover." In Mapping and Spatial Analysis of Socio-economic and Environmental Indicators for Sustainable Development. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21166-0_4.

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Zhang, Junxiong, Yu Zhang, Jinyi Xie, et al. "Panoptic Semantic Mapping Method for Tomato Growing Environment Based on K-Net and OctoMap." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2409-6_18.

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Abstract In modern greenhouses, complicated tasks and unstructured environments generate the imperious demand for advanced semantic information about each object at work scenes. A significant problem that mainstream methods intend to resolve is that the refinement and understanding of environmental information cannot efficiently cover the entire task in real time. Therefore, this paper proposes a panoptic semantic mapping method to identify each object that is supposed to be concerned in greenhouses. This method builds grid maps with advanced semantic information based on RGB and depth images.
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Kennel, Maxwell. "Circus Philosophicus." In Speculations 3. punctum books, 2012. https://doi.org/10.21983/p3.0010.1.18.

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After four vivid pages spent describing “the myth of the ferris wheel” Graham Harman sets into what some have called the most accessible introduction to Object Oriented Ontology to date. At around 25,000 words in length Circus Philosophicus reads nicely in one extended sitting, and very readily yields rewards to both the specialist and non-specialist reader. Situated within Harman’s expand-ing oeuvre Circus Philosophicus is not readily comparable with any of his other work work, with the possible exception of the forthcoming Treatise on Objects (Open Humanities Press), which Harman describes a
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Van Den Eeckhaut, Miet, Norman Kerle, Javier Hervás, and Robert Supper. "Mapping of Landslides Under Dense Vegetation Cover Using Object-Oriented Analysis and LiDAR Derivatives." In Landslide Science and Practice. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31325-7_13.

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Giancarli, Pierre-Don. "Corsican DOM." In Linguistik Aktuell/Linguistics Today. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/la.280.07gia.

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After focusing in a previous work (Giancarli, 2014) on the global factors involved in the emergence of DOM in Corsican, we would like here, based on a corpus almost twice as large, to concentrate on the local factors. We identify two: the DOM-ed object is either the marker of a scanning operation or a designator. Being able to cover most of the uses in Corsican and even integrate some marginal uses, these two factors branch into four (the scanning operation can be performed with or without totalization, and designators can be rigid or flaccid) while they can at the same time be reduced to an i
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Schott, Moritz, Adina Zell, Sven Lautenbach, et al. "Analyzing and Improving the Quality and Fitness for Purpose of OpenStreetMap as Labels in Remote Sensing Applications." In Volunteered Geographic Information. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35374-1_2.

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AbstractOpenStreetMap (OSM) is a well-known example of volunteered geographic information. It has evolved to one of the most used geographic databases. As data quality of OSM is heterogeneous both in space and across different thematic domains, data quality assessment is of high importance for potential users of OSM data. As use cases differ with respect to their requirements, it is not data quality per se that is of interest for the user but fitness for purpose. We investigate the fitness for purpose of OSM to derive land-use and land-cover labels for remote sensing-based classification model
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Puligadda, Pavan, Suneetha Manne, and Durga Ramdas Raja. "Land Cover Changes Detection Based on Object-Based Image Classification Using the Google Earth Engine." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-7383-5_22.

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Conference papers on the topic "Cover Object"

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Bhavatarini, N., Noel Nivedita J, Soujanya, P. Harshavardhan Reddy, and Jairus Sam Joseph. "Land Cover and Object Detection via Hyperspectral Imaging with Volumetric CNN." In 2024 Second International Conference on Advances in Information Technology (ICAIT). IEEE, 2024. http://dx.doi.org/10.1109/icait61638.2024.10690311.

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"[Front cover]." In 2011 15th IEEE International Enterprise Distributed Object Computing Conference. IEEE, 2011. http://dx.doi.org/10.1109/edoc.2011.40.

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"[Cover art]." In 2009 IEEE International Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2009. http://dx.doi.org/10.1109/edoc.2009.35.

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"[Cover art]." In 2008 12th International IEEE Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2008. http://dx.doi.org/10.1109/edoc.2008.73.

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"Cover Page." In 2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2016. http://dx.doi.org/10.1109/edoc.2016.7579347.

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"[Front cover]." In 2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2015. http://dx.doi.org/10.1109/edoc.2015.39.

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"[Front cover]." In 2017 IEEE 21st International Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2017. http://dx.doi.org/10.1109/edoc.2017.36.

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"Cover page." In 2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW). IEEE, 2016. http://dx.doi.org/10.1109/edocw.2016.7579436.

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"[Front cover]." In 2011 15th IEEE International Enterprise Distributed Object Computing Conference Workshops. IEEE, 2011. http://dx.doi.org/10.1109/edocw.2011.69.

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"[Front cover]." In 2015 IEEE 19th International Enterprise Distributed Object Computing Workshop (EDOCW). IEEE, 2015. http://dx.doi.org/10.1109/edocw.2015.42.

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Reports on the topic "Cover Object"

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Vick, Tyler. Comparing Pixel- and Object-Based Classification Methods for Determining Land-Cover in the Gee Creek Watershed, Washington. Portland State University Library, 2000. http://dx.doi.org/10.15760/geogmaster.22.

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Clausen, Jay, Susan Frankenstein, Jason Dorvee, et al. Spatial and temporal variance of soil and meteorological properties affecting sensor performance—Phase 2. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41780.

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An approach to increasing sensor performance and detection reliability for buried objects is to better understand which physical processes are dominant under certain environmental conditions. The present effort (Phase 2) builds on our previously published prior effort (Phase 1), which examined methods of determining the probability of detection and false alarm rates using thermal infrared for buried-object detection. The study utilized a 3.05 × 3.05 m test plot in Hanover, New Hampshire. Unlike Phase 1, the current effort involved removing the soil from the test plot area, homogenizing the mat
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Zhang, Ye. Introduction to Matlab (Free 2-Hour Seminar). Instats Inc., 2024. http://dx.doi.org/10.61700/mstek9cp5r7gk1290.

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Introduction to MATLAB is a FREE short course designed to equip researchers with basic MATLAB skills, i.e., write, understand, and run commands/scripts and visualize results with the Matlab IDE. The course is useful for MATLAB novices or someone needing a refresher. It does not cover advanced topics such as toolboxes, object based programming, and HPC. Though it is the first seminar and part of the pre-requisite materials for a Geostatistics workshop Professor Zhang teaches, it can also act as a standalone tutorial for MATLAB.
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Garcia, Lyan, James Rowland, and Jeb Tingle. Evaluation of geocell-reinforced backfill for airfield pavement repair. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42550.

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After an airfield has been attacked, temporary airfield pavement repairs should be accomplished quickly to restore flight operations. Often, the repairs are made with inadequate materials and insufficient manpower due to limited available resources. Legacy airfield damage repair (ADR) methods for repairing bomb damage consist of using bomb damage debris to fill the crater, followed by placement of crushed stone or rapid-setting flowable fill backfill with a foreign object debris (FOD) cover. While these backfill methods have provided successful results, they are heavily dependent on specific m
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Kuropiatnyk, D. I. Actuality of the problem of parametric identification of a mathematical model. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2885.

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The purpose of the article is to study the possibilities of increasing the efficiency of a mathematical model by identifying the parameters of an object. A key factor for parametrization can be called the consideration of properties of the values of the model at a specific time point, which allows a deeper analysis of data dependencies and correlation between them. However, such a technique does not always work, because in advance it is impossible to predict that the parameters can be substantially optimized. In addition, it is necessary to take into account the fact that minimization reduces
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Porcel Magnusson, Cristina. Unsettled Topics Concerning Coating Detection by LiDAR in Autonomous Vehicles. SAE International, 2021. http://dx.doi.org/10.4271/epr2021002.

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Autonomous vehicles (AVs) utilize multiple devices, like high-resolution cameras and radar sensors, to interpret the driving environment and achieve full autonomy. One of these instruments—the light detection and ranging (LiDAR) sensor—utilizes pulsed infrared (IR) light, typically at wavelengths of 905 nm or 1,550 nm, to calculate object distance and position. Exterior automotive paint covers an area larger than any other exterior material. Therefore, understanding how LiDAR wavelengths interact with vehicle coatings is extremely important for the safety of future automated driving technologi
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Bécu, V., A.-A. Sappin, and S. Larmagnat. User-friendly toolkits for geoscientists: how to bring geology experts to the public. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331220.

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A growing number of countries are committed toreduce their carbon emissions and are transitioning towards renewable and clean energy sources, leading to an in crease in demand formetals and minerals. This is especially the case for a short list of what are called "critical minerals" which are considered essential to economic development, including the transition to a low-carbon economy and national security. There liability of their supply chain raises concerns considering geological scarcity, difficulty to extract and/or political factors influencing their availability. At the same time, publ
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Winkler-Portmann, Simon. Umsetzung einer wirksamen Compliance in globalen Lieferketten am Beispiel der Anforderungen aus der europäischen Chemikalien-Regulierung an die Automobilindustrie. Sonderforschungsgruppe Institutionenanalyse, 2020. http://dx.doi.org/10.46850/sofia.9783941627796.

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This publication based on a master thesis explores the challenges of the automotive industry regarding the European chemical regulations REACH and CLP, as well as potential improvements of the current compliance activities and the related incentives and barriers. It answers the research question: "To what extent should the compliance activities of actors in the automotive supply chain be extended in order to meet the requirements of European chemicals regulation; and where would it help to strengthen incentives in enforcement and the legal framework?“. The study’s structure is based on the tra
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Hunter, Fraser, and Martin Carruthers. Iron Age Scotland. Society for Antiquaries of Scotland, 2012. http://dx.doi.org/10.9750/scarf.09.2012.193.

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The main recommendations of the panel report can be summarised under five key headings:  Building blocks: The ultimate aim should be to build rich, detailed and testable narratives situated within a European context, and addressing phenomena from the longue durée to the short-term over international to local scales. Chronological control is essential to this and effective dating strategies are required to enable generation-level analysis. The ‘serendipity factor’ of archaeological work must be enhanced by recognising and getting the most out of information-rich sites as they appear. o There i
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