Relevant bibliographies by topics / Imagerie Subsalt

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Imagerie Subsalt'

Author: Grafiati
Published: 8 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Imagerie Subsalt"

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Wang, Lin, Hisao-Chi Li, Bai Xue, and Chein-I. Chang. "Constrained Band Subset Selection for Hyperspectral Imagery." IEEE Geoscience and Remote Sensing Letters 14, no. 11 (2017): 2032–36. http://dx.doi.org/10.1109/lgrs.2017.2749209.

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Wang, Lin, Chein-I. Chang, Li-Chien Lee, et al. "Band Subset Selection for Anomaly Detection in Hyperspectral Imagery." IEEE Transactions on Geoscience and Remote Sensing 55, no. 9 (2017): 4887–98. http://dx.doi.org/10.1109/tgrs.2017.2681278.

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Zhao, Yong-Qiang, Lei Zhang, and Seong G. Kong. "Band-Subset-Based Clustering and Fusion for Hyperspectral Imagery Classification." IEEE Transactions on Geoscience and Remote Sensing 49, no. 2 (2011): 747–56. http://dx.doi.org/10.1109/tgrs.2010.2059707.

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Morenikeji, G. B., O. O. Idowu, B. M. Adeleye, O. R. Bankole, and T. W. Anjide. "Effects of Population Increase on Peri-Urban Land Growth in Asa Local Government Area, Kwara State." Environmental Technology and Science Journal 14, no. 1 (2023): 180–88. http://dx.doi.org/10.4314/etsj.v14i1.19.

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The rapid growth of world population and its agglomeration in cities and towns around the world is affecting the longterm outlook for humanity, in such that the process of urban growth and the effect at the peri-urban areas are universal, occurring all over the world. This study aimed at assessing the effects of population increase on the growth of periurban land in Asa local government area, Kwara State. Secondary data, via satellite imageries covering 2000, 2010 and 2021 were mainly used in analyzing the changes that occurred within twenty years. Remote sensing and GIS approaches to satellit
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Williams, Sarah E., and Jennifer Cumming. "Measuring Athlete Imagery Ability: The Sport Imagery Ability Questionnaire." Journal of Sport and Exercise Psychology 33, no. 3 (2011): 416–40. http://dx.doi.org/10.1123/jsep.33.3.416.

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This research aimed to develop and provide initial validation of the Sport Imagery Ability Questionnaire (SIAQ). The SIAQ assesses athletes’ ease of imaging different types of imagery content. Following an extensive pilot study, 375 athletes completed a 20-item SIAQ in Study 1. Exploratory factor analysis revealed a 4-factor model assessing skill, strategy, goal, and affect imagery ability. Confirmatory factor analysis (CFA) established this 4-factor structure in Study 2 (N = 363 athletes). In Study 3 (N = 438 athletes), additional items were added to create a fifth mastery imagery subscale th
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Liu, Yufei, Xiaorun Li, Ziqiang Hua, and Liaoying Zhao. "EBARec-BS: Effective Band Attention Reconstruction Network for Hyperspectral Imagery Band Selection." Remote Sensing 13, no. 18 (2021): 3602. http://dx.doi.org/10.3390/rs13183602.

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Hyperspectral band selection (BS) is an effective means to avoid the Hughes phenomenon and heavy computational burden in hyperspectral image processing. However, most of the existing BS methods fail to fully consider the interaction between spectral bands and cannot comprehensively consider the representativeness and redundancy of the selected band subset. To solve these problems, we propose an unsupervised effective band attention reconstruction framework for band selection (EBARec-BS) in this article. The framework utilizes the EBARec network to learn the representativeness of each band to t
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Di, Wei, Quan Pan, Yong-qiang Zhao, and Lin He. "Anomaly Target Detection in Hyperspectral Imagery Based on Band Subset Fusion by Fuzzy Integral." Journal of Electronics & Information Technology 30, no. 2 (2011): 267–71. http://dx.doi.org/10.3724/sp.j.1146.2006.01140.

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Corlett, John T., John Anton, Steve Kozub, and Michel Tardif. "Is Locomotor Distance Estimation Guided by Visual Imagery?" Perceptual and Motor Skills 69, no. 3_suppl (1989): 1267–72. http://dx.doi.org/10.2466/pms.1989.69.3f.1267.

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70 subjects were tested for their visual subscale scores on the Movement Imagery Questionnaire and also for their ability to walk, without vision, to a previously viewed target location 9 m away. Imagery ability was hypothesized to correlate with accuracy of “blind” target-directed walking which the literature suggests, without empirical support, is imagery-dependent. No support for this hypothesis was found. Low, medium, and high imagers showed no differences in ability to reproduce target distance accurately or consistently by walking the estimated distance without further visual updating. T
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Corlett, John T., John Anton, Steve Kozub, and Michel Tardif. "Is Locomotor Distance Estimation Guided by Visual Imagery?" Perceptual and Motor Skills 69, no. 3-2 (1989): 1267–72. http://dx.doi.org/10.1177/00315125890693-237.

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70 subjects were tested for their visual subscale scores on the Movement Imagery Questionnaire and also for their ability to walk, without vision, to a previously viewed target location 9 m away. Imagery ability was hypothesized to correlate with accuracy of “blind” target-directed walking which the literature suggests, without empirical support, is imagery-dependent. No support for this hypothesis was found. Low, medium, and high imagers showed no differences in ability to reproduce target distance accurately or consistently by walking the estimated distance without further visual updating. T
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Adam, Fathalrahman, Thomas Esch, and Mihai Datcu. "Feature Investigation for Large Scale Urban Detection Using Landsat Imagery." Proceedings 2, no. 7 (2018): 349. http://dx.doi.org/10.3390/ecrs-2-05162.

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Many works dealing with the problem of urban detection at large scale have been published, but very little attention has been paid to the investigation of the features’ relative importance. Feature selection is known to be an NP-hard problem, which means it can not be solved in polynomial time, but there are many heuristics suggested to approximate the solution. In this paper, a survey of the features used for large scale urban detection is presented, then the question of finding the best subset of features is investigated. Using Landsat scenes of five urban areas, most common features were ex
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Dissertations / Theses on the topic "Imagerie Subsalt"

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Khazraj, Kaoutar. "Paramétrisation hybride champ/objet et inversion full-wave hybride de données sismiques de puits dans un contexte subsalt." Electronic Thesis or Diss., CY Cergy Paris Université, 2024. http://www.theses.fr/2024CYUN1267.

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Les techniques d'imagerie sismique jouent un rôle crucial dans l'exploration et la compréhension des structures sous la surface de la terre. Dans le domaine de l'exploration pétrolière les zones sous les corps de sel (dites subsalt) représentent un défi pour les techniques d'imagerie conventionnelles. L'application de la full-wave inversion (FWI) aux données sismiques de puits devrait permettre de résoudre au moins partiellement ces difficultés. Dans ce contexte subsalt, l'objectif principal est d'imager et aussi de caractériser les réservoirs d'hydrocarbures pouvant se trouver aux flancs et s
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Lu, Meng-Han, and 呂孟翰. "Band Subset Selection Approaches Based On Sparse Representation for Hyperspectral Imagery." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/un37mu.

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碩士<br>國立中山大學<br>機械與機電工程學系研究所<br>107<br>With the advancement of remote sensing technology, the applications of hyperspectral imagery (HSI) are more and more popular. Despite of many success achieved by HSI techniques, there are still some problems to be solved. For instance, HSI data provides huge information which usually contains a lot of redundancy because of its inherent nature. It imposes difficulties for classification because of the curse of dimensionality issue. The enormous data volume of HSI also causes the issues of data storage and long processing time. Therefore, how to select the
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Book chapters on the topic "Imagerie Subsalt"

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Le Bris, Arnaud, Nesrine Chehata, Xavier Briottet, and Nicolas Paparoditis. "Spectral Optimization of Airborne Multispectral Camera for Land Cover Classification: Automatic Feature Selection and Spectral Band Clustering." In Geographic Information Systems in Geospatial Intelligence. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.88507.

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Hyperspectral imagery consists of hundreds of contiguous spectral bands. However, most of them are redundant. Thus a subset of well-chosen bands is generally sufficient for a specific problem, enabling to design adapted superspectral sensors dedicated to specific land cover classification. Related both to feature selection and extraction, spectral optimization identifies the most relevant band subset for specific applications, involving a band subset relevance score as well as a method to optimize it. This study first focuses on the choice of such relevance score. Several criteria are compared
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Saltzstein, Jennifer. "Rural Landscapes and the Pastourelle." In Song, Landscape, and Identity in Medieval Northern France. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/oso/9780197547779.003.0006.

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Abstract This chapter examines the landscape described in medieval pastourelle songs and compares this landscape to the agricultural practices in use at the time and place of their composition. Determining, through this comparison, that the landscape described in most songs is realistic but out of date, this chapter explores the symbolic resonances of the nature imagery found in these songs and how the imagery relates to the identities of the characters within the songs as well as the audiences and patrons who consumed them. An examination of a subset of the pastourelle repertoire in which the
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Ashok, P., Tanisha Mangal, Lakshmi Sridevi, and Krishna K. Murali. "Unlocking New Potentials in Generative AI." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-8332-2.ch021.

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Generative AI, a subset of artificial intelligence, is dedicated to the development of models that are capable of producing new content, including text, imagery, audio, and entire virtual worlds. Generative AI is capable of replicating human creativity and generating outputs that were previously considered to be exclusively the domain of human intelligence by utilizing sophisticated machine learning techniques, including deep learning and neural networks. AI models in the music industry are capable of composing music in a variety of genres, providing musicians and producers with new tools. Gen
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Kocian, Dean F., and H. Lee Task. "Visually Coupled Systems Hardware and the Human Interface." In Virtual Environments and Advanced Interface Design. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195075557.003.0014.

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A visually coupled system (VCS) has been defined as “ . . . a special ‘subsystem’ which integrates the natural visual and motor skills of an operator into the system he is controlling” (Birt and Task, 1973). A basic VCS consists of three major components: (1) a head- or helmet-mounted (or head-directed) visual display, (2) a means of tracking head and/or eye pointing direction, and (3) a source of visual information which is dependent on eye/head viewing direction. The concept of a VCS is relatively simple: an operator looks in a particular direction, the head or eye tracker determines what th
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Dublish, Mani, Dr Anita Pati Mishra, Vinod Kumar, and Rahul Kumar. "MORPHOLOGICAL IMAGE PROCESSING AND IMAGE REGISTRATION." In Futuristic Trends in Network & Communication Technologies Volume 2 Book 19. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2023. http://dx.doi.org/10.58532/v2bs19p2ch7.

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A wide range of image processing techniques known as "morphological operations" modify digital images according to their shapes. Every image picture element in a morphologic procedure links to the rate of the other picture element in its instant area. Morphology is a huge class of image processing techniques that deploy pictures according to their figures. An aid copy is given a structural part by morphological procedures, which results in a production copy of the similar scope. A potent set of techniques for identifying interesting characteristics in an image is the morphological concepts. Th
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Conference papers on the topic "Imagerie Subsalt"

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Ramakrishnan, Sharath Chandra. "Temporal Imagery for Aural Diversity: Auditory Displays as Artifacts of Sonic Art Encounters Between Unaided and Cochlear Implant Listeners." In ICAD 2024: The 29th International Conference on Auditory Display. International Community for Auditory Display, 2024. http://dx.doi.org/10.21785/icad2024.035.

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This paper advocates for the position that aurally diverse methodologies for designing auditory displays are needed, that not only take into account varied hearing capacities, but also conceive of a participatory and trans-disciplinary approach for collectively engaging diverse forms and conversations about listening, and shared associations with auditory imagery. Further, in light of the complex history that the notion of hearing disability and the evolution of commercial sound technology has had within the normalizing agenda of medical institutions, a call for methods of engagement that nece
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Aldeghlawi, Maher, and Miguel Velez-Reyes. "A comparison of column subset selection methods for hyperspectral band subset selection (Conference Presentation)." In Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII, edited by David W. Messinger and Miguel Velez-Reyes. SPIE, 2017. http://dx.doi.org/10.1117/12.2264291.

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Velez-Reyes, Miguel, and Maher Aldeghlawi. "Using a column subset selection method for endmember extraction in hyperspectral unmixing." In Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, edited by David W. Messinger and Miguel Velez-Reyes. SPIE, 2018. http://dx.doi.org/10.1117/12.2309867.

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Velez-Reyes, M., and L. O. Jimenez. "Subset selection analysis for the reduction of hyperspectral imagery." In IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174). IEEE, 1998. http://dx.doi.org/10.1109/igarss.1998.691622.

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Aldeghlawi, Maher, and Miguel Velez-Reyes. "A Comparison of Column Subset Selection Methods for Unsupervised Band Subset Selection in Hyperspectral Imagery." In 2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI). IEEE, 2018. http://dx.doi.org/10.1109/ssiai.2018.8470360.

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Abrams, Austin, Emily Feder, and Robert Pless. "Exploratory analysis of time-lapse imagery with fast subset PCA." In 2011 IEEE Workshop on Applications of Computer Vision (WACV). IEEE, 2011. http://dx.doi.org/10.1109/wacv.2011.5711523.

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Wei, Qingguo, Xiaorong Gao, and Shangkai Gao. "Feature Extraction and Subset Selection for Classifying Single-Trial ECoG during Motor Imagery." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.260561.

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Wei, Qingguo, Xiaorong Gao, and Shangkai Gao. "Feature Extraction and Subset Selection for Classifying Single-Trial ECoG during Motor Imagery." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4397720.

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Alkhatib, Mohammed Q., and Miguel Velez-Reyes. "Using Band Subset Selection For Dimensionality Reduction In Superpixel Segmentation Of Hyperspectral Imagery." In 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020. http://dx.doi.org/10.1109/icip40778.2020.9190710.

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Meng, Jianjun, Guangquan Liu, Gan Huang, and Xiangyang Zhu. "Automated selecting subset of channels based on CSP in motor imagery brain-computer interface system." In 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2009. http://dx.doi.org/10.1109/robio.2009.5420462.

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Reports on the topic "Imagerie Subsalt"

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Goodwin, Peter, and Rebecca Molinari. Phragmites Mapping and Modeling in Great Salt Lake Wetlands at the Bear River Migratory Bird Refuge, Utah. Utah Geological Survey, 2024. http://dx.doi.org/10.34191/ri-287.

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Phragmites (Phragmites australis ssp. australis) threatens Great Salt Lake wetlands by readily displacing desirable native vegetation, degrading habitats, and diverting water from the lake and surrounding wetlands through increased evapotranspiration water loss. Understandably, land managers around the Great Salt Lake consider phragmites control a top priority and invest significant resources to treat and eradicate phragmites. Effective phragmites control relies on accurate mapping to identify possible treatment and follow up areas, and to clearly distinguish between phragmites and native vege
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