Relevant bibliographies by topics / Imagerie Subsalt

Academic literature on the topic 'Imagerie Subsalt'

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Published: 8 June 2024

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Contents

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

Journal articles on the topic "Imagerie Subsalt":

1

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 (November 2017): 2032–36. http://dx.doi.org/10.1109/lgrs.2017.2749209.

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Wang, Lin, Chein-I. Chang, Li-Chien Lee, Yulei Wang, Bai Xue, Meiping Song, Chuanyan Yu, and Sen Li. "Band Subset Selection for Anomaly Detection in Hyperspectral Imagery." IEEE Transactions on Geoscience and Remote Sensing 55, no. 9 (September 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 (February 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 (August 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 satellite imagery processing were adopted using ILWIS and ERDAS IMAGINE 9.2 software to subset the imageries, as well used for classification resampling. The result on built-up area reveals a consistence increase of over 80% between 2000 and 2021. The vegetation cover suffered a serious loss of vegetal land to the tune over 100 hectares due to various degree of development and expansion of the town. The water body also affected with loss in space covered with 80 hectares within the period under study. With a tremendous population increase, the study indicates a high demand for land and vegetal resources, which in turns possess a serious threat to food production. The study concludes that population increase remains the most significant determinant of peri-urban changes with a resultant effect on the wellbeing of peri-urban residents and rural dwellers. It therefore, recommends the adoption and application of strategic physical planning approach in the development of the peri-urban areas.
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Ye, Bei, Shufang Tian, Qiuming Cheng, and Yunzhao Ge. "Application of Lithological Mapping Based on Advanced Hyperspectral Imager (AHSI) Imagery Onboard Gaofen-5 (GF-5) Satellite." Remote Sensing 12, no. 23 (December 6, 2020): 3990. http://dx.doi.org/10.3390/rs12233990.

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The Advanced Hyperspectral Imager (AHSI), carried by the Gaofen-5 (GF-5) satellite, is the first hyperspectral sensor that simultaneously offers broad coverage and a broad spectrum. Meanwhile, deep-learning-based approaches are emerging to manage the growing volume of data produced by satellites. However, the application potential of GF-5 AHSI imagery in lithological mapping using deep-learning-based methods is currently unknown. This paper assessed GF-5 AHSI imagery for lithological mapping in comparison with Shortwave Infrared Airborne Spectrographic Imager (SASI) data. A multi-scale 3D deep convolutional neural network (M3D-DCNN), a hybrid spectral CNN (HybridSN), and a spectral–spatial unified network (SSUN) were selected to verify the applicability and stability of deep-learning-based methods through comparison with support vector machine (SVM) based on six datasets constructed by GF-5 AHSI, Sentinel-2A, and SASI imagery. The results show that all methods produce classification results with accuracy greater than 90% on all datasets, and M3D-DCNN is both more accurate and more stable. It can produce especially encouraging results by just using the short-wave infrared wavelength subset (SWIR bands) of GF-5 AHSI data. Accordingly, GF-5 AHSI imagery could provide impressive results and its SWIR bands have a high signal-to-noise ratio (SNR), which meets the requirements of large-scale and large-area lithological mapping. And M3D-DCNN method is recommended for use in lithological mapping based on GF-5 AHSI hyperspectral data.
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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 (June 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 that was confirmed through CFA. Study 4 (N = 220 athletes) compared the SIAQ to the Movement Imagery Questionnaire-3. Significant bivariate correlations (p < .05) confirmed the SIAQ’s concurrent validity but demonstrated differences in imagery ability of different content. Overall, the SIAQ demonstrates good factorial validity, internal and temporal reliability, invariance across gender, and an ability to distinguish among athletes of different competitive levels. Findings highlight the importance of separately assessing imagery ability of different content.
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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 (September 9, 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 the original band set and measures the redundancy between the bands by calculating the distance of each unselected band to the selected band subset. Subsequently, by designing an adaptive weight to balance the influence of the representativeness metric and redundancy metric on the band evaluation, a final band scoring function is obtained to select a band subset that well represents the original hyperspectral image and has low redundancy. Experiments on three well-known hyperspectral data sets indicate that compared with the existing BS methods, the proposed EBARec-BS is robust to noise bands and can effectively select the band subset with higher classification accuracy and less redundant information.
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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 (February 24, 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 (December 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. The results call into question whether task performance is imagery-based or whether subjects use alternative strategies to approach the target.
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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 (December 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. The results call into question whether task performance is imagery-based or whether subjects use alternative strategies to approach the target.
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Journal articles

Dissertations / Theses on the topic "Imagerie Subsalt":

1

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 sous les corps de sel. Néanmoins, le contexte particulier de la sismique de puits, combiné aux défis liés à l'imagerie sous et autour des corps de sel nécessitent l'introduction de contraintes fortes dans le problème inverse géophysique en raison d'une sous-détermination du problème. La présente thèse propose une approche en trois étapes pour aborder ces défis. Tout d'abord, elle suggère d'incorporer de l'information géologique extit{a priori} dans le processus d'inversion en définissant des objets géologiques délimités par des discontinuités permettant aussi une introduction plus fine de l'information ext{a priori} sur les paramètres physiques par objet. Ensuite, elle vise à formaliser et à calculer le gradient par rapport aux paramètres géométriques du modèle qui définissent ces discontinuités. Enfin, elle propose de mettre en place un algorithme d'inversion full-wave hybride qui combine les approches de type champ et de type objet. Cette FWI hybride utilise à la fois le gradient des champs physiques et le gradient relatif aux paramètres géométriques. Le contenu de la thèse est réparti en quatre chapitres. Le premier chapitre présente les concepts fondamentaux utilisés dans l'algorithme FWI hybride. Il met l'accent sur des approches de représentation duale des interfaces (explicite/implicite) par l'utilisation de maillages non-structurés déformables pour la discrétisation des discontinuités et de la méthode level set pour la représentation implicite des objets géologiques dans le problème inverse. Le chapitre 2 décrit les étapes du développement d'une plateforme logicielle permettant l'implémentation numérique de ces approches et la réalisation de tests FWI hybride. Cette plateforme logicielle comprend un code de modélisation de la propagation des ondes par la méthode des éléments spectraux et un code d'inversion basé sur le calcul des gradients simples ou conjugués, avec une approche probabiliste du problème inverse. Le troisième chapitre détaille les différentes étapes de l'algorithme FWI géométrique et sa mise en application à des données de sismique de puits pour estimer la position des interfaces sel/sédiment pour un milieu 2D. Enfin, le quatrième chapitre présente l'algorithme d'inversion hybride et sa mise en oeuvre avec des données de sismique de puits dans le but d'estimer les vitesses des ondes de compression et de cisaillement, ainsi que la position de la frontière des corps de sel pour un milieu 2D. Les résultats des tests numériques présentés sont prometteurs, ce qui permet de valider notre approche d'inversion hybride
Seismic imaging techniques play a crucial role in the exploration and understanding of subsurface structures. In the field of petroleum exploration, subsalt zones present a challenge for conventional imaging techniques and full-wave inversion (FWI). The application of FWI to seismic well data is expected to overcome these challenges. The primary goal is to characterize hydrocarbon reservoirs that may be located beneath and alongside salt bodies. However, the context of well seismic imaging, combined with the challenges of imaging beneath and around salt bodies, requires the introduction of strong constraints into the geophysical inverse problem due to its underdetermined nature.This thesis presents a three-step approach to tackle these challenges. Firstly, it suggests incorporating extit{a priori} geological information into the inversion process by defining geological objects bounded by discontinuities. Secondly, it aims to formalize and compute the gradient with respect to the geometric parameters that define these discontinuities. Thirdly, it proposes the implementation of a hybrid full-wave inversion algorithm that combines field and object-based approaches. This hybrid FWI utilizes both the gradient of physical fields and the gradient relative to geometric parameters.The thesis content is divided into four distinct chapters. The first chapter introduces the fundamental concepts used in the hybrid FWI algorithm. It highlights the approach based on a dual representation of interfaces (explicit/implicit) using deformable unstructured meshes for the explicit discretization of discontinuities and the level-set method for the implicit representation of the geological objects in the inverse problem. Chapter 2 describes the development steps of a software platform for the numerical implementation of these approaches and the execution of hybrid FWI tests. This software platform includes a wave propagation modeling code based on the spectral elements method and an inversion code based on the gradient computation using the Green's function method, with a probabilistic approach to the inverse problem. The third chapter outlines the various stages of the geometric FWI algorithm and its application to well seismic data to estimate the position of salt/sediment interfaces in 2D environments. Finally, the fourth chapter presents the hybrid inversion algorithm and its implementation with well seismic data to estimate the velocities of compression and shear waves, as well as the position of salt body boundaries in 2D environments. The results of the presented numerical tests are promising, validating our hybrid inversion approach
2

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
國立中山大學
機械與機電工程學系研究所
107
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 representative bands from the original image cube without significant loss of information is one of the most important topics in remote sensing society. We call it Band Selection (BS). In this thesis, we combine a new concept, Band Subset Selection (BSS), with self-sparse representation (SSR) model as the objective function, to create an effective BS method for data dimensionality reduction. This method is called self-sparse representation based BSS (SpaBSS). In order to efficiently implement SpaBSS, two iterative algorithms are developed: successive SpaBSS (SC-SpaBSS) and sequential SpaBSS (SQ-SpaBSS). Unlike many existing BS approaches which may only find the locally optimal solution by a single path, the proposed SpaBSS can obtain the nearly globally optimal solution by continuously updating the band subset based on minimizing the reconstruction error of SSR model. The experiments conducted on three real hyperspectral datasets demonstrate that both SpaBSS methods can find appropriate band subsets for effective hyperspectral image classification and endmember extraction.

Book chapters on the topic "Imagerie Subsalt":

1

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 through both quantitative and qualitative analyses. To have a fair comparison, all tested criteria are compared to classic hyperspectral data sets using the same optimization heuristics: an incremental one to assess the impact of the number of selected bands and a stochastic one to obtain several possible good band subsets and to derive band importance measures out of intermediate good band subsets. Last, a specific approach is proposed to cope with the optimization of bandwidth. It consists in building a hierarchy of groups of adjacent bands, according to a score to decide which adjacent bands must be merged, before band selection is performed at the different levels of this hierarchy.
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Saltzstein, Jennifer. "Rural Landscapes and the Pastourelle." In Song, Landscape, and Identity in Medieval Northern France, 163—C5T4. 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 shepherdess character is raped reveals that the songs tend to locate her in a woodland environment strongly evocative of knightly identity, forecasting the knight’s coming transgression through the landscape. The chapter then addresses the urban context of many of the songs authors and patrons, examining how townspeople and wealthy, nonnoble patrons may have identified themselves against the identity of the medieval peasant.
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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 that direction is, and the visual information source produces appropriate imagery to be viewed on the display by the operator. In this manner the operator is visually coupled to the system represented by the visual information source. The visual information source could be a physical imaging sensor such as a television camera or it could be a synthetic source such as computer-generated imagery (the basis for a virtual reality (VR) or virtual environment system). Thus, a VR system is really a subset of a VCS which can present both real-world and virtual information to an operator, often on a see-through display. The display is usually a helmet/head-mounted display (HMD) but it could also be the interior of a dome capable of displaying a projected image or it could be a mechanically mounted display that is not supported by the head but is attached to the head which in recent times has been referred to as a binocular omni-oriented monitor (BOOM) display. Both eye-tracking and head-tracking devices have been developed but by far the least expensive and most widely used is head tracking (this is based on the reasonable assumption that the eyes will be looking in the general direction that the head is pointing). Figures 6-1 through 6-4 are photographs of some early helmet-mounted and BOOM displays. In this chapter we will concentrate primarily on helmet/head-mounted displays and helmet/head trackers. This section describes each of the three main components of a visually coupled system and defines characteristics that are used in the specification of these components.
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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, 169–211. 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. The fact that dilation and erosion are simple processes has a big advantage in terms of implementation. The term "morphology" is used to refer to a subdivision of natural science that studies the shape and construction of creatures and vegetation. The similar term morphology is employed in this situation as a utensil for Digital images as they are processed using a wide range of procedures known as morphological operations. that take shape into account. Including complement of Image enhancement operations, we can Based on the attributes of an object's shape that are prearranged in the organizing part, they develop substances in the aid figure. Mathematical Morphology explains the mathematical specifics. The structural element typically has a 33 size and originates at the mid picture element. It is moved across the figure, and respectively picture element rudiments are equated to the customary of primary picture element at that location. The pixel beneath the arranging component's origin is set to a predetermined cost if the two sets of elements satisfy the set operator's requirement (for instance, if the structuring element's set of pixels is a subset of the pixels in the underlying image) (0 or 1 for dual imageries). a structural operator. Morphological processing is pixel. Binary morphology only uses sentence membership and is agnostic to values such as grayscale and color of pixels. I will confirm Some basic set operations and their utility in image processing. Morphologic actions are an extensive range of doppelgänger dealing out actions that develop cardinal imageries created on their shape. In morphologic operations, each doppelgänger picture element corresponds to the value of another picture element in its neighborhood. Via selecting the form and space of neighboring pixels, you can paradigm morphologic operations that are delicate to exact forms of the aid figure. Morphologic processes apply an arranging part, called Strel in Matlab, to the aid copy and produce a production copy of the similar magnitude. Two terms make up morphology, or morphology. The terms "morphology" and "morphology" both refer to metamorphosis. There are several reasons why an image could change. Noise is one of these elements. Therefore, morphology is thought of as an image processing method that eliminates flaws in an image brought on by noise. The representation of a region's shape, the description of skeletons, the study of surface deviations, and other surface metrological applications are all examples of how morphology is used. Erosion and dilation algorithms are used to perform morphological operations, and MATLAB R2013a is used to verify the outcomes

Conference papers on the topic "Imagerie Subsalt":

1

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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Cedillo, G., A. Ortego, C. Ilizaliturri, A. C. Shrivastava, E. Ruiz, A. Kulkarni, J. Wadsworth, et al. "Discovery and Integration by Increasing Resolution, Obtaining Borehole Images while Drilling: First Multivendor LWD Success Story from Gulf of Mexico." In SPE Annual Technical Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/215066-ms.

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Abstract:
Abstract As if drilling targets in deep water environments were not challenging enough, key subsurface complexities are being unveiled as we improve measurements resolution that provide insights into reservoir characteristics previously invisible with previous technologies such as conventional logs. With this, new wells delivery risk profiles and economics are challenged with geoscientists demanding high-resolution well-logs of different measurements while drilling commences that historically have been deployed on wireline. Often, the drilling vendors are identified early for logistically complex operations; and post-drilling wireline logging is not the most favorable deployment system decision due to salt tectonics inducing operational challenges, specifically in the case of the Thunderhorse reservoir where different degrees of depletion add a considerable differential sticking operational risks. Additionally, not all the high-resolution logging technologies are available while drilling, and such gaps are wider in wells drilled with non-conductive mud as limitations in technology and tool sizes prevail. In the specific case of deep water turbidites depositional environments, the need for high resolution images was historically fulfilled running a post-drilling wireline run, until a multi-vendor solution to acquire the data while drilling, provided high quality real-time borehole images in support of operations and reservoir description objectives. This multivendor integration technology approach was planned, tested, and successfully deployed in three new subsalt deep-water wells where a LWD dual imager with real-time image transmission capability was used in a different LWD provider of the main drilling bottom-hole-assembly (BHA). This novel technique required rigging up two independent telemetry systems to power up and transmit simultaneously quad-combo and pressures data from vendor-A and real-time borehole-images from vendor-B. This was first of its kind attempt to run two sophisticated logging technologies from different service providers needed to achieve key logging objectives while drilling. Many rounds of technical discussion with operations and technology teams made this effort a success with several lessons learned. After operational considerations were factored in, focus shifted to seamless transmission of data and its real-time delivery for operations continuity. With limited telemetry, the LWD dual-imager’s data transmission capability could provide high-quality features-picking on real-time images to advise the simultaneous formation pressures operations and assist selecting the most suitable depths for probe-positioning, staying away from faults, fractures and cemented intervals. High quality data was then acquired while drilling, meeting the logging objectives while drilling, minimizing the need of operationally challenging and expensive subsequent wireline run. This, first of its kind multi-vendor success story provides insights into addressing a technical challenge as one team and overcoming the technology portfolio gap with integrated innovative solutions for successful operations and data acquisition.

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