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Seismic Data Interpretation using Digital Image Processing

seismic processing and interpretation techniques from the point of view of a digital signal processor. * Presents image processing concepts that;

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Advanced Digital Signal Processing of Seismic Data

Seismic data must be interpreted using digital signal processing techniques in order to create accurate representations of petroleum;

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Processing of Seismic Reflection Data Using MATLAB

This short book is for students, professors and professionals interested in signal processing of seismic data using MATLAB (TM). The step;

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Two-Dimensional Digital Filters

of applications in image and seismic data processing that demonstrate their use in real-world signal processing. For graduate students in electrical and;

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Remote Sensing and Image Interpretation

From recent developments in digital image processing to the next generation of satellite systems, this book provides a comprehensive;

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Advanced Digital Image Processing and Its Applications in Big Data

various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book;

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Advanced Digital Image Processing and Its Applications in Big Data

various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book;

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Oil and Gas Reservoir Prospecting and Exploration

This book discusses topical issues of detailed seismic data interpretation using high-resolution seismic (HRS) techniques, which are based;

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Elements of 3D Seismology

Elements of 3D Seismology, Third Edition is a thorough introduction to the acquisition, processing, and interpretation of 3D seismic data;

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Textbook of Digital Image Processing

This book is an attempt to present the advances in digital image processing and analysis in the form of a textbook for both undergraduate;

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Elements of 3-D Seismology

Elements of 3D Seismology is a thorough introduction to the acquisition, processing, and interpretation of 3D seismic data. Developed from;

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Seismic Data Interpretation and Evaluation for Hydrocarbon Exploration and Production

effort has been made for the readers to realize that mindless interpretation of seismic data using sophisticated software packages, without;

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Fundamentals of Capturing and Processing Drone Imagery and Data

analytics Includes real-world environmental applications along with data interpretations and software used, often non-proprietary Combines the;

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Digital Image Processing Using Matlab

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Introductory Digital Image Processing

Processing: A Remote Sensing Perspective focuses on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth;

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Acquisition and Processing of Marine Seismic Data

Acquisition and Processing of Marine Seismic Data demonstrates the main principles, required equipment, and suitable selection;

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Seismic Signatures and Analysis of Reflection Data in Anisotropic Media

developing practical methodologies for estimating them from seismic data, Seismic Signatures and Analysis of Reflection Data in Anisotropic Media;

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Digital Image Processing

This proceedings, Digital Image Processing: Techniques and Applications in Civil Engineering, consists of the invited and submitted papers;

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Digital Image Processing

softwares for analysis of digital data or images. The next six chapters are devoted to outlining the various processes and techniques as required to;

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Hydrocarbon Exploration Using Unconventional Interpretation Techniques

using conventional interpretation methods. The suite of Well log data and seismic data were acquired and qualitatively and quantitatively;

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Practical Applications of Time-lapse Seismic Data

Applications of Time-lapse Seismic Data (SEG Distinguished Instructor Series No. 16) shows how 4D seismic data are used for reservoir surveillance, how;

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Digital Image Fundamentals in MATLAB

features of the text are as follows: A step by step guide for the Digital Image Processing undergraduate and graduate students while using MATLAB;

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Visual Saliency

transform. For object-level tasks, the authors propose data-driven methods using deep convolutional neural networks. The book includes both;

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Parallel Image Analysis

This volume deals with the following topics: 2-D, 3-D automata and grammars, parallel architecture for image processing, parallel digital;

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Electrocardiogram Image Digitization

interpretation is essentially required in order to evaluate the valuable information inside the ECG signal. The conventional technique of visual analysis;

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Signals and Images

communications, bio-inspired signal processing, seismic data processing, arithmetic transforms for spectrum computation, particle filtering;

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Signals and Images

communications, bio-inspired signal processing, seismic data processing, arithmetic transforms for spectrum computation, particle filtering;

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