A MATLAB code package for 2D/3D local slope estimation and structural filtering

Wang, Hang; Chen, Yunfeng; Saad, Omar M.; Chen, Wei; Oboué, Yapo Abolé Serge Innocent; Yang, Liuqing; Fomel, Sergey; Chen, Yangkang

doi:10.1190/geo2021-0266.1

Cited by 23 publications

(5 citation statements)

References 37 publications

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“…Using this slope information, the seismic data are translated to the flattened domain. Then structural filtering is performed using a mean or median operator applied in a specific local window that is driven by the local slope at the corresponding locations [46].…”

Section: Struture-oriented Filteringmentioning

confidence: 99%

Seismic Data Reconstruction Based on Double Sparsity Dictionary Learning With Structure Oriented Filtering

Kuruguntla,

Dodda,

Mandpura

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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In seismic data processing, denoising and reconstruction are the two steps for identification of resources in the earth subsurface layers'. The seismic data quality is affected by random noise and interference during acquisition. Further, the noisy data may be incomplete with missing traces. In this work, we propose a method for incomplete seismic data denoising and reconstruction based on double sparsity dictionary learning (DSDL) with structure oriented filtering (SOF). The main function of the DSDL step is denoising and SOF is used for residual noise attenuation and filling the missing data points. The proposed method is tested on 2D synthetic and field data sets. The test results show that the DSDL-SOF method has better noise attenuation and reconstruction in terms of signal-to-noise ratio (SNR) and mean squared error (MSE) as compared to existing methods.

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Section: Struture-oriented Filteringmentioning

confidence: 99%

Seismic Data Reconstruction Based on Double Sparsity Dictionary Learning With Structure Oriented Filtering

Kuruguntla,

Dodda,

Mandpura

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…To quantitatively measure the car speed, we borrow the concept of local slope from the exploration seismology community calculated by the plane-wave destruction algorithm [23,24]. For a 2D data profile u containing several curved (or straight) car signals, assuming that each point has a dominant event slope d, the profile then corresponds to a slope field d varying along the time and space directions.…”

Section: Speed and Volume Estimates Of Traffic Flowmentioning

confidence: 99%

Urban DAS Data Processing and Its Preliminary Application to City Traffic Monitoring

Wang

Chen

Min

et al. 2022

Sensors

Self Cite

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Distributed acoustic sensing (DAS) is an emerging technology for recording vibration signals via the optical fibers buried in subsurface conduits. It has some apparent advantages compared to the traditional seismic geophones, i.e., it can acquire much denser spatial and temporal sampling of the seismic wavefield and can be deployed more easily. Considering that the usage of optical fibers in the urban environment has drawn relatively less attention aside from its functionality as a telecommunication cable, we propose to use its ability to record seismic signals to preliminarily monitor the traffic. Firstly, to solve the problems that DAS signals are prone to a variety of environmental noise and are generally of weak amplitude compared to noise, we propose a fast workflow for real-time DAS data processing, which can enhance the detection of regular car signals and suppress the other components. We conduct a DAS experiment in Hangzhou, China, a busy-traffic city that can provide us with a rich data library to validate our DAS data-processing workflow. At last, the well-processed data enable us to extract their slope and coherency attributes that can provide an estimate of real traffic situations. The one-minute (with video validations) and 24 h statistics of these attributes show that the speed and volume of car flow have significant correlations with them, which provides us with high confidence that urban DAS with robust data processing has great potential for city traffic monitoring with high precision and convenience. Additionally, it is also worth noting the limitation of this study. All the attributes are statistically analyzed based on the behaviors of a large number of cars, which is meaningful but lacking in precision. We will try to develop more quantitative processing and analyzing methods to provide precise information on individual cars in future works.

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“…The traditional teaching mode is mainly based on the teacher as the main lecturer and the combination of theoretical learning and exercises so that students can master the course content in understanding [8]. Therefore, mathematics courses for engineering majors in colleges and universities need to build an experimental platform for higher mathematics courses on the basis of the traditional teaching mode by using the advantages of MATLAB software in plotting and through the form of static and dynamic visualization of data [9][10]. Transforming abstract logical jumps into concrete image thinking opens up a more efficient shortcut for students learning higher mathematics.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study on Improving Mathematics Application Skills of Engineering Students Using MATLAB Tools

Yan

2024

Applied Mathematics and Nonlinear Sciences

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This paper discusses the implementation and application of MATLAB tools in the teaching of engineering majors so as to improve the quality of education and students’ mathematical application ability. Using the programming and GUI graphical interface design functions of MATLAB, the method of establishing the graphical user interface of the mathematical experiment module closely links the experimental content with the practical teaching of mathematical modeling. With the help of the operation functions provided by the system, we can set the experiment parameters and design the experiment interface ourselves to deepen our intuitive understanding of the mathematical content learned. After the pilot teaching in the mechanism major of University Z, 22 individuals failed to reach course objective 1, and 40 individuals were unable to reach course objective 2. The number of individuals passing the three lab reports increased continuously, from 40 to 57 in Class 1 and from 34 to 56 in Class 2. The math scores in the three exams improved significantly, and the distribution of the scores went from concentrating on scores below 60 to focusing on scores between 70–89. As a result, the teaching method for MATLAB tools application was effective.

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A MATLAB code package for 2D/3D local slope estimation and structural filtering

Cited by 23 publications

References 37 publications

Seismic Data Reconstruction Based on Double Sparsity Dictionary Learning With Structure Oriented Filtering

Seismic Data Reconstruction Based on Double Sparsity Dictionary Learning With Structure Oriented Filtering

Urban DAS Data Processing and Its Preliminary Application to City Traffic Monitoring

An Empirical Study on Improving Mathematics Application Skills of Engineering Students Using MATLAB Tools

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