Results 61 to 70 of about 1,182 (196)

Wavelet denoising and feature extraction of seismic signal for footstep detection [PDF]

, 2007
Seismic sensors are widely used to detect moving target in ground sensor networks. Footstep detection is very important for security surveillance and other applications.
Liu, YL, Xing, HF, Xing, HF, Chinese Acad Sci, Inst Semicond, State Key Lab Integrated Optoelect, Beijing 100083, Peoples R China., Li, F   +3 more
core  

Leveraging domain adaptation for efficient seismic denoising [PDF]

, 2022
The selection of training data for deep learning procedures dictates both the neural network's performance and its applicability to further datasets.
Birnie, Claire Emma, Alkhalifah, Tariq Ali   +1 more
core   +1 more source

An adaptive parameter-free seismic data denoising approach by combining general cross-validation thresholding and pixel connectivity in synchrosqueezed domain

Earth, Planets and Space
High signal-to-noise ratio (SNR) seismic waveform data are conductive to various studies in seismology. Seismic denoising aims to enhance SNR by eliminating additive noise through signal processing while preserving important features of the seismic ...
Zhiyi Zeng, Peng Han, Wei Zhang, Yong Zhou, Xubiao Deng, Da Zhang, Yaqian Shi, Ying Chang, Hu Ji, Rui Dai, Jianzhong Zhang   +10 more
doaj   +1 more source

A Patch Based Denoising Method Using Deep Convolutional Neural Network for Seismic Image

IEEE Access, 2019
The deep convolutional neural networks (CNNs) have been shown excellent performances for image denoising. However, the denoising CNN model trained with a specific noise level cannot deal with the images which have spatiotemporally variant random noise ...
Yushu Zhang, Hongbo Lin, Yue Li, Haitao Ma   +3 more
doaj   +1 more source

The application of a new machine learning paradigm based on pretraining and fine-tuning, StorSeismic, on field seismic data [PDF]

, 2022
We often apply a number of processing modules to a field dataset to perform various tasks, like denoising, first arrival picking, velocity estimation, and so on.
Alkhalifah, Tariq Ali, Harsuko, Randy, Randy Harsuko, Tariq Alkhalifah   +3 more
core   +1 more source

Diffusion Model for DAS-VSP Data Denoising

Sensors, 2023
Distributed acoustic sensing (DAS) has emerged as a transformational technology for seismic data acquisition. However, noise remains a major impediment, necessitating advanced denoising techniques. This study pioneers the application of diffusion models,
Donglin Zhu, Lei Fu, Vladimir Kazei, Weichang Li   +3 more
doaj   +1 more source

Microbial endolithic community at Meteor Crater

Meteoritics &Planetary Science, Volume 61, Issue 6, Page 955-962, June 2026.
Abstract Postimpact recovery and evolution in response to climate changes produced a modern ecosystem at Meteor Crater dominated by a grassland and woodland of piñon and juniper, which has been used to evaluate floral and megafaunal consequences of impact cratering during the Phanerozoic Eon of complex life.
David A. Kring, Charles S. Cockell
wiley   +1 more source

From Signal to Safety: A Data-Driven Dual Denoising Model for Reliable Assessment of Blasting Vibration Impacts

Buildings
With the acceleration of urban renewal, directional blasting has become a common method for building demolition. Analyzing the time–frequency characteristics of blast-induced seismic waves allows for the assessment of risks to surrounding structures ...
Miao Sun, Jing Wu, Junkai Yang, Li Wu, Yani Lu, Hang Zhou   +5 more
doaj   +1 more source

Optical Fiber Sensors for Safety and Maintenance Monitoring of Linear Infrastructure

Advanced Sensor Research, Volume 5, Issue 5, May 2026.
This review rigorously provides a thorough and detailed overview of the most recent innovations and advancements in the field of railway and pipeline infrastructure monitoring, accomplished through the implementation of cutting‐edge fiber sensing technologies, with a specific emphasis on its two principal technical branches, namely multipoint sensing ...
Shengnan Wu, Yue Cao, Xiaokun Qian, Jianling Wu, Armando Laudati, Vincenzo Romano Marrazzo, Maria Alessandra Cutolo, Giovanni Breglio, Andrea Cusano, Antonello Cutolo, Sailing He   +10 more
wiley   +1 more source

A New Ensemble Empirical Mode Decomposition (EEMD) Denoising Method for Seismic Signals [PDF]

, 2016
This paper suggests a new denoising technique based on the Ensemble Empirical mode decomposition (EEMD). This technique has been compared with the discrete wavelet transform (DWT) thresholding.
Gaci, Said
core   +1 more source