Results 61 to 70 of about 158,938 (168)
A Non-Local Low-Rank Algorithm for Sub-Bottom Profile Sonar Image Denoising
Remote Sensing, 2020 Due to the influence of equipment instability and surveying environment, scattering echoes and other factors, it is sometimes difficult to obtain high-quality sub-bottom profile (SBP) images by traditional denoising methods.
Shaobo Li +4 more
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A Research and Strategy of Remote Sensing Image Denoising Algorithms
, 2019 Most raw data download from satellites are useless, resulting in transmission waste, one solution is to process data directly on satellites, then only transmit the processed results to the ground.
B Wen +9 more
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IEEE Transactions on Pattern Analysis and Machine IntelligenceLearning-based image reconstruction models, such as those based on the U-Net, require a large set of labeled images if good generalization is to be guaranteed. In some imaging domains, however, labeled data with pixel- or voxel-level label accuracy are scarce due to the cost of acquiring them. This problem is exacerbated further in domains like medical
Sean I. Young +6 more
openaire +4 more sources
BuildingsWith 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 +5 more
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矿业科学学报, 2019 Microseismic monitoring technology is widely used in such fields as mining engineering,petroleum and gas exploitation,and safety monitoring.In order to solve the problem of random noise in microseismic signals collected by microseismic monitoring,a ...
Sun Yuan +4 more
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Graph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain
, 2017 Inverse imaging problems are inherently under-determined, and hence it is important to employ appropriate image priors for regularization. One recent popular prior---the graph Laplacian regularizer---assumes that the target pixel patch is smooth with ...
Cheung, Gene, Pang, Jiahao
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Noise reduction method for mine wind speed sensor data based on CEEMDAN-wavelet threshold
Scientific ReportsThe mine wind speed sensor is an important intelligent sensing equipment in the mine intelligent ventilation system that can provide accurate and key wind speed parameters for the intelligent ventilation system. The turbulent pulsation characteristics of
Yu Wang +5 more
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A Novel Joint Denoising Method for Hydrophone Signal Based on Improved SGMD and WT
SensorsUnderwater acoustic technology as an important means of exploring the oceans is receiving more attention. Denoising for underwater acoustic information in complex marine environments has become a hot research topic.
Tianyu Xing +3 more
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Improvement of BM3D Algorithm and Employment to Satellite and CFA Images Denoising
, 2011 This paper proposes a new procedure in order to improve the performance of block matching and 3-D filtering (BM3D) image denoising algorithm. It is demonstrated that it is possible to achieve a better performance than that of BM3D algorithm in a variety ...
Pakdelazar', 'Omid +1 more
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Data-Driven Tight Frame for Cryo-EM Image Denoising and Conformational Classification
, 2018 The cryo-electron microscope (cryo-EM) is increasingly popular these years. It helps to uncover the biological structures and functions of macromolecules. In this paper, we address image denoising problem in cryo-EM. Denoising the cryo-EM images can help
Cai, Jian-Feng +6 more
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