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IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society, v.18 no.7, 2021년, pp.1303 - 1307
Feng, Jun (Chengdu University of Technology, Geomathematics Key Laboratory of Sichuan Province, Chengdu, China) , Li, Xiaoqin (Chengdu University of Technology, Geomathematics Key Laboratory of Sichuan Province, Chengdu, China) , Liu, Xi (Chengdu University of Technology, Geomathematics Key Laboratory of Sichuan Province, Chengdu, China) , Chen, Chaoxian (University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China) , Chen, Hui (Chengdu University of Technology, Geomathematics Key Laboratory of Sichuan Province, Chengdu, China)
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In order to remove random noise in seismic data, this letter proposes a seismic data denoising method based on tensor decomposition and total variation (TDTV). Based on the self-similarity of seismic data, this method first groups similar patches into a stack, then utilizes the low-rank tensor appro...
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Seismic Signal Denoising Using
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Geophysics Random noise attenuation using local signal-and-noise orthogonalization chen 2015 10.1190/geo2014-0227.1 80 wd1
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