{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T20:37:55Z","timestamp":1770755875908,"version":"3.50.0"},"reference-count":52,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2024,8,10]],"date-time":"2024-08-10T00:00:00Z","timestamp":1723248000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["42074151"],"award-info":[{"award-number":["42074151"]}]},{"name":"National Natural Science Foundation of China","award":["41374108"],"award-info":[{"award-number":["41374108"]}]},{"name":"National Natural Science Foundation of China","award":["2016ZX05026-002-003"],"award-info":[{"award-number":["2016ZX05026-002-003"]}]},{"name":"Major Projects of the National Science and Technology of China","award":["42074151"],"award-info":[{"award-number":["42074151"]}]},{"name":"Major Projects of the National Science and Technology of China","award":["41374108"],"award-info":[{"award-number":["41374108"]}]},{"name":"Major Projects of the National Science and Technology of China","award":["2016ZX05026-002-003"],"award-info":[{"award-number":["2016ZX05026-002-003"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This study introduces a novel multi-channel predictive deconvolution method enhanced by Shearlet-based sparse regularization, aimed at improving the accuracy and stability of subsurface seismic imaging, particularly in offshore wind farm site assessments. Traditional multi-channel predictive deconvolution techniques often struggle with noise interference, limiting their effectiveness. By integrating Shearlet transform into the multi-channel predictive framework, our approach leverages its directional and multiscale properties to enhance sparsity and directionality in seismic data representation. Tests on both synthetic and field data demonstrate that our method not only provides more accurate seismic images but also shows significant resilience to noise, compared to conventional methods. These findings suggest that the proposed technique can substantially improve geological feature identification and has great potential for enhancing the efficiency of seabed surveys in marine renewable energy development.<\/jats:p>","DOI":"10.3390\/rs16162935","type":"journal-article","created":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T08:54:08Z","timestamp":1723452848000},"page":"2935","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Enhanced Offshore Wind Farm Geophysical Surveys: Shearlet-Sparse Regularization in Multi-Channel Predictive Deconvolution"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-6969-9606","authenticated-orcid":false,"given":"Yang","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deli","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4576-4560","authenticated-orcid":false,"given":"Junming","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1628-5210","authenticated-orcid":false,"given":"Xiangbo","family":"Gong","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifei","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,8,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Cai, L., Hu, Q., Qiu, Z., Yin, J., Zhang, Y., and Zhang, X. (2023). Study on the Impact of Offshore Wind Farms on Surrounding Water Environment in the Yangtze Estuary Based on Remote Sensing. Remote Sens., 15.","DOI":"10.3390\/rs15225347"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Spanier, R., and Kuenzer, C. (2024). Marine Infrastructure Detection with Satellite Data-A Review. Remote Sens., 16.","DOI":"10.3390\/rs16101675"},{"key":"ref_3","first-page":"41","article-title":"Geology of outer Horns Rev, Danish North Sea","volume":"15","author":"Jensen","year":"2008","journal-title":"Geol. Surv. Den. Greenl. Bull."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1007\/s11770-008-0027-1","article-title":"An improved predictive deconvolution based on maximization of non-Gaussianity","volume":"5","author":"Liu","year":"2008","journal-title":"Appl. Geophys."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1056","DOI":"10.1109\/LGRS.2014.2377596","article-title":"A Fast L1 Linear Estimator and Its Application on Predictive Deconvolution","volume":"12","author":"Liu","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_6","unstructured":"Kim, G., Ku, B., Li, Y., Min, J., Lee, J., and Ko, H. (October, January 26). Convolutional recurrent neural networks for earthquake epicentral distance estimation using single-channel seismic waveform. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Electr Network, Waikoloa, HI, USA."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"U47","DOI":"10.1190\/geo2019-0011.1","article-title":"Diffraction velocity analysis in a single-channel seismic survey in the Joetsu Basin","volume":"85","author":"Santos","year":"2020","journal-title":"Geophysics"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Bashilov, I.P., Vereshchagin, A.A., Zagorskiy, L.S., Zagorskiy, D.L., Ryazantsev, Y.V., Chervinchuk, S.Y., and Yudochkin, N.P. (2019). Single channel seismic sounding in geological engineering survey (Review). Mining Informational and Analytical Bulletin, 141\u2013150.","DOI":"10.25018\/0236-1493-2019-12-0-141-150"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"105429","DOI":"10.1016\/j.jappgeo.2024.105429","article-title":"Processing and joint interpretation of multi-resolution marine seismic datasets","volume":"227","year":"2024","journal-title":"J. Appl. Geophys."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"104945","DOI":"10.1016\/j.jappgeo.2023.104945","article-title":"The application of a homemade boomer source in offshore seismic survey: From field data acquisition to post-processing","volume":"210","author":"Zheng","year":"2023","journal-title":"J. Appl. Geophys."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"V17","DOI":"10.1190\/geo2015-0325.1","article-title":"Multichannel predictive deconvolution based on the fast iterative shrinkage-thresholding algorithm","volume":"81","author":"Li","year":"2016","journal-title":"Geophysics"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11001-021-09464-8","article-title":"Efficient 2D multiple attenuation using SRME with curvelet-domain subtraction","volume":"43","author":"Lai","year":"2022","journal-title":"Mar. Geophys. Res."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Liu, Z., Zhao, W., and Zhu, Z. (2012). Multiple attenuation using multichannel predictive deconvolution in radial domain. SEG International Exposition and Annual Meeting, SEG.","DOI":"10.1190\/segam2012-0428.1"},{"key":"ref_14","first-page":"5905307","article-title":"Algorithms for Sparse Multichannel Blind Deconvolution","volume":"61","author":"Lopes","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"e2022JB025625","DOI":"10.1029\/2022JB025625","article-title":"Multichannel Sparse Deconvolution of Teleseismic Receiver Functions with f \u2212 x Preconditioning","volume":"128","author":"Sun","year":"2023","journal-title":"J. Geophys. Res.-Solid Earth"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Tan, F., Bao, C., and Zhou, J. (2022). Effective Dereverberation with a Lower Complexity at Presence of the Noise. Appl. Sci., 12.","DOI":"10.3390\/app122211819"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"V345","DOI":"10.1190\/geo2022-0561.1","article-title":"Data and model dual-driven seismic deconvolution via error-constrained joint sparse representation","volume":"88","author":"Wang","year":"2023","journal-title":"Geophysics"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"V263","DOI":"10.1190\/geo2023-0195.1","article-title":"Random noise attenuation of 3D multicomponent seismic data using a fast adaptive prediction filter","volume":"89","author":"Wang","year":"2024","journal-title":"Geophysics"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"V13","DOI":"10.1190\/geo2022-0576.1","article-title":"Generalized internal multiple prediction for low relief structures","volume":"89","author":"Zhang","year":"2024","journal-title":"Geophysics"},{"key":"ref_20","unstructured":"Verschuur, D.J. (2006). Seismic Multiple Removal Techniques: Past, Present and Future, EAGE."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"R281","DOI":"10.1190\/geo2021-0247.1","article-title":"Sparse laterally constrained inversion of surface-wave dispersion curves via minimum gradient support regularization","volume":"87","author":"Guillemoteau","year":"2022","journal-title":"Geophysics"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"V71","DOI":"10.1190\/geo2019-0132.1","article-title":"Multichannel absorption compensation with a data-driven structural regularization","volume":"85","author":"Ma","year":"2020","journal-title":"Geophysics"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1007\/s11770-013-0378-0","article-title":"Estimating primaries by sparse inversion of the 3D curvelet transform and the L1-norm constraint","volume":"10","author":"Feng","year":"2013","journal-title":"Appl. Geophys."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1007\/s10915-022-01906-8","article-title":"Inverting Incomplete Fourier Transforms by a Sparse Regularization Model and Applications in Seismic Wavefield Modeling","volume":"92","author":"Wu","year":"2022","journal-title":"J. Sci. Comput."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Zhang, C., Li, Y., Lin, H.B., Yang, B.J., and Wu, N. (2015, January 1\u20134). Adaptive Threshold Based Shearlet Transform Noise Attenuation Method for Surface Microseismic Data. Proceedings of the 77th EAGE Conference and Exhibition 2015, Madrid, Spain.","DOI":"10.3997\/2214-4609.201413108"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"A45","DOI":"10.1190\/geo2017-0788.1","article-title":"Multicomponent microseismic data denoising by 3D shearlet transform","volume":"83","author":"Zhang","year":"2018","journal-title":"Geophysics"},{"key":"ref_27","first-page":"433","article-title":"Seismic deconvolution with shearlet sparsity constrained inversion","volume":"25","author":"Liu","year":"2016","journal-title":"J. Seism. Explor."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1637","DOI":"10.1109\/LGRS.2019.2949806","article-title":"Seismic Random Noise Reduction Using Adaptive Threshold Combined Scale and Directional Characteristics of Shearlet Transform","volume":"17","author":"Liu","year":"2020","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.acha.2007.09.003","article-title":"Sparse directional image representations using the discrete shearlet transform","volume":"25","author":"Easley","year":"2008","journal-title":"Appl. Comput. Harmon. Anal."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1137\/060649781","article-title":"Optimally Sparse Multidimensional Representation Using Shearlets","volume":"39","author":"Guo","year":"2007","journal-title":"SIAM J. Math. Anal."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1190\/1.1440003","article-title":"Predictive deconvolution-theory and practice","volume":"34","author":"Treitel","year":"1969","journal-title":"Geophysics"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"V91","DOI":"10.1190\/geo2010-0332.1","article-title":"Improving multiple removal using least-squares dip filters and independent component analysis","volume":"76","author":"Donno","year":"2011","journal-title":"Geophysics"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1046\/j.1365-2478.2004.00401.x","article-title":"Adaptive subtraction of multiples using the L1-norm","volume":"52","author":"Guitton","year":"2004","journal-title":"Geophys. Prospect."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1046\/j.1365-2478.1999.00158.x","article-title":"A multichannel approach to long-period multiple prediction and attenuation","volume":"47","author":"Rosenberger","year":"1999","journal-title":"Geophys. Prospect."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1111\/j.1365-2478.1980.tb01209.x","article-title":"Long period sea-floor multiples and their suppression","volume":"28","author":"Taner","year":"1980","journal-title":"Geophys. Prospect."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Taner, M.T., and O\u2019Doherty, R.F. (1990). Conjugate Gradient X-T Deconvolution. SEG Technical Program Expanded Abstracts 1990, SEG.","DOI":"10.1190\/1.1890091"},{"key":"ref_37","first-page":"433","article-title":"Long-period multiple suppression by predictive deconvolution in the x-t domain","volume":"43","author":"Taner","year":"1995","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_38","first-page":"5915010","article-title":"Sparse Time-Frequency Analysis of Seismic Data: Sparse Representation to Unrolled Optimization","volume":"61","author":"Liu","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"9476","DOI":"10.1109\/TGRS.2019.2926772","article-title":"Seismic Signal Denoising and Decomposition Using Deep Neural Networks","volume":"57","author":"Zhu","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"3405","DOI":"10.1049\/iet-ipr.2020.0194","article-title":"Simple algorithm for L1-norm regularisation-based compressed sensing and image restoration","volume":"14","author":"Qin","year":"2020","journal-title":"Iet Image Process."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1190\/1.1444559","article-title":"Reconstruction of band-limited signals, irregularly sampled along one spatial direction","volume":"64","author":"Duijndam","year":"1999","journal-title":"Geophysics"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"V171","DOI":"10.1190\/1.2348633","article-title":"Fourier reconstruction of marine-streamer data in four spatial coordinates","volume":"71","author":"Zwartjes","year":"2006","journal-title":"Geophysics"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"V341","DOI":"10.1190\/geo2015-0598.1","article-title":"Automatic microseismic denoising and onset detection using the synchrosqueezed continuous wavelet transform","volume":"81","author":"Mousavi","year":"2016","journal-title":"Geophysics"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"V19","DOI":"10.1190\/1.2841038","article-title":"Simply denoise: Wavefield reconstruction via jittered undersampling","volume":"73","author":"Hennenfent","year":"2008","journal-title":"Geophysics"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1111\/1365-2478.12576","article-title":"Noise suppression for microseismic data by non-subsampled shearlet transform based on singular value decomposition","volume":"66","author":"Liang","year":"2018","journal-title":"Geophys. Prospect."},{"key":"ref_46","first-page":"301","article-title":"Seismic data reconstruction combining discrete cosine transform and shearlet","volume":"32","author":"Yan","year":"2023","journal-title":"J. Seism. Explor."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1313","DOI":"10.1111\/1365-2478.13232","article-title":"The high-resolution seismic deconvolution method based on joint sparse representation using logging-seismic data","volume":"70","author":"Wang","year":"2022","journal-title":"Geophys. Prospect."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1134\/S1069351317040097","article-title":"The Neural Network Approximation Method for Solving Multidimensional Nonlinear Inverse Problems of Geophysics","volume":"53","author":"Shimelevich","year":"2017","journal-title":"Izv.-Phys. Solid Earth"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"212164","DOI":"10.1016\/j.geoen.2023.212164","article-title":"Time-frequency mixed domain multi-trace simultaneous inversion method","volume":"230","author":"Lin","year":"2023","journal-title":"Geoenergy Sci. Eng."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"V37","DOI":"10.1190\/geo2022-0262.1","article-title":"Sparse prior-net: A sparse prior-based deep network for seismic data interpolation","volume":"89","author":"Wu","year":"2024","journal-title":"Geophysics"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"V153","DOI":"10.1190\/geo2019-0586.1","article-title":"Seismic denoising via truncated nuclear norm minimization","volume":"86","author":"Shao","year":"2021","journal-title":"Geophysics"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"6336","DOI":"10.1109\/TGRS.2020.2976664","article-title":"2-D Seismic Data Reconstruction via Truncated Nuclear Norm Regularization","volume":"58","author":"Zhang","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/16\/2935\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T15:34:33Z","timestamp":1760110473000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/16\/2935"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,10]]},"references-count":52,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2024,8]]}},"alternative-id":["rs16162935"],"URL":"https:\/\/doi.org\/10.3390\/rs16162935","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,10]]}}}