{"_id":"RtEuLfpRLxcZXEapx","bibbaseid":"qu-verschuur-zhang-chen-trainingdeepnetworkswithonlysyntheticdatadeeplearningbasednearoffsetreconstructionforclosedloopsurfacerelatedmultipleestimationonshallowwaterfielddata-2021","author_short":["Qu, S.","Verschuur, E.","Zhang, D.","Chen, Y."],"bibdata":{"bibtype":"article","type":"article","added-at":"2021-12-17T10:39:49.000+0100","author":[{"propositions":[],"lastnames":["Qu"],"firstnames":["Shan"],"suffixes":[]},{"propositions":[],"lastnames":["Verschuur"],"firstnames":["Eric"],"suffixes":[]},{"propositions":[],"lastnames":["Zhang"],"firstnames":["Dong"],"suffixes":[]},{"propositions":[],"lastnames":["Chen"],"firstnames":["Yangkang"],"suffixes":[]}],"biburl":"https://www.bibsonomy.org/bibtex/20761eb4c37196c2706475f3841665e83/annakrause","description":"Training deep networks with only synthetic data: Deep-learning-based near-offset reconstruction for (closed-loop) surface-related multiple estimation on shallow-water field data | GEOPHYSICS","doi":"10.1190/geo2020-0723.1","interhash":"5c8b152bc1c58d223c4d6b2d54930f0b","intrahash":"0761eb4c37196c2706475f3841665e83","journal":"GEOPHYSICS","keywords":"closedloop todo:read","month":"04","number":"3","pages":"A39–A43","publisher":"Society of Exploration Geophysicists","timestamp":"2021-12-17T10:39:49.000+0100","title":"Training deep networks with only synthetic data: Deep-learning-based near-offset reconstruction for (closed-loop) surface-related multiple estimation on shallow-water field data","url":"https://doi.org/10.1190%2Fgeo2020-0723.1","volume":"86","year":"2021","bibtex":"@article{Qu_2021,\n added-at = {2021-12-17T10:39:49.000+0100},\n author = {Qu, Shan and Verschuur, Eric and Zhang, Dong and Chen, Yangkang},\n biburl = {https://www.bibsonomy.org/bibtex/20761eb4c37196c2706475f3841665e83/annakrause},\n description = {Training deep networks with only synthetic data: Deep-learning-based near-offset reconstruction for (closed-loop) surface-related multiple estimation on shallow-water field data | GEOPHYSICS},\n doi = {10.1190/geo2020-0723.1},\n interhash = {5c8b152bc1c58d223c4d6b2d54930f0b},\n intrahash = {0761eb4c37196c2706475f3841665e83},\n journal = {{GEOPHYSICS}},\n keywords = {closedloop todo:read},\n month = {04},\n number = 3,\n pages = {A39--A43},\n publisher = {Society of Exploration Geophysicists},\n timestamp = {2021-12-17T10:39:49.000+0100},\n title = {Training deep networks with only synthetic data: Deep-learning-based near-offset reconstruction for (closed-loop) surface-related multiple estimation on shallow-water field data},\n url = {https://doi.org/10.1190%2Fgeo2020-0723.1},\n volume = 86,\n year = 2021\n}\n\n","author_short":["Qu, S.","Verschuur, E.","Zhang, D.","Chen, Y."],"key":"Qu_2021","id":"Qu_2021","bibbaseid":"qu-verschuur-zhang-chen-trainingdeepnetworkswithonlysyntheticdatadeeplearningbasednearoffsetreconstructionforclosedloopsurfacerelatedmultipleestimationonshallowwaterfielddata-2021","role":"author","urls":{"Paper":"https://doi.org/10.1190%2Fgeo2020-0723.1"},"keyword":["closedloop todo:read"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"http://www.bibsonomy.org/bib/author/zhang?items=1000","dataSources":["6yXn8CtuzyEbCSr2m"],"keywords":["closedloop todo:read"],"search_terms":["training","deep","networks","synthetic","data","deep","learning","based","near","offset","reconstruction","closed","loop","surface","related","multiple","estimation","shallow","water","field","data","qu","verschuur","zhang","chen"],"title":"Training deep networks with only synthetic data: Deep-learning-based near-offset reconstruction for (closed-loop) surface-related multiple estimation on shallow-water field data","year":2021}