{"id":"https://openalex.org/W4404687912","doi":"https://doi.org/10.1109/lgrs.2024.3505873","title":"A Stable Method for Estimating the Derivatives of Potential Field Data Based on Deep Learning","display_name":"A Stable Method for Estimating the Derivatives of Potential Field Data Based on Deep Learning","publication_year":2024,"publication_date":"2024-11-25","ids":{"openalex":"https://openalex.org/W4404687912","doi":"https://doi.org/10.1109/lgrs.2024.3505873"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3505873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3505873","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044240019","display_name":"Yandong Liu","orcid":"https://orcid.org/0000-0003-1290-494X"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yandong Liu","raw_affiliation_strings":["School of Geophysics and Information Technology, China University of Geosciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1290-494X","affiliations":[{"raw_affiliation_string":"School of Geophysics and Information Technology, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024939647","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0001-7266-9625"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["School of Geophysics and Information Technology, China University of Geosciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7266-9625","affiliations":[{"raw_affiliation_string":"School of Geophysics and Information Technology, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104216473","display_name":"Weichen Li","orcid":"https://orcid.org/0000-0003-4380-5098"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weichen Li","raw_affiliation_strings":["School of Geophysics and Information Technology, China University of Geosciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4380-5098","affiliations":[{"raw_affiliation_string":"School of Geophysics and Information Technology, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102658772","display_name":"Fang Li","orcid":"https://orcid.org/0009-0007-1534-4374"},"institutions":[{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Li","raw_affiliation_strings":["China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-1534-4374","affiliations":[{"raw_affiliation_string":"China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China","institution_ids":["https://openalex.org/I2799486974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088348951","display_name":"Yuan Fang","orcid":"https://orcid.org/0000-0003-2624-7514"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Fang","raw_affiliation_strings":["School of Geophysics and Information Technology, China University of Geosciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geophysics and Information Technology, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101023046","display_name":"Xiaohong Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Meng","raw_affiliation_strings":["School of Geophysics and Information Technology, China University of Geosciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geophysics and Information Technology, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5583,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91959514,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.07490000128746033,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.07490000128746033,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.07029999792575836,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.07029999792575836,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6541213989257812},{"id":"https://openalex.org/keywords/potential-field","display_name":"Potential field","score":0.5536667108535767},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.551387369632721},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4957922399044037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4608021080493927},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4309839606285095},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3159286379814148},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15550419688224792},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14021596312522888},{"id":"https://openalex.org/keywords/geophysics","display_name":"Geophysics","score":0.12245896458625793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6541213989257812},{"id":"https://openalex.org/C2986897749","wikidata":"https://www.wikidata.org/wiki/Q231761","display_name":"Potential field","level":2,"score":0.5536667108535767},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.551387369632721},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4957922399044037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4608021080493927},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4309839606285095},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3159286379814148},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15550419688224792},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14021596312522888},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.12245896458625793},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3505873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3505873","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2202090328","display_name":null,"funder_award_id":"2023YFB3907703","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1969036580","https://openalex.org/W1984886644","https://openalex.org/W2003050046","https://openalex.org/W2020868130","https://openalex.org/W2026630569","https://openalex.org/W2790359862","https://openalex.org/W2795617590","https://openalex.org/W2991124527","https://openalex.org/W3084135379","https://openalex.org/W3183127044","https://openalex.org/W3203774316","https://openalex.org/W4225130395","https://openalex.org/W4288461311","https://openalex.org/W4309348844","https://openalex.org/W4313044059","https://openalex.org/W4318825481","https://openalex.org/W4387908962","https://openalex.org/W4389948820","https://openalex.org/W4394744227","https://openalex.org/W4396669245","https://openalex.org/W4398775897"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2804383999","https://openalex.org/W4380075502"],"abstract_inverted_index":{"The":[0,84,137,164],"estimation":[1,43],"of":[2,9,20,44,52,61,74,106,126,133,159],"the":[3,27,41,50,59,62,72,88,100,104,113,116,120,124,131,149,156,168,177],"derivatives":[4,28,73,105,132,158,175],"is":[5,47,55,82,140],"an":[6],"important":[7],"part":[8],"potential":[10,75,107,134],"field":[11,76,108,135],"data":[12,46,77,102,144,147],"processing":[13],"and":[14,30,49,93,103,128,145,173],"interpretation.":[15],"In":[16],"literature,":[17],"a":[18,67,95],"lot":[19],"methods":[21,34,64],"have":[22,36],"been":[23],"presented":[24],"to":[25,122],"estimate":[26,130],"accurately":[29],"stably.":[31],"However,":[32],"existing":[33],"still":[35],"some":[37,53],"limitations.":[38],"For":[39],"example,":[40],"derivative":[42],"high-noise":[45],"unstable,":[48],"determination":[51],"parameters":[54],"difficult.":[56],"To":[57],"solve":[58],"problems":[60],"classical":[63],"mentioned":[65],"above,":[66],"stable":[68,172],"method":[69,86,139,170],"for":[70],"estimating":[71,155],"based":[78,90],"on":[79,91,142],"deep":[80],"learning":[81],"proposed.":[83],"proposed":[85,117,138,169],"constructs":[87],"network":[89,118],"U-Net":[92],"builds":[94],"nonlinear":[96],"mapping":[97],"relationship":[98],"between":[99],"noisy":[101,178],"data.":[109,136,179],"After":[110],"training":[111],"with":[112,176],"designed":[114],"datasets,":[115],"achieved":[119],"ability":[121],"eliminate":[123],"influence":[125],"noise":[127],"intelligently":[129],"tested":[141],"synthetic":[143],"real":[146],"in":[148],"Goi\u00e1s":[150],"Alkaline":[151],"Province,":[152],"Brazil,":[153],"taking":[154],"vertical":[157],"gravity":[160],"anomaly":[161],"as":[162],"examples.":[163],"results":[165],"indicate":[166],"that":[167],"generates":[171],"accurate":[174]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
