{"id":"https://openalex.org/W4285232409","doi":"https://doi.org/10.1109/tgrs.2022.3183080","title":"Geological Remote Sensing Interpretation Using Deep Learning Feature and an Adaptive Multisource Data Fusion Network","display_name":"Geological Remote Sensing Interpretation Using Deep Learning Feature and an Adaptive Multisource Data Fusion Network","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285232409","doi":"https://doi.org/10.1109/tgrs.2022.3183080"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3183080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3183080","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5100750908","display_name":"Wei Han","orcid":"https://orcid.org/0000-0003-3882-1616"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Han","raw_affiliation_strings":["School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3882-1616","affiliations":[{"raw_affiliation_string":"School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1613-9448","affiliations":[{"raw_affiliation_string":"School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371229","display_name":"Sheng Wang","orcid":"https://orcid.org/0000-0001-5904-5674"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Wang","raw_affiliation_strings":["School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431681","display_name":"Xinyu Zhang","orcid":"https://orcid.org/0000-0001-8159-3132"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Zhang","raw_affiliation_strings":["School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8159-3132","affiliations":[{"raw_affiliation_string":"School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085056163","display_name":"Yusen Dong","orcid":"https://orcid.org/0000-0002-6424-0623"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yusen Dong","raw_affiliation_strings":["School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6424-0623","affiliations":[{"raw_affiliation_string":"School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058213496","display_name":"Runyu Fan","orcid":"https://orcid.org/0000-0002-5259-5670"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runyu Fan","raw_affiliation_strings":["School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5259-5670","affiliations":[{"raw_affiliation_string":"School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431073","display_name":"Xiaohan Zhang","orcid":"https://orcid.org/0000-0002-6337-1373"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Zhang","raw_affiliation_strings":["School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6337-1373","affiliations":[{"raw_affiliation_string":"School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009116003","display_name":"Lizhe Wang","orcid":"https://orcid.org/0000-0003-2766-0845"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhe Wang","raw_affiliation_strings":["School of Computer Science, the Hubei Key Laboratory of Intelligent Geo-Information Processing, and the Key Laboratory of Geological Survey and Evaluation of the Ministry of Education, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2766-0845","affiliations":[{"raw_affiliation_string":"School of Computer Science, the Hubei Key Laboratory of Intelligent Geo-Information Processing, and the Key Laboratory of Geological Survey and Evaluation of the Ministry of Education, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":10.1034,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.98509496,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9706000089645386,"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/pooling","display_name":"Pooling","score":0.6513832211494446},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.627142071723938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5926382541656494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5227211117744446},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.515152096748352},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.510870635509491},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4627727270126343},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.452359676361084},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.44274473190307617},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.4284232556819916},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3222755789756775},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.29078924655914307},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1001763641834259}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6513832211494446},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.627142071723938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5926382541656494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5227211117744446},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.515152096748352},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.510870635509491},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4627727270126343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.452359676361084},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44274473190307617},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.4284232556819916},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3222755789756775},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.29078924655914307},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1001763641834259},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3183080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3183080","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G509352352","display_name":null,"funder_award_id":"41925007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6611040594","display_name":null,"funder_award_id":"162301212697","funder_id":"https://openalex.org/F4320328899","funder_display_name":"China University of Geosciences"},{"id":"https://openalex.org/G7663523707","display_name":null,"funder_award_id":"U21A2013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328899","display_name":"China University of Geosciences","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1963607549","https://openalex.org/W2024484366","https://openalex.org/W2052195912","https://openalex.org/W2082140503","https://openalex.org/W2099741732","https://openalex.org/W2127229869","https://openalex.org/W2194775991","https://openalex.org/W2526965274","https://openalex.org/W2605793178","https://openalex.org/W2609077090","https://openalex.org/W2630837129","https://openalex.org/W2740311783","https://openalex.org/W2749751926","https://openalex.org/W2765280539","https://openalex.org/W2770429219","https://openalex.org/W2789772486","https://openalex.org/W2884585870","https://openalex.org/W2949663102","https://openalex.org/W2955058313","https://openalex.org/W2963516811","https://openalex.org/W2982083293","https://openalex.org/W2989933183","https://openalex.org/W2997394324","https://openalex.org/W3004713282","https://openalex.org/W3014641072","https://openalex.org/W3015860713","https://openalex.org/W3019659794","https://openalex.org/W3026303927","https://openalex.org/W3097947628","https://openalex.org/W3112264198","https://openalex.org/W3115319128","https://openalex.org/W3118328374","https://openalex.org/W3122050197","https://openalex.org/W3133902755","https://openalex.org/W3140885850","https://openalex.org/W3158613395","https://openalex.org/W3196904463","https://openalex.org/W3205944634","https://openalex.org/W3207074533","https://openalex.org/W3208943037","https://openalex.org/W4211178993","https://openalex.org/W4239072543","https://openalex.org/W6622461414","https://openalex.org/W6737170303","https://openalex.org/W6739696289"],"related_works":["https://openalex.org/W2022849497","https://openalex.org/W3081299480","https://openalex.org/W2407190427","https://openalex.org/W2919210741","https://openalex.org/W2907584218","https://openalex.org/W3002446410","https://openalex.org/W4390224712","https://openalex.org/W4322096758","https://openalex.org/W4206776094","https://openalex.org/W3154920669"],"abstract_inverted_index":{"Geological":[0],"remote":[1,59,134,241,274],"sensing":[2,60,135,242,275],"interpretation":[3,43,82,101,130],"can":[4],"extract":[5,170],"elements":[6,86,202,251],"of":[7,12,39,45,83,103,131,152,252,266],"interest":[8],"from":[9,149],"multiple":[10,84,132],"types":[11],"images,":[13],"which":[14,89],"is":[15,87,90,233],"vital":[16],"in":[17,23,58,92,111,196,221,272],"geological":[18,40,71,85,112,133,201,250,273],"survey":[19,113],"and":[20,36,79,106,114,146,162,171,239,257,269],"mapping,":[21,115],"especially":[22],"inaccessible":[24],"regions.":[25],"However,":[26],"due":[27],"to":[28,67,168,184,189,247],"numerous":[29],"classes,":[30],"high":[31],"interclass":[32],"similarities,":[33],"complex":[34],"distributions,":[35],"sample":[37,191],"imbalances":[38],"elements,":[41],"the":[42,95,100,108,128,156,206,213,222,234,264],"results":[44,102,262],"machine-learning":[46],"(ML)-based":[47],"methods":[48,105],"are":[49,166],"understandably":[50],"worse":[51],"than":[52,219],"manual":[53],"visual":[54],"interpretation.":[55,276],"Additionally,":[56],"scholars":[57],"have":[61,244],"mainly":[62],"carried":[63],"out":[64],"their":[65],"works":[66],"interpret":[68,249],"a":[69,118],"single":[70],"element":[72],"category,":[73],"such":[74],"as":[75,205,227],"mineral,":[76],"lithological,":[77],"soil":[78],"structure.":[80],"The":[81,137,209,259],"missing,":[88],"more":[91,218],"line":[93],"with":[94,199],"open":[96],"world.":[97],"To":[98],"improve":[99],"ML-based":[104],"reduce":[107],"labor":[109],"cost":[110],"we":[116,228],"propose":[117],"deep-learning":[119],"(DL)-feature-based":[120],"adaptive":[121],"multi-source":[122,240],"data":[123,153],"fusion":[124],"network":[125],"(AMSDFNet)":[126],"for":[127,142],"efficient":[129],"elements.":[136],"AMSDFNet":[138],"has":[139],"two":[140,150,214],"branches":[141],"learning":[143],"valuable":[144],"spatial":[145,158],"spectral":[147],"information":[148],"kinds":[151],"sources,":[154],"wherein":[155],"atrous":[157],"pyramid":[159],"pooling":[160],"operation":[161],"an":[163],"attention":[164],"block":[165],"applied":[167],"adaptively":[169],"fuse":[172],"multi-scale":[173],"informative":[174],"features.":[175],"A":[176,193],"hard":[177],"example":[178],"mining":[179],"algorithm":[180],"was":[181,203],"also":[182],"added":[183],"select":[185],"important":[186],"training":[187],"examples":[188],"address":[190],"imbalance.":[192],"large-scale":[194],"region":[195],"western":[197],"China":[198],"sufficient":[200],"set":[204],"research":[207,231],"area.":[208],"proposed":[210],"model":[211,271],"improved":[212],"critical":[215],"metrics":[216],"by":[217],"2%":[220],"experiment":[223],"section.":[224],"As":[225],"far":[226],"know,":[229],"this":[230],"work":[232],"first":[235],"time":[236],"DL":[237,267],"features":[238,268],"images":[243],"been":[245],"utilized":[246],"simultaneously":[248],"lithology,":[253],"soil,":[254],"surface":[255],"water,":[256],"glaciers.":[258],"extensive":[260],"experimental":[261],"demonstrated":[263],"superiority":[265],"our":[270]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
