{"id":"https://openalex.org/W2901692736","doi":"https://doi.org/10.1109/igarss.2018.8518295","title":"Multi-Source Remote Sensing Data Classification via Fully Convolutional Networks and Post-Classification Processing","display_name":"Multi-Source Remote Sensing Data Classification via Fully Convolutional Networks and Post-Classification Processing","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901692736","doi":"https://doi.org/10.1109/igarss.2018.8518295","mag":"2901692736"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8518295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5068885379","display_name":"Yonghao Xu","orcid":"https://orcid.org/0000-0002-6857-0152"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghao Xu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, P. R. China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["School of Computer, Wuhan University, Wuhan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Wuhan University, Wuhan, P. R. China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, P. R. China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7652,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.94045046,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3852","last_page":"3855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9970999956130981,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7096184492111206},{"id":"https://openalex.org/keywords/cohens-kappa","display_name":"Cohen's kappa","score":0.6460603475570679},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6359738707542419},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6244236826896667},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.531728982925415},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5171079635620117},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5060986876487732},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5018811225891113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4910297393798828},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44391822814941406},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39334702491760254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1471463143825531},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07796788215637207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7096184492111206},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.6460603475570679},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6359738707542419},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6244236826896667},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.531728982925415},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5171079635620117},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5060986876487732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5018811225891113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4910297393798828},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44391822814941406},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39334702491760254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1471463143825531},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07796788215637207},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8518295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309549","display_name":"University of Houston","ror":"https://ror.org/040vwpm13"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1903029394","https://openalex.org/W2549994478","https://openalex.org/W2625894731","https://openalex.org/W2741377155","https://openalex.org/W2744049245","https://openalex.org/W2800371750","https://openalex.org/W2964121744"],"related_works":["https://openalex.org/W2104177156","https://openalex.org/W2031928588","https://openalex.org/W2030080266","https://openalex.org/W2805400851","https://openalex.org/W2463883205","https://openalex.org/W2140940625","https://openalex.org/W4241000610","https://openalex.org/W2900316983","https://openalex.org/W4385977169","https://openalex.org/W3136189581"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,85],"new":[4],"data":[5,17,27],"fusion":[6],"methodology":[7],"named":[8],"Fusion-FCN":[9],"for":[10],"the":[11,41,45,60,68,72,94],"classification":[12],"of":[13,26,82,88],"multi-source":[14],"remote":[15],"sensing":[16],"using":[18],"fully":[19],"convolutional":[20],"networks":[21],"(FCNs).":[22],"Three":[23],"different":[24,64],"types":[25],"including":[28],"LiDAR":[29],"data,":[30],"hyperspectral":[31],"images":[32,37],"and":[33,52,84],"very":[34],"high":[35],"resolution":[36],"are":[38],"utilized":[39],"in":[40,93],"proposed":[42,73,76],"framework.":[43],"Considering":[44],"confusions":[46],"between":[47],"similar":[48],"categories":[49],"(e.g.,":[50],"road":[51],"highway),":[53],"we":[54],"further":[55],"implement":[56],"post-classification":[57],"processing":[58],"with":[59],"topological":[61],"relationship":[62],"among":[63],"objects":[65],"based":[66],"on":[67],"result":[69],"yielded":[70],"by":[71],"Fusion-FCN.":[74],"The":[75],"method":[77],"achieved":[78],"an":[79],"overall":[80],"accuracy":[81],"80.78%":[83],"kappa":[86],"coefficient":[87],"0.80,":[89],"which":[90],"ranked":[91],"first":[92],"2018":[95],"IEEE":[96],"GRSS":[97],"Data":[98],"Fusion":[99],"Contest.":[100]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}