{"id":"https://openalex.org/W3202929919","doi":"https://doi.org/10.1109/igarss39084.2020.9547215","title":"Weakly Supervised Land Cover Classification Method For Large-Scale Multi-Resolution Labeled Satellite Images Data Sets","display_name":"Weakly Supervised Land Cover Classification Method For Large-Scale Multi-Resolution Labeled Satellite Images Data Sets","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3202929919","doi":"https://doi.org/10.1109/igarss39084.2020.9547215","mag":"3202929919"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9547215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9547215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 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/A5012033443","display_name":"Shuting Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuting Yin","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004185546","display_name":"Dafan Chen","orcid":"https://orcid.org/0000-0002-1100-9698"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dafan Chen","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018593465","display_name":"Chengconghui Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengconghui Ma","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071254977","display_name":"Yanchao Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Lian","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100453075","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0002-5669-9354"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5012033443"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.1887,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60896043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"7070","last_page":"7073"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9961000084877014,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8075864911079407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7548770904541016},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6423982977867126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6158466339111328},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5594574213027954},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4915812909603119},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.45008721947669983},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4299241304397583},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4286000430583954},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.42335814237594604},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42313000559806824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41972577571868896},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.41673290729522705},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4089752733707428},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17016243934631348},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.16583466529846191},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08905607461929321}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8075864911079407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7548770904541016},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6423982977867126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6158466339111328},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5594574213027954},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4915812909603119},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.45008721947669983},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4299241304397583},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4286000430583954},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.42335814237594604},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42313000559806824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41972577571868896},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.41673290729522705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4089752733707428},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17016243934631348},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.16583466529846191},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08905607461929321},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9547215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9547215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6700000166893005,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2100495367","https://openalex.org/W2132424470","https://openalex.org/W2899315938","https://openalex.org/W2920254659","https://openalex.org/W2964309882","https://openalex.org/W2973660294","https://openalex.org/W2999628870","https://openalex.org/W3011578373","https://openalex.org/W3047067521","https://openalex.org/W6639824700","https://openalex.org/W6748481559","https://openalex.org/W6774245166"],"related_works":["https://openalex.org/W4312531262","https://openalex.org/W4388103534","https://openalex.org/W4318142952","https://openalex.org/W2072070946","https://openalex.org/W2786391746","https://openalex.org/W2991483587","https://openalex.org/W4381430104","https://openalex.org/W2995102745","https://openalex.org/W4226059458","https://openalex.org/W2914559142"],"abstract_inverted_index":{"The":[0,121],"global":[1],"land":[2,14,54],"cover":[3,55],"map":[4],"obtained":[5],"by":[6],"satellite":[7],"is":[8,48,73,127],"of":[9,20,35,44,49,98,123,134,170,177,184],"vital":[10],"importance":[11],"to":[12,32,75,104,115,130,156],"record":[13],"information.":[15],"Despite":[16],"the":[17,42,59,99,117,124,132,140,161,166,178],"large":[18],"amount":[19],"data":[21,38,151],"acquired,":[22],"rare":[23],"annotations":[24],"are":[25,62,70,102,113],"available.":[26],"Weakly-supervised":[27],"learning":[28,91],"methods":[29],"can":[30,84],"help":[31],"get":[33],"use":[34],"extensive":[36],"existing":[37],"resources":[39],"and":[40,64,66,92,108,153],"reduce":[41],"cost":[43],"manual":[45],"labeling,":[46],"which":[47,72,112],"great":[50],"significance":[51],"for":[52],"large-scale":[53],"mapping.":[56],"Considering":[57],"that":[58,67,83],"low-resolution":[60],"labels":[61,69,97],"inaccurate":[63],"inexact":[65],"high-resolution":[68,96,141],"rare,":[71],"likely":[74],"cause":[76],"training":[77,118,133,155],"overfitting,":[78],"we":[79],"propose":[80],"a":[81],"method":[82,164],"effectively":[85],"apply":[86],"multi-resolution":[87],"labels,":[88],"combining":[89],"machine":[90],"deep":[93],"learning.":[94],"First,":[95],"validation":[100],"set":[101,119],"used":[103,129],"train":[105],"DeepLabv3+":[106],"(DLv3)":[107],"Random":[109],"Forest":[110],"(RF),":[111],"applied":[114],"predict":[116],"then.":[120],"intersection":[122],"prediction":[125],"results":[126],"then":[128],"supervise":[131],"DLv3":[135],"as":[136,148],"pseudo-labels":[137],"together":[138],"with":[139],"labels.":[142],"We":[143],"also":[144],"added":[145],"strategies":[146],"such":[147],"model":[149],"fusion,":[150],"augmentation":[152],"weighted":[154],"improve":[157],"classification":[158],"accuracy.":[159],"In":[160],"end,":[162],"our":[163],"achieves":[165],"average":[167],"accuracy":[168],"(AA)":[169],"0.609,":[171],"ranking":[172],"3rd":[173],"in":[174],"Track":[175],"2":[176],"IEEE":[179],"Data":[180],"Fusion":[181],"Contest":[182],"(DFC)":[183],"2020.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}