{"id":"https://openalex.org/W3081345704","doi":"https://doi.org/10.1109/tgrs.2020.3015389","title":"Collaborative Attention-Based Heterogeneous Gated Fusion Network for Land Cover Classification","display_name":"Collaborative Attention-Based Heterogeneous Gated Fusion Network for Land Cover Classification","publication_year":2020,"publication_date":"2020-08-24","ids":{"openalex":"https://openalex.org/W3081345704","doi":"https://doi.org/10.1109/tgrs.2020.3015389","mag":"3081345704"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3015389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3015389","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/A5100755904","display_name":"Xiao Li","orcid":"https://orcid.org/0000-0002-2406-3781"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao Li","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027874662","display_name":"Lin Lei","orcid":"https://orcid.org/0000-0002-7106-5528"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Lei","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051077603","display_name":"Yuli Sun","orcid":"https://orcid.org/0000-0002-1828-0392"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuli Sun","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347948","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-1706-1956"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059814547","display_name":"Guangyao Kuang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyao Kuang","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100755904"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":4.3901,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.95087625,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"59","issue":"5","first_page":"3829","last_page":"3845"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9682999849319458,"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/computer-science","display_name":"Computer science","score":0.7671568989753723},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7454211711883545},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6383446455001831},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6362493634223938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5676833987236023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5296012759208679},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5246807932853699},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5174427628517151},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4808864891529083},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4738388657569885},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4585011899471283},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43941208720207214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3446570932865143},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.16994896531105042},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08508074283599854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7671568989753723},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7454211711883545},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6383446455001831},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6362493634223938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5676833987236023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5296012759208679},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5246807932853699},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5174427628517151},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4808864891529083},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4738388657569885},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4585011899471283},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43941208720207214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3446570932865143},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.16994896531105042},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08508074283599854},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/tgrs.2020.3015389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3015389","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":[{"score":0.6399999856948853,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1570160752","display_name":null,"funder_award_id":"61971426","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W859380157","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W2064675550","https://openalex.org/W2082874195","https://openalex.org/W2108598243","https://openalex.org/W2124386111","https://openalex.org/W2130578993","https://openalex.org/W2148463593","https://openalex.org/W2157331557","https://openalex.org/W2163605009","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2307094448","https://openalex.org/W2463565445","https://openalex.org/W2480078828","https://openalex.org/W2519205375","https://openalex.org/W2582131889","https://openalex.org/W2587989515","https://openalex.org/W2604086375","https://openalex.org/W2609822318","https://openalex.org/W2632026579","https://openalex.org/W2739671343","https://openalex.org/W2754395699","https://openalex.org/W2760923572","https://openalex.org/W2765739551","https://openalex.org/W2774688698","https://openalex.org/W2781850144","https://openalex.org/W2782345990","https://openalex.org/W2786995169","https://openalex.org/W2788647998","https://openalex.org/W2792119716","https://openalex.org/W2798737220","https://openalex.org/W2814869128","https://openalex.org/W2884367402","https://openalex.org/W2884585870","https://openalex.org/W2901578516","https://openalex.org/W2903771523","https://openalex.org/W2907034392","https://openalex.org/W2908261567","https://openalex.org/W2913898248","https://openalex.org/W2920981979","https://openalex.org/W2925552749","https://openalex.org/W2940939359","https://openalex.org/W2949117887","https://openalex.org/W2951529591","https://openalex.org/W2955084925","https://openalex.org/W2963050774","https://openalex.org/W2963150162","https://openalex.org/W2963150697","https://openalex.org/W2963668159","https://openalex.org/W2963995737","https://openalex.org/W2964057271","https://openalex.org/W2964126458","https://openalex.org/W2975233290","https://openalex.org/W2996553655","https://openalex.org/W2997564896","https://openalex.org/W3010622813","https://openalex.org/W3014509175","https://openalex.org/W3100921056","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6681753794","https://openalex.org/W6684191040","https://openalex.org/W6719057275","https://openalex.org/W6726790931","https://openalex.org/W6733328719","https://openalex.org/W6733387591","https://openalex.org/W6747658691","https://openalex.org/W6748181105","https://openalex.org/W6750627236","https://openalex.org/W6753412334","https://openalex.org/W6753561479","https://openalex.org/W6761021795","https://openalex.org/W6780493881"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2761785940","https://openalex.org/W2043913960"],"abstract_inverted_index":{"Existing":[0],"land":[1,48,88,192,213],"cover":[2,49,89,214],"classification":[3,215],"methods":[4,219],"mostly":[5],"rely":[6],"on":[7,220],"either":[8],"the":[9,20,34,57,62,93,109,139,159,169,180,208,217],"optical":[10,25,43,63,83,116,132,143,162,185,200,223],"or":[11],"synthetic":[12],"aperture":[13],"radar":[14],"(SAR)":[15],"features":[16,40,86,165,188],"alone,":[17],"which":[18,51,79,152],"ignore":[19],"mutual":[21],"complementary":[22,59],"effects":[23],"between":[24,61,142,161],"and":[26,44,64,84,108,117,133,144,163,186,201,224],"SAR":[27,45,65,85,118,134,145,164,187,202,225],"sources.":[28],"In":[29],"this":[30],"article,":[31],"we":[32,68],"compare":[33],"distribution":[35],"histograms":[36],"of":[37,96,183,210],"deep":[38],"semantic":[39],"extracted":[41],"from":[42],"modalities":[46],"within":[47,212],"categories,":[50,193],"intuitively":[52],"demonstrates":[53],"that":[54],"there":[55],"are":[56],"large":[58],"potentials":[60],"features.":[66,135,203],"Therefore,":[67],"propose":[69],"a":[70],"novel":[71],"collaborative":[72,104,170],"attention-based":[73],"heterogeneous":[74,111],"gated":[75,110],"fusion":[76,112],"network":[77],"(CHGFNet),":[78],"hierarchically":[80],"fuses":[81],"both":[82,184,199],"for":[87,189],"classification.":[90],"More":[91],"specifically,":[92],"CHGFNet":[94,211],"consists":[95],"three":[97,221],"main":[98],"components:":[99],"two-stream":[100,121],"feature":[101,122,126,174],"extractor,":[102],"multimodal":[103],"attention":[105,171],"module":[106,113],"(MCAM),":[107],"(GHFM).":[114],"Given":[115],"patch":[119],"pairs,":[120],"extractor":[123],"introduces":[124],"multistage":[125],"learning":[127],"methodology":[128],"to":[129,137,157,177,197],"acquire":[130],"discriminative":[131],"Then,":[136],"explore":[138],"inherent":[140],"complementarity":[141],"features,":[146],"MCAM":[147],"is":[148,195],"embedded":[149],"into":[150],"CHGFNet,":[151],"provides":[153],"an":[154],"efficient":[155],"stage":[156],"capture":[158],"correlation":[160],"by":[166],"jointly":[167],"calculating":[168],"in":[172],"joint":[173],"space.":[175],"Finally,":[176],"automatically":[178],"learn":[179],"varying":[181],"contributions":[182],"classifying":[190],"different":[191],"GHFM":[194],"used":[196],"fuse":[198],"Extensive":[204],"comparative":[205],"evaluations":[206],"demonstrate":[207],"advantages":[209],"over":[216],"state-of-the-art":[218],"co-registered":[222],"data":[226],"sets.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}