{"id":"https://openalex.org/W4362653622","doi":"https://doi.org/10.1109/tgrs.2023.3264560","title":"Multifrequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure","display_name":"Multifrequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4362653622","doi":"https://doi.org/10.1109/tgrs.2023.3264560"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3264560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3264560","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/A5087038469","display_name":"Yice Cao","orcid":"https://orcid.org/0009-0009-4734-4592"},"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":"Yice Cao","raw_affiliation_strings":["Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620718","display_name":"Yan Wu","orcid":"https://orcid.org/0000-0001-7502-2341"},"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":"Yan Wu","raw_affiliation_strings":["Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Image Processing and Fusion Group, School of Electronic Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662583","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-4706-5173"},"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":"Ming Li","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084038832","display_name":"Mingjie Zheng","orcid":"https://orcid.org/0000-0002-3043-0154"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjie Zheng","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088683171","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0002-8065-0948"},"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":"Peng Zhang","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012568710","display_name":"Jili Wang","orcid":"https://orcid.org/0000-0001-6800-492X"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jili Wang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087038469"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":3.0873,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.92362742,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"15"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9724000096321106,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7419925332069397},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5456812977790833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5349769592285156},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5335467457771301},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5030297636985779},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47575658559799194},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4665389358997345},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.442105770111084},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.43568673729896545},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.43352097272872925},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.414043664932251},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34507596492767334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12959125638008118},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.11654162406921387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419925332069397},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5456812977790833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5349769592285156},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5335467457771301},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5030297636985779},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47575658559799194},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4665389358997345},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.442105770111084},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.43568673729896545},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.43352097272872925},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.414043664932251},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34507596492767334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12959125638008118},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.11654162406921387},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3264560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3264560","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":0.5799999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"},{"score":0.4099999964237213,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2395021404","display_name":null,"funder_award_id":"62172321","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1518174407","https://openalex.org/W1566259432","https://openalex.org/W1997697154","https://openalex.org/W2001337397","https://openalex.org/W2045214108","https://openalex.org/W2079043399","https://openalex.org/W2132012856","https://openalex.org/W2135279741","https://openalex.org/W2165170342","https://openalex.org/W2345055757","https://openalex.org/W2406273144","https://openalex.org/W2765739551","https://openalex.org/W2771917915","https://openalex.org/W2791225170","https://openalex.org/W2793182997","https://openalex.org/W2885683051","https://openalex.org/W2900431000","https://openalex.org/W2907492528","https://openalex.org/W2923133717","https://openalex.org/W2930359273","https://openalex.org/W2964015378","https://openalex.org/W2976487838","https://openalex.org/W2989067579","https://openalex.org/W2998674125","https://openalex.org/W3003720284","https://openalex.org/W3004187475","https://openalex.org/W3047443805","https://openalex.org/W3103333135","https://openalex.org/W3103695279","https://openalex.org/W3132371805","https://openalex.org/W3137391901","https://openalex.org/W3160731713","https://openalex.org/W3165071532","https://openalex.org/W3201461236","https://openalex.org/W3204731106","https://openalex.org/W3213652478","https://openalex.org/W4206522033","https://openalex.org/W4237764598","https://openalex.org/W4293144804","https://openalex.org/W6726873649","https://openalex.org/W6738964360"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W2043913960","https://openalex.org/W3129683637"],"abstract_inverted_index":{"Compared":[0],"with":[1],"the":[2,18,28,48,57,81,97,111,118,131,139,151,163,176,208,224,231,246],"rapid":[3],"development":[4],"of":[5,22,99,113,141,165,178,213,230],"single-frequency":[6],"polarimetric":[7],"SAR":[8],"(PolSAR)":[9],"image":[10],"classification":[11,21,76,84,89,179,211,256],"technology,":[12],"there":[13],"is":[14,45,51,126,158,196,234],"less":[15],"research":[16],"on":[17,37,66,223,239],"land":[19,170],"cover":[20,171],"multi-frequency":[23],"PolSAR":[24],"(MF-PolSAR)":[25],"images.":[26],"And":[27],"deep":[29,132],"learning":[30],"methods":[31],"among":[32,135],"them":[33],"are":[34,220],"mainly":[35],"based":[36,65,222],"convolutional":[38],"neural":[39],"networks":[40],"(CNNs),":[41],"only":[42,94],"local":[43,104],"spatiality":[44],"considered":[46],"but":[47,101],"nonlocal":[49,70,106,166,186],"relationship":[50],"ignored.":[52],"Therefore,":[53],"this":[54,174],"paper":[55],"proposes":[56],"MF":[58,191,209],"semantics":[59],"and":[60,69,86,105,154,215],"topology":[61],"fusion":[62,193],"(MF-STF)":[63],"model":[64,130,226],"semantic":[67,82,133],"interaction":[68],"topological":[71,87,167],"structure":[72],"to":[73,109,128,143,160,198,206],"improve":[74,110],"MF-PolSAR":[75,242],"performance.":[77],"During":[78],"MF-STF":[79,251],"optimization,":[80],"information-based":[83],"(SIC)":[85],"property-based":[88],"(TPC)":[90],"work":[91],"collaboratively,":[92],"not":[93],"fully":[95],"leveraging":[96,138],"complementarity":[98,140],"bands,":[100,136,203],"also":[102],"combining":[103,185],"spatial":[107,187],"information":[108],"discrimination":[112],"different":[114,202],"categories.":[115,172],"For":[116],"SIC,":[117],"designed":[119],"cross-band":[120],"interactive":[121],"feature":[122],"extraction":[123],"(CIFE)":[124],"module":[125],"embedded":[127],"explicitly":[129],"correlation":[134],"thereby":[137],"bands":[142],"make":[144,207],"ground":[145],"objects":[146],"more":[147,254],"separable.":[148],"In":[149,173,244],"TPC,":[150],"graph":[152],"sample":[153],"aggregate":[155],"network":[156],"(GraphSAGE)":[157],"employed":[159],"dynamically":[161],"capture":[162],"representation":[164],"relations":[168],"between":[169],"way,":[175],"robustness":[177],"can":[180,252],"be":[181],"further":[182],"improved":[183],"by":[184,236],"information.":[188],"Finally,":[189],"a":[190],"weighted":[192],"(MFWF)":[194],"strategy":[195],"proposed":[197,232],"merge":[199],"inference":[200],"from":[201],"so":[204],"as":[205],"joint":[210],"decisions":[212],"SIC":[214],"TPC.":[216],"Notably,":[217],"its":[218],"weights":[219],"adjusted":[221],"total":[225],"loss.":[227],"The":[228],"effectiveness":[229],"modules":[233],"proved":[235],"ablation":[237],"experiments":[238,248],"three":[240],"measured":[241],"datasets.":[243],"addition,":[245],"comparative":[247],"show":[249],"that":[250],"achieve":[253],"competitive":[255],"performance":[257],"than":[258],"some":[259],"state-of-the-art":[260],"methods.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}