{"id":"https://openalex.org/W4214671622","doi":"https://doi.org/10.1109/lgrs.2022.3155633","title":"Land-Cover Change Detection for SAR Images Based on Biobjective Fuzzy Local Information Clustering Method With Decomposition","display_name":"Land-Cover Change Detection for SAR Images Based on Biobjective Fuzzy Local Information Clustering Method With Decomposition","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4214671622","doi":"https://doi.org/10.1109/lgrs.2022.3155633"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3155633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3155633","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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":null,"display_name":"Wei Fang","orcid":"https://orcid.org/0000-0001-8052-0994"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Fang","raw_affiliation_strings":["Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0001-8052-0994","affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100510755","display_name":"Chao Xi","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Xi","raw_affiliation_strings":["Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":1.3168,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.81706466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9861000180244446,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6802427172660828},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6544865965843201},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6347847580909729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6198537945747375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5922749042510986},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.5792323350906372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5738015174865723},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5351304411888123},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5230646729469299},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.4706515371799469},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.46651923656463623},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.46141159534454346},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4481927752494812},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3793222904205322},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34214362502098083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32430562376976013}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6802427172660828},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6544865965843201},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6347847580909729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6198537945747375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5922749042510986},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.5792323350906372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5738015174865723},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5351304411888123},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5230646729469299},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.4706515371799469},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.46651923656463623},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.46141159534454346},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4481927752494812},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3793222904205322},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34214362502098083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32430562376976013},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3155633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3155633","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.5199999809265137,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1064894605","display_name":null,"funder_award_id":"62002137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1337226023","display_name":null,"funder_award_id":"2020B121201001","funder_id":"https://openalex.org/F4320314147","funder_display_name":"Guangdong Provincial Key Laboratory of Urology"},{"id":"https://openalex.org/G1666099774","display_name":null,"funder_award_id":"62073155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4065062805","display_name":null,"funder_award_id":"62106088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4327305291","display_name":null,"funder_award_id":"61673194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5876314344","display_name":null,"funder_award_id":"2017YFC1601800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7181329294","display_name":null,"funder_award_id":"2017YFC1601000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320314147","display_name":"Guangdong Provincial Key Laboratory of Urology","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1755019942","https://openalex.org/W1958497227","https://openalex.org/W1964069486","https://openalex.org/W2018700885","https://openalex.org/W2044976920","https://openalex.org/W2133059825","https://openalex.org/W2146103513","https://openalex.org/W2151137405","https://openalex.org/W2160544350","https://openalex.org/W2165012164","https://openalex.org/W2170140722","https://openalex.org/W2174636480","https://openalex.org/W2254253210","https://openalex.org/W2519112510","https://openalex.org/W2572351443","https://openalex.org/W2811524507","https://openalex.org/W2900150836","https://openalex.org/W2900917945","https://openalex.org/W2921442714","https://openalex.org/W3032051057","https://openalex.org/W3041714401"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W4241911733"],"abstract_inverted_index":{"The":[0,86,159],"existence":[1],"of":[2,10,55,147,155],"a":[3,24,45,80],"speckle":[4,104],"noise":[5],"significantly":[6],"affects":[7],"the":[8,53,64,68,72,94,103,114,120,138,145,148,153,156,164,173],"accuracy":[9],"land-cover":[11],"change":[12,40],"detection":[13,41],"results":[14],"for":[15,113],"synthetic":[16],"aperture":[17],"radar":[18],"(SAR)":[19],"images.":[20],"This":[21],"letter":[22],"proposes":[23],"biobjective":[25,46],"fuzzy":[26,47,130],"local":[27,48],"information":[28,49,70],"clustering":[29,50,107],"method":[30,75,133,166],"with":[31],"decomposition":[32],"(BIFLICM/D)":[33],"to":[34,66,78,118,136,172],"address":[35],"this":[36],"problem.":[37],"SAR":[38],"images":[39,117],"is":[42,76,90,134,167],"described":[43],"as":[44],"problem":[51],"from":[52],"aspects":[54],"preserving":[56],"image":[57,83,89],"details":[58],"and":[59,97,122,151,170],"removing":[60],"noise.":[61,105],"To":[62],"improve":[63,152],"ability":[65],"extract":[67],"original":[69],"detail,":[71],"log-mean":[73],"ratio":[74],"used":[77],"generate":[79],"first":[81],"difference":[82,88,116],"in":[84],"BIFLICM/D.":[85],"second":[87],"achieved":[91],"by":[92],"combining":[93],"homomorphic":[95],"filtering":[96],"saliency":[98],"detection,":[99],"which":[100,142],"effectively":[101],"removes":[102],"Fuzzy":[106],"objective":[108,140],"functions":[109],"are":[110],"then":[111],"constructed":[112],"two":[115,139,149],"recognize":[119],"changed":[121],"unchanged":[123],"pixels":[124],"under":[125],"different":[126],"requirements.":[127],"A":[128],"new":[129],"membership":[131],"degree-updating":[132],"adopted":[135],"optimize":[137],"functions,":[141],"can":[143],"balance":[144],"influences":[146],"objectives":[150],"robustness":[154],"proposed":[157,165],"method.":[158],"experimental":[160],"result":[161],"demonstrates":[162],"that":[163],"more":[168],"effective":[169],"superior":[171],"comparison":[174],"algorithms.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}