{"id":"https://openalex.org/W4404371563","doi":"https://doi.org/10.1109/tgrs.2024.3498034","title":"FCFDA: Fine\u2013Coarse\u2013Fine Progressive Graph Framework With Distribution Alignment for Hyperspectral Image Change Detection","display_name":"FCFDA: Fine\u2013Coarse\u2013Fine Progressive Graph Framework With Distribution Alignment for Hyperspectral Image Change Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404371563","doi":"https://doi.org/10.1109/tgrs.2024.3498034"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3498034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3498034","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/A5081858251","display_name":"Bing Yang","orcid":"https://orcid.org/0000-0002-3256-8405"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bing Yang","raw_affiliation_strings":["College of Sciences, China Jiliang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3256-8405","affiliations":[{"raw_affiliation_string":"College of Sciences, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008056593","display_name":"Shirui Pan","orcid":"https://orcid.org/0000-0003-0794-527X"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shirui Pan","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Southport, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0794-527X","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Southport, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050009113","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0003-3399-7858"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Sun","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0003-3399-7858","affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020327777","display_name":"Ziyang Guo","orcid":"https://orcid.org/0009-0004-4200-6774"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Guo","raw_affiliation_strings":["Department of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075247836","display_name":"Zhijing Ye","orcid":"https://orcid.org/0000-0002-0369-4795"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Zhijing Ye","raw_affiliation_strings":["Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-0369-4795","affiliations":[{"raw_affiliation_string":"Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036030486","display_name":"Jiangtao Peng","orcid":"https://orcid.org/0000-0002-4759-0584"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Peng","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4759-0584","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5081858251"],"corresponding_institution_ids":["https://openalex.org/I55538621"],"apc_list":null,"apc_paid":null,"fwci":3.9463,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.94383296,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9955999851226807,"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":0.9955999851226807,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9288953542709351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.64340740442276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5441102385520935},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5233772993087769},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5027201175689697},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.48949134349823},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45820334553718567},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4401790201663971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4099322557449341},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3733152151107788},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2745346426963806},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18525585532188416}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9288953542709351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64340740442276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5441102385520935},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5233772993087769},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5027201175689697},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.48949134349823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45820334553718567},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4401790201663971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4099322557449341},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3733152151107788},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2745346426963806},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18525585532188416},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3498034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3498034","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":[],"awards":[{"id":"https://openalex.org/G1887062919","display_name":null,"funder_award_id":"62201272","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4739032105","display_name":null,"funder_award_id":"LQ23F020012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5290491421","display_name":null,"funder_award_id":"42171351","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6749982366","display_name":null,"funder_award_id":"42471417","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7524409454","display_name":null,"funder_award_id":"42122009","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"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2006383776","https://openalex.org/W2085283969","https://openalex.org/W2800240447","https://openalex.org/W2884276099","https://openalex.org/W2907492528","https://openalex.org/W2942454403","https://openalex.org/W2953308875","https://openalex.org/W3039321110","https://openalex.org/W3099831940","https://openalex.org/W3107721644","https://openalex.org/W3168931281","https://openalex.org/W3176244435","https://openalex.org/W3183846167","https://openalex.org/W3202748052","https://openalex.org/W4206267281","https://openalex.org/W4210888162","https://openalex.org/W4212803998","https://openalex.org/W4214836281","https://openalex.org/W4282975557","https://openalex.org/W4312358912","https://openalex.org/W4313644075","https://openalex.org/W4319865968","https://openalex.org/W4366957284","https://openalex.org/W4380785532","https://openalex.org/W4381597277","https://openalex.org/W4387789732","https://openalex.org/W4389297219","https://openalex.org/W4389352551","https://openalex.org/W4389776324","https://openalex.org/W4390421929","https://openalex.org/W4391547653","https://openalex.org/W4391661515","https://openalex.org/W4394896875","https://openalex.org/W4396499215","https://openalex.org/W4398226167","https://openalex.org/W4399039162","https://openalex.org/W4399449678","https://openalex.org/W4399572609","https://openalex.org/W6778102432"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W1973197867","https://openalex.org/W4281675222","https://openalex.org/W2568271140","https://openalex.org/W4210544941","https://openalex.org/W2563613133"],"abstract_inverted_index":{"Graph":[0],"convolutional":[1],"networks":[2],"(GCNs)":[3],"have":[4],"attracted":[5],"significant":[6],"attention":[7],"in":[8],"hyperspectral":[9],"image":[10],"(HSI)":[11],"change":[12],"detection":[13],"(CD)":[14],"due":[15],"to":[16,19,53,84,106,136,141,147,161],"their":[17],"capability":[18],"perform":[20],"shape-adaptive":[21],"convolutions":[22],"and":[23,113,138,187],"capture":[24],"complex":[25],"patterns":[26],"within":[27],"HSIs.":[28,67],"Existing":[29],"GCN-based":[30],"methods":[31,59],"typically":[32],"preprocess":[33],"bitemporal":[34,66,96,168],"HSIs":[35],"into":[36,118],"graphs":[37,90],"using":[38],"a":[39,54,75],"specific":[40],"superpixel":[41],"segmentation.":[42],"However,":[43],"this":[44,72],"preprocessing":[45],"step":[46],"limits":[47],"the":[48,148,163,167,172,185,190],"modeling":[49],"of":[50,123,166,175,189],"spatial":[51],"topologies":[52],"fixed":[55],"scale.":[56],"Besides,":[57],"these":[58,70,116],"do":[60],"not":[61],"consider":[62],"distribution":[63,81,155,176],"shifts":[64],"between":[65],"To":[68],"overcome":[69],"limitations,":[71],"article":[73],"proposes":[74],"fine\u2013coarse\u2013fine":[76],"progressive":[77,86],"graph":[78],"framework":[79],"with":[80],"alignment":[82,156],"(FCFDA)":[83],"learn":[85],"features":[87,126,145],"across":[88],"multilevel":[89,119],"for":[91,94],"HSI-CD.":[92],"Specifically,":[93],"each":[95],"HSI,":[97],"we":[98],"generate":[99],"multiple":[100],"hierarchical":[101],"segmentations":[102,117],"ranging":[103],"from":[104,127,134],"fine":[105,135],"coarse":[107,137],"by":[108],"gradually":[109],"merging":[110],"neighboring":[111],"superpixels":[112],"subsequently":[114],"transforming":[115],"graphs.":[120],"Second,":[121],"instead":[122],"simply":[124],"concatenating":[125],"different":[128],"hierarchies,":[129],"FCFDA":[130],"integrates":[131],"them":[132],"progressively":[133],"then":[139],"back":[140],"fine,":[142],"generating":[143],"subtle":[144],"tailored":[146],"pixel-wise":[149],"CD":[150],"task.":[151],"Finally,":[152],"an":[153],"effective":[154],"(DA)":[157],"method":[158],"is":[159],"designed":[160],"align":[162],"feature":[164],"space":[165],"HSIs,":[169],"thus":[170],"mitigating":[171],"adverse":[173],"effects":[174],"shifts.":[177],"Experiments":[178],"conducted":[179],"on":[180],"real":[181],"HSI-CD":[182],"datasets":[183],"demonstrate":[184],"effectiveness":[186],"superiority":[188],"FCFDA.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
