{"id":"https://openalex.org/W4402979964","doi":"https://doi.org/10.1109/icme57554.2024.10688239","title":"MSFGNet: Multi-Scale Features Gathering Network for Change Detection of Remote Sensing Images","display_name":"MSFGNet: Multi-Scale Features Gathering Network for Change Detection of Remote Sensing Images","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979964","doi":"https://doi.org/10.1109/icme57554.2024.10688239"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101474650","display_name":"Junqing Huang","orcid":"https://orcid.org/0009-0000-4425-1168"},"institutions":[{"id":"https://openalex.org/I49835588","display_name":"Macao Polytechnic University","ror":"https://ror.org/02sf5td35","country_code":"MO","type":"education","lineage":["https://openalex.org/I49835588"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Junqing Huang","raw_affiliation_strings":["Macao Polytechnic University,Faculty of Applied Sciences,Macau S.A.R,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macao Polytechnic University,Faculty of Applied Sciences,Macau S.A.R,China","institution_ids":["https://openalex.org/I49835588"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051381076","display_name":"Xiaochen Yuan","orcid":"https://orcid.org/0000-0002-7490-6695"},"institutions":[{"id":"https://openalex.org/I49835588","display_name":"Macao Polytechnic University","ror":"https://ror.org/02sf5td35","country_code":"MO","type":"education","lineage":["https://openalex.org/I49835588"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Xiaochen Yuan","raw_affiliation_strings":["Macao Polytechnic University,Faculty of Applied Sciences,Macau S.A.R,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macao Polytechnic University,Faculty of Applied Sciences,Macau S.A.R,China","institution_ids":["https://openalex.org/I49835588"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089368710","display_name":"Chan\u2013Tong Lam","orcid":"https://orcid.org/0000-0002-8022-7744"},"institutions":[{"id":"https://openalex.org/I49835588","display_name":"Macao Polytechnic University","ror":"https://ror.org/02sf5td35","country_code":"MO","type":"education","lineage":["https://openalex.org/I49835588"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Chan-Tong Lam","raw_affiliation_strings":["Macao Polytechnic University,Faculty of Applied Sciences,Macau S.A.R,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macao Polytechnic University,Faculty of Applied Sciences,Macau S.A.R,China","institution_ids":["https://openalex.org/I49835588"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019419036","display_name":"Wei Ke","orcid":"https://orcid.org/0000-0003-0952-0961"},"institutions":[{"id":"https://openalex.org/I49835588","display_name":"Macao Polytechnic University","ror":"https://ror.org/02sf5td35","country_code":"MO","type":"education","lineage":["https://openalex.org/I49835588"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Wei Ke","raw_affiliation_strings":["Macao Polytechnic University,Faculty of Applied Sciences,Macau S.A.R,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macao Polytechnic University,Faculty of Applied Sciences,Macau S.A.R,China","institution_ids":["https://openalex.org/I49835588"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I49835588"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.991100013256073,"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":0.991100013256073,"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":0.9459999799728394,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901270747184753},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6571171283721924},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5628777742385864},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5091902613639832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3789072036743164},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3397108316421509},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14969101548194885},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12827613949775696}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901270747184753},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6571171283721924},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5628777742385864},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5091902613639832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3789072036743164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3397108316421509},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14969101548194885},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12827613949775696}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10688239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2090707700","https://openalex.org/W2106052468","https://openalex.org/W2118116484","https://openalex.org/W2194775991","https://openalex.org/W2767778161","https://openalex.org/W2811044316","https://openalex.org/W2891248708","https://openalex.org/W2955058313","https://openalex.org/W3036453075","https://openalex.org/W3083587759","https://openalex.org/W3120467244","https://openalex.org/W3130754787","https://openalex.org/W3138516171","https://openalex.org/W4226334005","https://openalex.org/W4285298122","https://openalex.org/W4312549298","https://openalex.org/W4313350235","https://openalex.org/W4318681845","https://openalex.org/W4318766188","https://openalex.org/W4318767292","https://openalex.org/W4360930410","https://openalex.org/W6629652880","https://openalex.org/W6637373629","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Change":[0],"detection":[1],"is":[2,15,40,50,65,112],"an":[3],"important":[4],"research":[5],"area":[6],"in":[7],"remote":[8,55],"sensing.":[9],"To":[10],"achieve":[11],"accurate":[12],"results,":[13],"it":[14],"essential":[16],"to":[17,52,67,97,114],"extract":[18,68],"multi-scale":[19],"spatial":[20,99],"information":[21,100],"from":[22,117],"images":[23],"while":[24],"filtering":[25],"out":[26],"noise.":[27],"However,":[28],"existing":[29],"models":[30],"lack":[31],"this":[32],"capability.":[33],"Therefore,":[34],"Multi-Scale":[35,81],"Feature":[36,107],"Gathering":[37],"Network":[38],"(MSFGNet)":[39],"proposed.":[41],"Within":[42,71],"MSFGNet,":[43],"Bi-Temporal":[44],"Image":[45],"Multi-Level":[46],"Fusion":[47,83,109],"Module":[48,63,78,84,110],"(BMF)":[49],"utilized":[51,66],"fuse":[53],"bi-temporal":[54],"sensing":[56],"images.":[57],"Additionally,":[58],"Multi-Receptive":[59],"Field":[60,75],"Features":[61,76],"Extraction":[62,77],"(MRFE)":[64],"deep":[69],"features.":[70],"MRFE,":[72],"Large":[73],"Receptive":[74],"(LRFE)":[79],"and":[80,93],"Information":[82],"(MSIF)":[85],"are":[86],"designed,":[87],"which":[88],"use":[89],"large":[90,102],"kernel":[91],"convolution":[92,95],"dilated":[94],"respectively":[96],"capture":[98],"with":[101],"receptive":[103],"fields.":[104],"Furthermore,":[105],"Cross-Dimension":[106],"Sifting":[108],"(CDFSF)":[111],"designed":[113],"sift":[115],"noise":[116],"various":[118],"dimensions,":[119],"fusing":[120],"valuable":[121],"information.":[122],"Across":[123],"multiple":[124],"public":[125],"datasets,":[126],"MSFGNet":[127],"consistently":[128],"achieves":[129],"the":[130],"best":[131],"experimental":[132],"results.":[133],"The":[134],"code":[135],"can":[136],"be":[137],"accessed":[138],"at":[139],"https://github.com/juncyan/msfgnet.git.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}