{"id":"https://openalex.org/W4409076539","doi":"https://doi.org/10.1109/lgrs.2025.3556373","title":"MSHCCT: A Multiscale Compact Convolutional Network for High-Resolution Aerial Scene Classification","display_name":"MSHCCT: A Multiscale Compact Convolutional Network for High-Resolution Aerial Scene Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409076539","doi":"https://doi.org/10.1109/lgrs.2025.3556373"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3556373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3556373","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":"https://openalex.org/A5046120119","display_name":"Ali Jamali","orcid":"https://orcid.org/0000-0002-6073-5493"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Jamali","raw_affiliation_strings":["Department of Geography, Simon Fraser University, Burnaby, BC, Canada","Department of Geography, Simon Fraser University, 8888 University Dr, Burnaby, BC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-6073-5493","affiliations":[{"raw_affiliation_string":"Department of Geography, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"Department of Geography, Simon Fraser University, 8888 University Dr, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087427076","display_name":"Swalpa Kumar Roy","orcid":"https://orcid.org/0000-0002-6580-3977"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Swalpa Kumar Roy","raw_affiliation_strings":["Department of Computer Science and Engineering, Alipurduar Government Engineering and Management College, Alipurduar, West Bengal, India","Department of Computer Science and Engineering, Alipurduar Government Engineering and Management College, West Bengal, India"],"raw_orcid":"https://orcid.org/0000-0002-6580-3977","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Alipurduar Government Engineering and Management College, Alipurduar, West Bengal, India","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Alipurduar Government Engineering and Management College, West Bengal, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055319860","display_name":"Bing Lu","orcid":"https://orcid.org/0000-0002-6259-1841"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bing Lu","raw_affiliation_strings":["Department of Geography, Simon Fraser University, Burnaby, BC, Canada","Department of Geography, Simon Fraser University, 8888 University Dr, Burnaby, BC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-6259-1841","affiliations":[{"raw_affiliation_string":"Department of Geography, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"Department of Geography, Simon Fraser University, 8888 University Dr, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034794395","display_name":"Leila Hashemi-Beni","orcid":"https://orcid.org/0000-0003-1026-4555"},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leila Hashemi Beni","raw_affiliation_strings":["Department of Built Environment, Geomatics Program, North Carolina A&#x0026;T State University, Greensboro, NC, USA","Geomatics Program, Department of Built Environment, North Carolina A and T State University, Greensboro, NC, USA"],"raw_orcid":"https://orcid.org/0000-0003-1026-4555","affiliations":[{"raw_affiliation_string":"Department of Built Environment, Geomatics Program, North Carolina A&#x0026;T State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]},{"raw_affiliation_string":"Geomatics Program, Department of Built Environment, North Carolina A and T State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057185882","display_name":"Nafiseh Kakhani","orcid":"https://orcid.org/0000-0002-5526-6725"},"institutions":[{"id":"https://openalex.org/I143910747","display_name":"TH Bingen University of Applied Sciences","ror":"https://ror.org/01pxkj057","country_code":"DE","type":"education","lineage":["https://openalex.org/I143910747"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nafiseh Kakhani","raw_affiliation_strings":["Department of Geosciences, Soil Science and Geomorphology, CRC 1070 ResourceCultures, and the DFG Cluster of Excellence &#x201C;Machine Learning,&#x201D; University of T&#x00FC;bingen, T&#x00FC;bingen, Germany","Department of Geosciences, Soil Science and Geomorphology, CRC 1070 RessourceCultures, and DFG Cluster of Excellence &#x201C;Machine Learning&#x201D;, University of T&#x00FC;bingen, T&#x00FC;bingen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5526-6725","affiliations":[{"raw_affiliation_string":"Department of Geosciences, Soil Science and Geomorphology, CRC 1070 ResourceCultures, and the DFG Cluster of Excellence &#x201C;Machine Learning,&#x201D; University of T&#x00FC;bingen, T&#x00FC;bingen, Germany","institution_ids":["https://openalex.org/I143910747"]},{"raw_affiliation_string":"Department of Geosciences, Soil Science and Geomorphology, CRC 1070 RessourceCultures, and DFG Cluster of Excellence &#x201C;Machine Learning&#x201D;, University of T&#x00FC;bingen, T&#x00FC;bingen, Germany","institution_ids":["https://openalex.org/I143910747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074919292","display_name":"Pedram Ghamisi","orcid":"https://orcid.org/0000-0003-1203-741X"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2801798921","display_name":"Helmholtz-Zentrum Dresden-Rossendorf","ror":"https://ror.org/01zy2cs03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["DE","FR"],"is_corresponding":false,"raw_author_name":"Pedram Ghamisi","raw_affiliation_strings":["Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Freiberg, Germany","Inria, CNRS, Grenoble INP, LJK, Universit&#x00E9; Grenoble Alpes, Grenoble, France"],"raw_orcid":"https://orcid.org/0000-0003-1203-741X","affiliations":[{"raw_affiliation_string":"Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Freiberg, Germany","institution_ids":["https://openalex.org/I2801798921"]},{"raw_affiliation_string":"Inria, CNRS, Grenoble INP, LJK, Universit&#x00E9; Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210101348","https://openalex.org/I4210149092","https://openalex.org/I899635006"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.7648,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96561261,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9905999898910522,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9905999898910522,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9883999824523926,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.675071120262146},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.574043869972229},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5292465090751648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5094895958900452},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.48544222116470337},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4406939744949341},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.421131432056427},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4177645742893219},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3977675139904022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3622854948043823},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.16524118185043335},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13835549354553223},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11838042736053467}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.675071120262146},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.574043869972229},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5292465090751648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5094895958900452},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.48544222116470337},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4406939744949341},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.421131432056427},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4177645742893219},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3977675139904022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3622854948043823},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.16524118185043335},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13835549354553223},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11838042736053467}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2025.3556373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3556373","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"},{"id":"pmh:oai:eprints.lancs.ac.uk:235816","is_oa":false,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/235816/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G1356681380","display_name":null,"funder_award_id":"80NSSC23M0051","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1980038761","https://openalex.org/W2194775991","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W4214634256","https://openalex.org/W4236325002","https://openalex.org/W4285308101","https://openalex.org/W4312364622","https://openalex.org/W4383220186","https://openalex.org/W4385154014","https://openalex.org/W4392719398","https://openalex.org/W4399154429","https://openalex.org/W4404914866","https://openalex.org/W6791705549","https://openalex.org/W6795062860","https://openalex.org/W6797478244"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2765548132","https://openalex.org/W2025681766","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2294441925","https://openalex.org/W4212954839","https://openalex.org/W2142226356","https://openalex.org/W3210000161"],"abstract_inverted_index":{"The":[0,120],"growing":[1],"popularity":[2],"of":[3],"vision":[4],"transformers":[5],"(ViTs)":[6],"in":[7,78],"remote":[8,117],"sensing":[9,118],"image":[10],"classification":[11,86],"is":[12],"due":[13],"to":[14,17,65],"their":[15,23,31],"ability":[16],"effectively":[18],"capture":[19],"long-range":[20],"dependencies.":[21],"However,":[22],"high":[24],"computational":[25,72],"cost":[26],"and":[27,37,80,88,113],"memory":[28],"footprint":[29],"limit":[30],"applicability,":[32],"particularly":[33],"for":[34,100,116],"small-scale":[35,63],"datasets":[36],"resource-constrained":[38],"environments.":[39],"To":[40],"address":[41],"these":[42],"challenges,":[43],"we":[44],"propose":[45],"the":[46,98],"multiscale":[47,67],"multihead":[48],"compact":[49],"convolutional":[50,60],"transformer":[51],"(MSHCCT),":[52],"a":[53,75,110],"lightweight":[54],"yet":[55],"powerful":[56],"model":[57,101],"that":[58],"integrates":[59],"tokenization":[61],"with":[62],"ViTs":[64],"enhance":[66],"feature":[68],"representation":[69],"while":[70],"maintaining":[71],"efficiency.":[73],"Despite":[74],"modest":[76],"increase":[77],"parameters":[79],"training":[81],"time,":[82],"MSHCCT":[83],"achieves":[84],"superior":[85],"accuracy":[87],"robustness":[89],"on":[90],"high-resolution":[91],"aerial":[92],"scenes.":[93],"Importantly,":[94],"our":[95],"approach":[96],"eliminates":[97],"need":[99],"pretraining,":[102],"additional":[103],"datasets,":[104],"or":[105],"multisensor":[106],"data":[107],"fusion,":[108],"ensuring":[109],"computationally":[111],"efficient":[112],"practical":[114],"solution":[115],"applications.":[119],"code":[121],"will":[122],"be":[123],"made":[124],"publicly":[125],"available":[126],"at":[127],"<uri":[128],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[129],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/aj1365/MSHCCT</uri>":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
