{"id":"https://openalex.org/W4414856536","doi":"https://doi.org/10.1109/tgrs.2025.3618250","title":"SPCNet: Serial Pyramid Convolutional Network for Remote Sensing Object Detection","display_name":"SPCNet: Serial Pyramid Convolutional Network for Remote Sensing Object Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414856536","doi":"https://doi.org/10.1109/tgrs.2025.3618250"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3618250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3618250","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/A5066486650","display_name":"Yunping Zheng","orcid":"https://orcid.org/0000-0001-8639-2479"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunping Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8639-2479","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052264949","display_name":"Zejun Wang","orcid":"https://orcid.org/0009-0009-0034-5459"},"institutions":[{"id":"https://openalex.org/I201459984","display_name":"Guangdong University Of Finances and Economics","ror":"https://ror.org/0459pv085","country_code":"CN","type":"education","lineage":["https://openalex.org/I201459984"]},{"id":"https://openalex.org/I4210149618","display_name":"Guangdong University of Finance","ror":"https://ror.org/04grzdh47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149618"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zejun Wang","raw_affiliation_strings":["School of Economics and Finance, South China University of Technology, Guangzhou, China","School of Finance and Economics, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Finance, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Finance and Economics, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280","https://openalex.org/I4210149618","https://openalex.org/I201459984"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kunzhi Wang","orcid":"https://orcid.org/0009-0006-2911-3342"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunzhi Wang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-2911-3342","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhou Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Jiang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045213205","display_name":"Mudar Sarem","orcid":"https://orcid.org/0000-0003-3715-6984"},"institutions":[{"id":"https://openalex.org/I108907416","display_name":"Latakia University","ror":"https://ror.org/04nqts970","country_code":"SY","type":"education","lineage":["https://openalex.org/I108907416"]}],"countries":["SY"],"is_corresponding":false,"raw_author_name":"Mudar Sarem","raw_affiliation_strings":["Faculty of Engineering, Manara University, Latakia, Syria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Manara University, Latakia, Syria","institution_ids":["https://openalex.org/I108907416"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36234571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9397000074386597,"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":0.9397000074386597,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9108999967575073,"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/pyramid","display_name":"Pyramid (geometry)","score":0.7258999943733215},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6370999813079834},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5936999917030334},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5861999988555908},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4832000136375427},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4271000027656555},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.42399999499320984},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.423799991607666},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.41679999232292175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8517000079154968},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7258999943733215},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6370999813079834},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5936999917030334},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5861999988555908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5322999954223633},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4832000136375427},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4271000027656555},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.42399999499320984},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.423799991607666},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.41679999232292175},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4147000014781952},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38600000739097595},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3774000108242035},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.3714999854564667},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3686999976634979},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.3652999997138977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36039999127388},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.30379998683929443},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28619998693466187},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3618250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3618250","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/G7573791682","display_name":null,"funder_award_id":"61300134","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2531409750","https://openalex.org/W2560023338","https://openalex.org/W2884561390","https://openalex.org/W2955058313","https://openalex.org/W2963125010","https://openalex.org/W2963150697","https://openalex.org/W2963849369","https://openalex.org/W2982770724","https://openalex.org/W2986357608","https://openalex.org/W2991359031","https://openalex.org/W2991363140","https://openalex.org/W3022917557","https://openalex.org/W3035414587","https://openalex.org/W3046174881","https://openalex.org/W3046768359","https://openalex.org/W3121842289","https://openalex.org/W3136761610","https://openalex.org/W3170033848","https://openalex.org/W3174873843","https://openalex.org/W3175373394","https://openalex.org/W4210925408","https://openalex.org/W4214648418","https://openalex.org/W4283450732","https://openalex.org/W4283800076","https://openalex.org/W4312335509","https://openalex.org/W4313170858","https://openalex.org/W4375802065","https://openalex.org/W4386038301","https://openalex.org/W4386057757","https://openalex.org/W4387623960","https://openalex.org/W4387918004","https://openalex.org/W4389961014","https://openalex.org/W4390120227","https://openalex.org/W4390659361","https://openalex.org/W4390872670","https://openalex.org/W4390873076","https://openalex.org/W4390874500","https://openalex.org/W4391935863","https://openalex.org/W4392607902","https://openalex.org/W4398151365","https://openalex.org/W4401328485","https://openalex.org/W4402667905","https://openalex.org/W4402703046","https://openalex.org/W4402753581","https://openalex.org/W4402916270","https://openalex.org/W4403761256","https://openalex.org/W4404480086"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"remote":[1],"sensing":[2],"object":[3,21],"detection":[4],"(RSOD)":[5],"has":[6],"attracted":[7],"increasing":[8],"attention.":[9],"Despite":[10],"advancements":[11],"in":[12,26],"existing":[13],"methods,":[14],"challenges":[15],"like":[16],"high":[17],"computational":[18],"costs,":[19],"large":[20],"scale":[22],"variations,":[23],"and":[24,99,122,155,176,199],"difficulties":[25],"detecting":[27],"small":[28],"objects":[29],"still":[30,46],"remain.":[31],"Many":[32],"studies":[33],"have":[34,77,130,164],"attempted":[35],"to":[36,95,103,152],"address":[37,52],"these":[38,53,182],"issues":[39],"by":[40,67,109],"expanding":[41],"the":[42,189],"reception":[43],"field":[44],"but":[45],"struggle":[47],"with":[48,71,91,145,192],"multi-scale":[49,60,97,154],"targets.":[50],"To":[51,159],"challenges,":[54],"we":[55,76,129,163],"propose":[56],"SPCNet,":[57],"an":[58],"efficient":[59],"convolutional":[61],"network":[62],"that":[63,86,185],"enhances":[64],"feature":[65,105],"maps":[66],"combining":[68],"serial":[69],"convolutions":[70,90],"a":[72,79,100,132,146],"pyramid":[73,101],"structure.":[74],"First,":[75],"designed":[78],"lightweight":[80],"Serial":[81],"Pyramid":[82],"Convolutional":[83],"(SPC)":[84],"block":[85],"uses":[87],"depthwise":[88],"separable":[89],"varying":[92],"dilation":[93],"rates":[94],"capture":[96],"features":[98],"structure":[102],"mitigate":[104],"information":[106],"loss":[107],"caused":[108],"stacked":[110],"convolutions.":[111],"This":[112],"mechanism":[113],"is":[114],"particularly":[115],"effective":[116],"at":[117,123],"capturing":[118],"intricate":[119],"spatial":[120],"relationships":[121],"focusing":[124],"on":[125,168,181,210],"salient":[126],"regions.":[127],"Additionally,":[128],"developed":[131],"novel":[133],"backbone":[134],"module,":[135],"named":[136,173],"SPC":[137,142],"Stage,":[138],"which":[139],"integrates":[140],"multiple":[141],"blocks":[143],"along":[144],"parallel":[147],"large-kernel":[148],"Feed-Forward":[149],"Network":[150],"(FFN)":[151],"aggregate":[153],"wide-range":[156],"contextual":[157],"information.":[158],"confirm":[160],"its":[161],"effectiveness,":[162],"evaluated":[165],"our":[166,186],"method":[167],"three":[169],"widely":[170],"used":[171],"datasets":[172,183],"DOTA-v1.0,":[174],"DOTA-v1.5,":[175],"HRSC2016.":[177],"The":[178],"extensive":[179],"experiments":[180],"show":[184],"SPCNet":[187],"achieves":[188],"state-of-the-art":[190],"performance":[191],"minimal":[193],"parameters":[194],"(72.48%":[195],"mAP,":[196,198,201],"78.42%":[197],"70.60%":[200],"respectively).":[202],"Our":[203],"code":[204],"will":[205],"be":[206],"made":[207],"publicly":[208],"available":[209],"https://github.com/FitzroyWangzj/SPCNet.":[211]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}