{"id":"https://openalex.org/W4403674461","doi":"https://doi.org/10.1109/lgrs.2024.3484652","title":"Deep Convolutional Feature Enhancement for Remote Sensing Object Detection","display_name":"Deep Convolutional Feature Enhancement for Remote Sensing Object Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403674461","doi":"https://doi.org/10.1109/lgrs.2024.3484652"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3484652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3484652","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/A5072625124","display_name":"Zhigang Yang","orcid":"https://orcid.org/0000-0002-2710-9343"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Yang","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-2710-9343","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449936","display_name":"Yiming Liu","orcid":"https://orcid.org/0009-0007-4254-7054"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Liu","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0007-4254-7054","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113346167","display_name":"Zehao Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehao Gao","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111119176","display_name":"Guiwei Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiwei Wen","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070697660","display_name":"Wei Emma Zhang","orcid":"https://orcid.org/0000-0002-0406-5974"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Emma Zhang","raw_affiliation_strings":["School of Computer Science, The University of Adelaide, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0406-5974","affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Adelaide, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100765374","display_name":"Yihan Xiao","orcid":"https://orcid.org/0000-0001-8785-1905"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihan Xiao","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8785-1905","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7423,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71802164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"21","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":0.972000002861023,"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":0.972000002861023,"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":0.9545999765396118,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9412000179290771,"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":0.7355891466140747},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6496159434318542},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6054983735084534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.551124095916748},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5465594530105591},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45327532291412354},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4384641945362091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4351350963115692},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4276226758956909},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42148882150650024},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12569200992584229}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7355891466140747},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6496159434318542},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6054983735084534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.551124095916748},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5465594530105591},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45327532291412354},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4384641945362091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4351350963115692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4276226758956909},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42148882150650024},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12569200992584229},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3484652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3484652","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":[],"awards":[{"id":"https://openalex.org/G6615548818","display_name":null,"funder_award_id":"61201238","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6955409577","display_name":null,"funder_award_id":"201801P6002","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2601564443","https://openalex.org/W2752782242","https://openalex.org/W2962749812","https://openalex.org/W2963857746","https://openalex.org/W2964444661","https://openalex.org/W2987322772","https://openalex.org/W2991363140","https://openalex.org/W3034971973","https://openalex.org/W3046174881","https://openalex.org/W3136761610","https://openalex.org/W3174873843","https://openalex.org/W3203170932","https://openalex.org/W4214648418","https://openalex.org/W4225125774","https://openalex.org/W4312804579","https://openalex.org/W4386076222","https://openalex.org/W4389170329","https://openalex.org/W4390873076","https://openalex.org/W4390874500","https://openalex.org/W4394595479","https://openalex.org/W6796744688"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2969228573","https://openalex.org/W2963690996","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNNs)":[3],"have":[4],"witnessed":[5],"the":[6,23,27,33,78,87,95,107,112,123,130,135,149],"flourishing":[7],"development":[8],"of":[9,36,99,115],"remote":[10,37],"sensing":[11,38],"object":[12,45],"detection.":[13],"For":[14],"CNN-based":[15],"detectors,":[16],"obtaining":[17],"high-quality":[18],"deep":[19,136],"convolutional":[20],"features":[21],"is":[22,141],"foundation":[24],"for":[25,70],"improving":[26],"overall":[28],"detection":[29,79,162],"performance":[30,188],"due":[31],"to":[32,109,111,147,158],"challenging":[34],"characteristics":[35],"images,":[39],"such":[40],"as":[41],"large":[42],"variations":[43],"in":[44,161],"shape,":[46],"size,":[47],"and":[48,61,117,171],"orientation.":[49],"In":[50,86],"this":[51],"letter,":[52],"we":[53],"present":[54],"a":[55,62,142,152,159,175,186],"channel-assisted":[56],"deformable":[57,102],"convolution":[58,103],"(CDC)":[59],"backbone":[60],"bidirectional":[63],"FPN":[64],"with":[65,81,166],"concise":[66],"cross-layer":[67],"connections":[68],"(CFPN)":[69],"effective":[71,145],"feature":[72,154],"enhancement,":[73],"which":[74],"can":[75,105,121],"significantly":[76],"improve":[77],"accuracy":[80,163],"an":[82],"acceptable":[83],"complexity":[84],"increment.":[85],"proposed":[88],"backbone,":[89],"CDC":[90],"modules":[91],"are":[92],"embedded":[93],"into":[94],"top":[96],"two":[97],"layers":[98],"ResNet,":[100],"where":[101],"(DC)":[104],"guide":[106],"network":[108],"adapt":[110],"various":[113],"shapes":[114],"objects":[116],"channel":[118,137],"attention":[119],"(CA)":[120],"address":[122],"limitation":[124],"that":[125,151,182],"DC":[126],"only":[127],"focuses":[128],"on":[129,174],"spatial":[131],"dimensions":[132],"while":[133],"ignores":[134],"information.":[138],"Our":[139],"CFPN":[140],"simple":[143],"yet":[144],"strategy":[146],"solve":[148],"problem":[150],"complex":[153],"fusion":[155],"structure":[156],"leads":[157],"decrement":[160],"when":[164],"cooperating":[165],"our":[167,183],"enhanced":[168],"backbone.":[169],"Qualitative":[170],"quantitative":[172],"experiments":[173],"widely":[176],"recognized":[177],"benchmark,":[178],"namely,":[179],"DOTA,":[180],"demonstrate":[181],"method":[184],"achieves":[185],"competitive":[187],"against":[189],"other":[190],"advanced":[191],"models.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
