{"id":"https://openalex.org/W4389104739","doi":"https://doi.org/10.1109/jstars.2023.3335288","title":"HOFA-Net: A High-Order Feature Association Network for Dense Object Detection in Remote Sensing","display_name":"HOFA-Net: A High-Order Feature Association Network for Dense Object Detection in Remote Sensing","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389104739","doi":"https://doi.org/10.1109/jstars.2023.3335288"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3335288","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3335288","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10330558.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10330558.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100308966","display_name":"YunPeng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"YunPeng Xu","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761149","display_name":"Xin Wu","orcid":"https://orcid.org/0000-0002-1733-3560"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wu","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335940","display_name":"Li Wang","orcid":"https://orcid.org/0000-0002-0973-1614"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052560055","display_name":"Lianming Xu","orcid":"https://orcid.org/0009-0006-9142-8863"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianming Xu","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103195762","display_name":"Zhengyu Shao","orcid":"https://orcid.org/0009-0002-3598-7610"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyu Shao","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090675101","display_name":"Aiguo Fei","orcid":"https://orcid.org/0000-0002-7053-9832"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiguo Fei","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100308966"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.9749,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79525886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"17","issue":null,"first_page":"1513","last_page":"1522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8100966215133667},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6459698677062988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6356123685836792},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5969995260238647},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5516970753669739},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5003397464752197},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41168197989463806},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3428594172000885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3347451090812683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8100966215133667},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6459698677062988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6356123685836792},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5969995260238647},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5516970753669739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5003397464752197},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41168197989463806},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3428594172000885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3347451090812683},{"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":2,"locations":[{"id":"doi:10.1109/jstars.2023.3335288","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3335288","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10330558.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a892155424c447abb1bba47bc3c8216c","is_oa":true,"landing_page_url":"https://doaj.org/article/a892155424c447abb1bba47bc3c8216c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1513-1522 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3335288","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3335288","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10330558.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3191116936","display_name":null,"funder_award_id":"62171054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3927219227","display_name":null,"funder_award_id":"L222041","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G5355024307","display_name":null,"funder_award_id":"2023RC96","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6810561245","display_name":null,"funder_award_id":"62101045","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7199852738","display_name":null,"funder_award_id":"62201071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8778779482","display_name":null,"funder_award_id":"24820232023YQTD01","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389104739.pdf","grobid_xml":"https://content.openalex.org/works/W4389104739.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1483804921","https://openalex.org/W1536680647","https://openalex.org/W1966385142","https://openalex.org/W2102605133","https://openalex.org/W2133564696","https://openalex.org/W2193145675","https://openalex.org/W2565639579","https://openalex.org/W2601789736","https://openalex.org/W2752782242","https://openalex.org/W2755992512","https://openalex.org/W2866634454","https://openalex.org/W2884585870","https://openalex.org/W2885641989","https://openalex.org/W2922509574","https://openalex.org/W2952565170","https://openalex.org/W2954930822","https://openalex.org/W2962761264","https://openalex.org/W2962766044","https://openalex.org/W2963037989","https://openalex.org/W2963091558","https://openalex.org/W2963351448","https://openalex.org/W2964979676","https://openalex.org/W2982220924","https://openalex.org/W2982770724","https://openalex.org/W2991359031","https://openalex.org/W2991363140","https://openalex.org/W2998228095","https://openalex.org/W3009396058","https://openalex.org/W3034993937","https://openalex.org/W3048631361","https://openalex.org/W3092088889","https://openalex.org/W3102337567","https://openalex.org/W3102692100","https://openalex.org/W3106250896","https://openalex.org/W3109055651","https://openalex.org/W3119027652","https://openalex.org/W3121842289","https://openalex.org/W3122893743","https://openalex.org/W3141404903","https://openalex.org/W3174873843","https://openalex.org/W3177105943","https://openalex.org/W3194790201","https://openalex.org/W4211114389","https://openalex.org/W4211247672","https://openalex.org/W4285107171","https://openalex.org/W4285278903","https://openalex.org/W4296079303","https://openalex.org/W4312600819","https://openalex.org/W4313506322","https://openalex.org/W4378194596","https://openalex.org/W4379984088","https://openalex.org/W4387623802","https://openalex.org/W4388157208","https://openalex.org/W4388685310","https://openalex.org/W6620707391","https://openalex.org/W6679434410","https://openalex.org/W6767109091","https://openalex.org/W6788870397","https://openalex.org/W6857839881"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2969228573","https://openalex.org/W2963690996"],"abstract_inverted_index":{"In":[0,148],"the":[1,31,38,48,79,127,142,167,189,193,198,203],"remote":[2,12,71,185],"sensing":[3,13,72,186],"field,":[4],"deep":[5],"learning-based":[6],"methods":[7,22],"have":[8],"become":[9],"mainstream":[10],"for":[11,66],"image":[14],"object":[15,68],"detection":[16,49,69],"in":[17,70],"recent":[18],"years.":[19],"However,":[20],"traditional":[21],"such":[23],"as":[24],"convolutional":[25],"neural":[26],"networks":[27],"(CNNs)":[28],"mainly":[29],"ignore":[30],"dependencies":[32],"between":[33,81],"features,":[34],"failing":[35],"to":[36,76,96,140,159,177],"capture":[37,78,105,141],"spatial":[39,86],"relationships":[40],"and":[41,85,129,135,164,192,200],"relative":[42],"positions":[43],"of":[44,51,83,102,146,202],"objects,":[45,53],"which":[46],"affects":[47],"performance":[50],"dense":[52,67],"especially":[54],"small-size":[55],"objects.":[56,103,147],"To":[57,104],"this":[58],"end,":[59],"a":[60,114,152,170],"high-order":[61,153],"feature":[62,106,115,154,162],"association":[63,116,155],"network":[64],"(HOFA-Net)":[65],"has":[73],"been":[74],"proposed":[75,204],"better":[77],"interdependencies":[80,107,165],"features":[82,101,131],"channel":[84],"dimensions,":[87],"yielding":[88],"more":[89],"distinguishable":[90],"features.":[91,168],"First,":[92],"we":[93,112,150],"employ":[94],"CNNs":[95],"learn":[97,160],"high-level":[98,130],"but":[99],"low-resolution":[100,128],"while":[108],"retaining":[109],"crucial":[110],"information,":[111],"design":[113],"module":[117,125,157],"based":[118],"on":[119,182],"size":[120],"adaptation":[121],"non-local":[122,137],"(SANL).":[123],"This":[124],"partitions":[126],"into":[132],"local":[133,143],"regions":[134],"utilizes":[136],"residual":[138],"connections":[139],"contextual":[144],"information":[145],"addition,":[149],"introduce":[151],"(HFA)":[156],"designed":[158],"nonlinear":[161],"correlations":[163],"within":[166],"Additionally,":[169],"covariance":[171],"normalization":[172],"acceleration":[173],"strategy":[174],"is":[175],"introduced":[176],"accelerate":[178],"computation.":[179],"Experimental":[180],"results":[181],"two":[183],"public":[184],"datasets,":[187],"including":[188],"DOTA":[190],"dataset":[191],"Tiny":[194],"Person":[195],"dataset,":[196],"demonstrate":[197],"superiority":[199],"effectiveness":[201],"method":[205],"through":[206],"comparative":[207],"experiments.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
