{"id":"https://openalex.org/W4380995108","doi":"https://doi.org/10.1109/jstars.2023.3286483","title":"HFPNet: Super Feature Aggregation Pyramid Network for Maritime Remote Sensing Small-Object Detection","display_name":"HFPNet: Super Feature Aggregation Pyramid Network for Maritime Remote Sensing Small-Object Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4380995108","doi":"https://doi.org/10.1109/jstars.2023.3286483"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3286483","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3286483","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10153591.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/4609443/4609444/10153591.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101779754","display_name":"Chengcheng Chen","orcid":"https://orcid.org/0000-0002-6014-5135"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengcheng Chen","raw_affiliation_strings":["Digital Imaging and Intelligent Computing Laboratory, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6014-5135","affiliations":[{"raw_affiliation_string":"Digital Imaging and Intelligent Computing Laboratory, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018201952","display_name":"Weiming Zeng","orcid":"https://orcid.org/0000-0002-9035-8078"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Zeng","raw_affiliation_strings":["Digital Imaging and Intelligent Computing Laboratory, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9035-8078","affiliations":[{"raw_affiliation_string":"Digital Imaging and Intelligent Computing Laboratory, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100612912","display_name":"Xiliang Zhang","orcid":"https://orcid.org/0000-0001-8529-1350"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiliang Zhang","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.4444,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.840161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"16","issue":null,"first_page":"5973","last_page":"5989"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9897000193595886,"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":0.9843000173568726,"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":0.7167124152183533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7046462297439575},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6466744542121887},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5589811205863953},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5105725526809692},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4897727966308594},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.44556206464767456},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.44175979495048523},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4270438551902771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3705427646636963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3071463108062744},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14971193671226501},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14349684119224548},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10282251238822937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09435054659843445}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7167124152183533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7046462297439575},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6466744542121887},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5589811205863953},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5105725526809692},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4897727966308594},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.44556206464767456},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.44175979495048523},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4270438551902771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3705427646636963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3071463108062744},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14971193671226501},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14349684119224548},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10282251238822937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09435054659843445},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3286483","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3286483","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10153591.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:144ed2a2b3204ab8b7af1cf217857166","is_oa":true,"landing_page_url":"https://doaj.org/article/144ed2a2b3204ab8b7af1cf217857166","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 5973-5989 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3286483","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3286483","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10153591.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":[{"display_name":"Life below water","score":0.75,"id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G4383929037","display_name":null,"funder_award_id":"31870979","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380995108.pdf"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2005368619","https://openalex.org/W2031489346","https://openalex.org/W2036989445","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2137401668","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2557728737","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2594177559","https://openalex.org/W2752782242","https://openalex.org/W2765226219","https://openalex.org/W2884585870","https://openalex.org/W2955058313","https://openalex.org/W2955425717","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963091558","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963402592","https://openalex.org/W2964309882","https://openalex.org/W2981689412","https://openalex.org/W2981899103","https://openalex.org/W2992240579","https://openalex.org/W2997747012","https://openalex.org/W3018757597","https://openalex.org/W3106250896","https://openalex.org/W3121020412","https://openalex.org/W3122173535","https://openalex.org/W3138958001","https://openalex.org/W3162418282","https://openalex.org/W3177052299","https://openalex.org/W3184439416","https://openalex.org/W3210586215","https://openalex.org/W4220923749","https://openalex.org/W4220941228","https://openalex.org/W4226151011","https://openalex.org/W4238100585","https://openalex.org/W4293584584","https://openalex.org/W4308237186","https://openalex.org/W6730028961","https://openalex.org/W6743731764","https://openalex.org/W6753412334","https://openalex.org/W6754852571","https://openalex.org/W6756709046","https://openalex.org/W6762718338","https://openalex.org/W6770715449","https://openalex.org/W6770794742","https://openalex.org/W6777046832","https://openalex.org/W6784704298","https://openalex.org/W6785652829","https://openalex.org/W6788520541","https://openalex.org/W6791710061","https://openalex.org/W6798838024"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W3205445068","https://openalex.org/W3134004915","https://openalex.org/W4206776094","https://openalex.org/W3154920669","https://openalex.org/W3121197456"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"with":[3,174],"the":[4,7,24,101,118,143,152,167,179,190,195,204,210,214,221,233],"development":[5],"of":[6,26,44,91,120,138,145,169,185,223],"maritime":[8],"industry,":[9],"computer":[10],"vision":[11],"tasks":[12],"based":[13],"on":[14,189,213,229],"optical":[15],"remote":[16,28,69,122],"sensing":[17,70,123],"images":[18],"have":[19],"gained":[20],"increasing":[21],"attention":[22,224],"in":[23,31,99,151],"field":[25],"marine":[27,33,68,121,139],"sensing.":[29],"However,":[30],"complex":[32,96],"meteorological":[34],"environments,":[35],"traditional":[36],"detection":[37,237],"methods":[38,228],"often":[39],"suffer":[40],"from":[41],"high":[42],"rates":[43],"missed":[45],"detections":[46],"and":[47,79,94,106,148,165,187,194,226,231],"false":[48],"alarms":[49],"for":[50,66],"small":[51,92,170,235],"targets.":[52],"To":[53,141],"address":[54,142],"this":[55,57,126,154,218],"issue,":[56],"paper":[58,127,155,219],"proposes":[59],"a":[60,74,80,129,157],"Super":[61],"Feature":[62,75,82],"Pyramid":[63],"Network":[64],"(HFPNet)":[65],"detecting":[67],"objects,":[71],"which":[72],"includes":[73],"Enhancement":[76],"Module":[77,84],"(FEM)":[78],"Multi-Scale":[81],"Aggregation":[83],"(MFM).":[85],"The":[86],"FEM":[87],"can":[88,103],"highlight":[89],"features":[90,98,108],"targets":[93],"weaken":[95],"background":[97],"detection;":[100],"MFM":[102],"share":[104],"high-level":[105],"low-level":[107],"to":[109,117,161],"better":[110],"fuse":[111],"multi-scale":[112],"feature":[113],"information.":[114],"Additionally,":[115],"due":[116],"lack":[119],"object":[124],"datasets,":[125],"constructs":[128],"Marine":[130],"Target":[131],"Detection":[132],"Dataset":[133],"(MTDS)":[134],"containing":[135],"six":[136],"types":[137],"objects.":[140],"issue":[144],"imbalanced":[146],"positive":[147],"negative":[149],"samples":[150],"dataset,":[153],"designs":[156],"network":[158,163],"loss":[159],"function":[160],"accelerate":[162],"convergence":[164],"improve":[166],"accuracy":[168],"target":[171,236],"detection.":[172],"Compared":[173],"other":[175],"models,":[176],"HFPNet":[177,230],"achieved":[178,209],"highest":[180],"<inline-formula":[181],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[182],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[183],"notation=\"LaTeX\">$mAP_{0.5}$</tex-math></inline-formula>":[184],"97.48%":[186],"95.46%":[188],"self-built":[191],"dataset":[192,197],"MTDS":[193],"public":[196],"NWPU-VHR-10,":[198],"respectively,":[199],"after":[200],"environmental":[201],"enhancement.":[202],"At":[203],"same":[205],"time,":[206],"it":[207],"also":[208],"fastest":[211],"FPS":[212],"test":[215],"set.":[216],"Finally,":[217],"discusses":[220],"influence":[222],"mechanisms":[225],"post-processing":[227],"obtains":[232],"best":[234],"model.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
