{"id":"https://openalex.org/W4407316803","doi":"https://doi.org/10.1109/tgrs.2025.3540085","title":"A Unified Remote Sensing Object Detector Based on Fourier Contour Parametric Learning","display_name":"A Unified Remote Sensing Object Detector Based on Fourier Contour Parametric Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407316803","doi":"https://doi.org/10.1109/tgrs.2025.3540085"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3540085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3540085","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/A5100688517","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0002-1769-9829"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023179941","display_name":"Yin Zhuang","orcid":"https://orcid.org/0000-0002-0443-1081"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Zhuang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059679943","display_name":"Guanqun Wang","orcid":"https://orcid.org/0000-0002-7850-8766"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanqun Wang","raw_affiliation_strings":["School of Computer Science and the State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China","School of Electronics, Schools of Computer Science and State Key Laboratory of Advanced Optical Communication Systems and Networks, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and the State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics, Schools of Computer Science and State Key Laboratory of Advanced Optical Communication Systems and Networks, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327685","display_name":"He Chen","orcid":"https://orcid.org/0000-0003-4182-6493"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Chen","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075134790","display_name":"Lianlin Li","orcid":"https://orcid.org/0000-0002-2295-4425"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianlin Li","raw_affiliation_strings":["School of Computer Science and the State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China","School of Electronics, Schools of Computer Science and State Key Laboratory of Advanced Optical Communication Systems and Networks, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and the State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics, Schools of Computer Science and State Key Laboratory of Advanced Optical Communication Systems and Networks, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["School of Computer Science and Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100688517"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":8.6896,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9743458,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9771000146865845,"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":0.9771000146865845,"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":0.9750000238418579,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6848348379135132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.675798237323761},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.633464515209198},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5817480087280273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5685428380966187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5678118467330933},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5574865341186523},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5487242937088013},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49049633741378784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.29444968700408936},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19431060552597046},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16290616989135742},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10506495833396912}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6848348379135132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.675798237323761},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.633464515209198},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5817480087280273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5685428380966187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5678118467330933},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5574865341186523},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5487242937088013},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49049633741378784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29444968700408936},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19431060552597046},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16290616989135742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10506495833396912},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3540085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3540085","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/G5266778993","display_name":null,"funder_award_id":"U2341202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6716103886","display_name":null,"funder_award_id":"T2225019","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":111,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2005368619","https://openalex.org/W2037227137","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2784050770","https://openalex.org/W2920326761","https://openalex.org/W2928165649","https://openalex.org/W2934198733","https://openalex.org/W2949058942","https://openalex.org/W2962721361","https://openalex.org/W2962749812","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2964979676","https://openalex.org/W2967487473","https://openalex.org/W2979394918","https://openalex.org/W2982103617","https://openalex.org/W2983342848","https://openalex.org/W2990361805","https://openalex.org/W2991363140","https://openalex.org/W2992240579","https://openalex.org/W2993182889","https://openalex.org/W2993501994","https://openalex.org/W2999452014","https://openalex.org/W3010864078","https://openalex.org/W3022917557","https://openalex.org/W3034792612","https://openalex.org/W3034993937","https://openalex.org/W3035709993","https://openalex.org/W3048939508","https://openalex.org/W3093046205","https://openalex.org/W3096609285","https://openalex.org/W3109055651","https://openalex.org/W3114606989","https://openalex.org/W3114924374","https://openalex.org/W3119027652","https://openalex.org/W3120596229","https://openalex.org/W3136761610","https://openalex.org/W3137165785","https://openalex.org/W3160485208","https://openalex.org/W3170033848","https://openalex.org/W3172799005","https://openalex.org/W3174873843","https://openalex.org/W3176131500","https://openalex.org/W3181016597","https://openalex.org/W3195354427","https://openalex.org/W3201260569","https://openalex.org/W3203003533","https://openalex.org/W3205348468","https://openalex.org/W3213759681","https://openalex.org/W4206487537","https://openalex.org/W4211114389","https://openalex.org/W4214491048","https://openalex.org/W4214613769","https://openalex.org/W4214648418","https://openalex.org/W4283692648","https://openalex.org/W4289861105","https://openalex.org/W4294691154","https://openalex.org/W4296211555","https://openalex.org/W4312616451","https://openalex.org/W4312702383","https://openalex.org/W4312815172","https://openalex.org/W4313525589","https://openalex.org/W4317796374","https://openalex.org/W4319450743","https://openalex.org/W4323644275","https://openalex.org/W4324116440","https://openalex.org/W4366957306","https://openalex.org/W4383113376","https://openalex.org/W4384519088","https://openalex.org/W4385834442","https://openalex.org/W4386065874","https://openalex.org/W4386071535","https://openalex.org/W4386071839","https://openalex.org/W4387056903","https://openalex.org/W4387886005","https://openalex.org/W4390873343","https://openalex.org/W4390873840","https://openalex.org/W4390874575","https://openalex.org/W4391021462","https://openalex.org/W4391130239","https://openalex.org/W4391936121","https://openalex.org/W4392932888","https://openalex.org/W4392941894","https://openalex.org/W4393148067","https://openalex.org/W4393379636","https://openalex.org/W4394596523","https://openalex.org/W4398151365","https://openalex.org/W4398152456","https://openalex.org/W4399399400","https://openalex.org/W4399563113","https://openalex.org/W4399665752","https://openalex.org/W4402753636","https://openalex.org/W6618372016","https://openalex.org/W6730365400","https://openalex.org/W6750437431","https://openalex.org/W6760424586","https://openalex.org/W6763251565","https://openalex.org/W6770886966","https://openalex.org/W6775845032","https://openalex.org/W6784930956","https://openalex.org/W6797784111","https://openalex.org/W6801830353","https://openalex.org/W6811230874","https://openalex.org/W6846169171","https://openalex.org/W6857584973","https://openalex.org/W6875377141","https://openalex.org/W6910611565"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2074467390","https://openalex.org/W2795393339","https://openalex.org/W2626393719","https://openalex.org/W4390618967","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"A":[0],"unified":[1,48,112],"object":[2,15,30,74,90,104,113,122,141,266],"detector":[3,115],"needs":[4],"to":[5,11,27,55,70,87,138,229],"integrate":[6,28,88],"various":[7,71],"abilities":[8],"for":[9,119,171],"adapting":[10],"different":[12,212],"remote":[13,126],"sensing":[14,127],"detection":[16,31,49,75,91,123],"tasks.":[17,76],"However,":[18],"there":[19],"is":[20,84,117,136,188,227,283],"a":[21,24,47,81,111,130,173,181,221,240],"lack":[22],"of":[23,73,93,102,158,193,217,259],"feasible":[25],"way":[26,187],"multigrained":[29,89,121,265],"requirements":[32,92],"i.e.,":[33],"horizontal":[34],"bounding":[35,39],"box":[36,40],"(HBB),":[37],"oriented":[38],"(OBB),":[41],"and":[42,61,96,161,176,233,246,263,268],"instance":[43],"segmentation":[44],"(InSeg)":[45],"into":[46,98,147],"way.":[50],"Then,":[51,151],"it":[52,152],"often":[53],"has":[54],"design":[56],"specific":[57],"parametric":[58,133,156,178],"learning":[59],"ways":[60],"their":[62],"corresponding":[63],"architectures,":[64],"which":[65,167,197,237],"cannot":[66],"be":[67,169],"finely":[68],"adaptive":[69],"kinds":[72],"Therefore,":[77],"in":[78,201],"this":[79],"article,":[80],"new":[82,264],"benchmark":[83],"set":[85],"up":[86],"HBB,":[94,159,260],"OBB,":[95,160,261],"InSeg":[97,162],"one":[99],"challenging":[100],"task":[101],"arbitrary-shaped":[103,140],"contour":[105,114,132,204,214,235,248],"detection.":[106],"At":[107],"the":[108,144,148,194,208,269],"same":[109],"time,":[110],"(UniconDet)":[116],"proposed":[118,274],"achieving":[120],"from":[124,143],"complicated":[125],"scenes.":[128],"First,":[129],"Fourier":[131,203,247],"modeling":[134],"(FCPM)":[135],"defined":[137],"project":[139],"contours":[142],"spatial":[145,155],"domain":[146],"frequency":[149,164],"domain.":[150],"can":[153,168,198,238,276],"unify":[154],"representations":[157],"as":[163],"coefficient":[165],"representations,":[166],"used":[170],"realizing":[172],"more":[174,241],"generic":[175],"robust":[177],"regression.":[179,250],"Second,":[180],"multiview":[182],"cross-attention":[183],"(MVCA)":[184],"feature":[185],"extraction":[186],"designed":[189,228],"at":[190,285],"each":[191,218],"scale":[192],"regression":[195,224],"layer,":[196],"assist":[199],"UniconDet":[200,275],"perceiving":[202],"parameters":[205],"by":[206],"exploring":[207],"coupled":[209],"relations":[210],"between":[211],"discrete":[213],"sampling":[215],"periods":[216],"object.":[219],"Third,":[220],"center-contour":[222],"enhancing":[223],"layer":[225],"(C2-ERL)":[226],"generate":[230],"regional":[231],"guidance":[232],"cascade":[234],"propagation,":[236],"ensure":[239],"accurate":[242],"center":[243],"point":[244],"prediction":[245],"parameter":[249],"Finally,":[251],"extensive":[252],"experiments":[253],"are":[254],"carried":[255],"out":[256],"on":[257],"benchmarks":[258],"InSeg,":[262],"detection,":[267],"results":[270],"indicate":[271],"that":[272],"our":[273],"obtain":[277],"superior":[278],"performance.":[279],"The":[280],"source":[281],"code":[282],"available":[284],"<uri":[286],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[287],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/ZhAnGToNG1/UniconDet</uri>.":[288]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}