{"id":"https://openalex.org/W4401879145","doi":"https://doi.org/10.1109/jstars.2024.3449335","title":"Point-Based Weakly Semisupervised Oriented Vehicle Detection in Optical Remote Sensing Images","display_name":"Point-Based Weakly Semisupervised Oriented Vehicle Detection in Optical Remote Sensing Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401879145","doi":"https://doi.org/10.1109/jstars.2024.3449335"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3449335","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3449335","pdf_url":null,"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://doi.org/10.1109/jstars.2024.3449335","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111301625","display_name":"Ziqian Tan","orcid":"https://orcid.org/0000-0003-3636-6816"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqian Tan","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3636-6816","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705638","display_name":"Chen Wu","orcid":"https://orcid.org/0000-0001-6461-8377"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Wu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6461-8377","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.4829,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59941056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"17","issue":null,"first_page":"15635","last_page":"15650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9984999895095825,"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":0.9984999895095825,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9965999722480774,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7181004285812378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5374963879585266},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5191159248352051},{"id":"https://openalex.org/keywords/optical-imaging","display_name":"Optical imaging","score":0.5010554790496826},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48307541012763977},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4506547451019287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3222145438194275},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13051220774650574},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12027233839035034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1020444929599762},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08528360724449158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181004285812378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5374963879585266},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5191159248352051},{"id":"https://openalex.org/C92630104","wikidata":"https://www.wikidata.org/wiki/Q4115103","display_name":"Optical imaging","level":2,"score":0.5010554790496826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48307541012763977},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4506547451019287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3222145438194275},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13051220774650574},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12027233839035034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1020444929599762},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08528360724449158},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3449335","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3449335","pdf_url":null,"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:198911ab628e4f6cb49e3d1be5839513","is_oa":true,"landing_page_url":"https://doaj.org/article/198911ab628e4f6cb49e3d1be5839513","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 17, Pp 15635-15650 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3449335","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3449335","pdf_url":null,"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/G4989490192","display_name":null,"funder_award_id":"T2122014","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":61,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2605076167","https://openalex.org/W2890443177","https://openalex.org/W2953303875","https://openalex.org/W2963351448","https://openalex.org/W2964979676","https://openalex.org/W2979917379","https://openalex.org/W2986357608","https://openalex.org/W2992240579","https://openalex.org/W3091542555","https://openalex.org/W3092663126","https://openalex.org/W3109055651","https://openalex.org/W3123291413","https://openalex.org/W3124328747","https://openalex.org/W3135029437","https://openalex.org/W3135805125","https://openalex.org/W3136761610","https://openalex.org/W3147948705","https://openalex.org/W3170033848","https://openalex.org/W3173331776","https://openalex.org/W3174389852","https://openalex.org/W3174873843","https://openalex.org/W3176608652","https://openalex.org/W3180169285","https://openalex.org/W3194641144","https://openalex.org/W3217005392","https://openalex.org/W4205213439","https://openalex.org/W4205779174","https://openalex.org/W4206750462","https://openalex.org/W4210598935","https://openalex.org/W4213205652","https://openalex.org/W4214648418","https://openalex.org/W4221167637","https://openalex.org/W4281252082","https://openalex.org/W4287322212","https://openalex.org/W4306295220","https://openalex.org/W4312578467","https://openalex.org/W4312750973","https://openalex.org/W4312792327","https://openalex.org/W4312804579","https://openalex.org/W4312893921","https://openalex.org/W4318483458","https://openalex.org/W4321488138","https://openalex.org/W4323929084","https://openalex.org/W4360839569","https://openalex.org/W4379983825","https://openalex.org/W4381415891","https://openalex.org/W4382788129","https://openalex.org/W4385482851","https://openalex.org/W4386076234","https://openalex.org/W4386076619","https://openalex.org/W4388003969","https://openalex.org/W4390383581","https://openalex.org/W4390872703","https://openalex.org/W4390874575","https://openalex.org/W6788870397","https://openalex.org/W6796744688","https://openalex.org/W6846169171","https://openalex.org/W6852044425","https://openalex.org/W6858292983","https://openalex.org/W6873344623"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W1987967678","https://openalex.org/W2633218168","https://openalex.org/W4235897794","https://openalex.org/W2059707233","https://openalex.org/W1983126463","https://openalex.org/W2085738998","https://openalex.org/W2095126257","https://openalex.org/W2031511989"],"abstract_inverted_index":{"Vehicle":[0],"detection":[1,77,176,222],"is":[2,22],"vital":[3],"for":[4,15,24,99,220],"urban":[5],"planning":[6],"and":[7,19,52,127,141,195,218],"traffic":[8],"management.":[9],"Optical":[10],"remote":[11,224],"sensing":[12,225],"imagery,":[13],"known":[14],"its":[16],"high":[17],"resolution":[18],"extensive":[20],"coverage,":[21],"ideal":[23],"this":[25],"task.":[26],"Traditional":[27],"horizontal":[28],"bounding":[29,43],"box":[30,44],"(HBB)":[31],"annotations":[32,46,90,98,212],"often":[33],"include":[34],"excessive":[35],"background,":[36],"leading":[37],"to":[38,54,104,151,172],"reduced":[39],"accuracy,":[40],"whereas":[41],"oriented":[42,75,167],"(OBB)":[45],"are":[47],"more":[48],"precise":[49],"but":[50],"costly":[51],"prone":[53],"human":[55],"error.":[56],"To":[57],"address":[58],"these":[59],"issues,":[60],"we":[61,113],"propose":[62],"the":[63,115,174,202],"Oriented":[64],"Group":[65],"R-CNN":[66],"+":[67],"Student":[68],"Model":[69],"(OGR-SM)":[70],"framework,":[71,190],"a":[72,85,93,120,142,155,179],"weakly":[73,159],"semisupervised":[74],"vehicle":[76,175,221],"method":[78,209],"based":[79],"on":[80,184],"single-point":[81,97,130,161],"annotations.":[82,111,131],"It":[83],"leverages":[84],"small":[86,121],"amount":[87],"of":[88,96,123,158,204],"OBB":[89],"along":[91],"with":[92,108,148,213],"large":[94,156],"quantity":[95],"training,":[100],"achieving":[101],"performance":[102],"comparable":[103],"fully":[105,205],"supervised":[106,206],"learning":[107],"100%":[109],"complete":[110],"Specifically,":[112],"train":[114],"teacher":[116],"model":[117,133],"(OGR)":[118],"using":[119,191],"set":[122,157],"accurately":[124],"annotated":[125,160],"OBBs":[126,194],"their":[128],"corresponding":[129],"This":[132],"employs":[134],"an":[135],"instance-point":[136],"driven":[137],"proposal":[138,144],"grouping":[139],"strategy":[140,146],"group-based":[143],"assignment":[145],"enhanced":[147],"point":[149],"location":[150],"generate":[152],"pseudo-OBBs":[153],"from":[154],"data.":[162],"We":[163],"then":[164],"utilize":[165],"conventional":[166],"detectors":[168],"as":[169],"student":[170],"models":[171],"perform":[173],"task":[177],"in":[178,223],"standard":[180],"manner.":[181],"Extensive":[182],"experiments":[183],"two":[185],"datasets":[186],"show":[187],"that":[188],"our":[189],"limited":[192],"accurate":[193],"many":[196],"pseudo-OBBs,":[197],"can":[198],"achieve":[199],"or":[200],"surpass":[201],"accuracy":[203],"models.":[207],"Our":[208],"balances":[210],"high-quality":[211],"data":[214],"availability,":[215],"enhancing":[216],"scalability":[217],"robustness":[219],"applications.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}