{"id":"https://openalex.org/W3132349651","doi":"https://doi.org/10.1109/igarss39084.2020.9323608","title":"Geospatial Object Detection with Single Shot Anchor-Free Network","display_name":"Geospatial Object Detection with Single Shot Anchor-Free Network","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3132349651","doi":"https://doi.org/10.1109/igarss39084.2020.9323608","mag":"3132349651"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002896929","display_name":"Yiyou Guo","orcid":"https://orcid.org/0000-0002-3497-6939"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyou Guo","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University,Shanghai,China,200092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University,Shanghai,China,200092","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064423286","display_name":"Jinsheng Ji","orcid":"https://orcid.org/0000-0002-5360-919X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsheng Ji","raw_affiliation_strings":["Shanghai Key Lab. of Intelligent Sensing and Recognition, Shanghai Jiao Tong University,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Lab. of Intelligent Sensing and Recognition, Shanghai Jiao Tong University,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081796777","display_name":"Xiankai Lu","orcid":"https://orcid.org/0000-0002-9543-6960"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Xiankai Lu","raw_affiliation_strings":["Inception Institute of Artificial Intelligence,Abu Dhabi,UAE,5151"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence,Abu Dhabi,UAE,5151","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008163978","display_name":"Huan Xie","orcid":"https://orcid.org/0000-0003-3272-7848"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Xie","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University,Shanghai,China,200092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University,Shanghai,China,200092","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039348214","display_name":"Xiaohua Tong","orcid":"https://orcid.org/0000-0002-1045-3797"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Tong","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University,Shanghai,China,200092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University,Shanghai,China,200092","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"280","last_page":"283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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/geospatial-analysis","display_name":"Geospatial analysis","score":0.9017730355262756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7671265602111816},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6720322370529175},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5934233665466309},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.5479070544242859},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5337655544281006},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5168545842170715},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.47069621086120605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4258521497249603},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.22827646136283875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22195550799369812},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0980767011642456},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08879706263542175},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0845305323600769}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.9017730355262756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7671265602111816},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6720322370529175},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5934233665466309},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.5479070544242859},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5337655544281006},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5168545842170715},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.47069621086120605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4258521497249603},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.22827646136283875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22195550799369812},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0980767011642456},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08879706263542175},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0845305323600769},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G699592975","display_name":null,"funder_award_id":"41822106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8032519282","display_name":null,"funder_award_id":"2018YF-B0505400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2005368619","https://openalex.org/W2193145675","https://openalex.org/W2407521645","https://openalex.org/W2512351403","https://openalex.org/W2570343428","https://openalex.org/W2577537809","https://openalex.org/W2733535455","https://openalex.org/W2774989306","https://openalex.org/W2884561390","https://openalex.org/W2890319410","https://openalex.org/W2897666265","https://openalex.org/W2911996285","https://openalex.org/W2950800384","https://openalex.org/W2953705887","https://openalex.org/W2955084925","https://openalex.org/W2957667237","https://openalex.org/W2963351448","https://openalex.org/W2978370258","https://openalex.org/W2989604896","https://openalex.org/W3011876202","https://openalex.org/W3035295069","https://openalex.org/W3098218837","https://openalex.org/W3106250896","https://openalex.org/W6714138976","https://openalex.org/W6784635077"],"related_works":["https://openalex.org/W3142396426","https://openalex.org/W2471333042","https://openalex.org/W4396643691","https://openalex.org/W4402383816","https://openalex.org/W2955491601","https://openalex.org/W146529714","https://openalex.org/W4402559869","https://openalex.org/W4230158770","https://openalex.org/W2316500695","https://openalex.org/W2017914143"],"abstract_inverted_index":{"Geospatial":[0],"object":[1,12],"detection":[2,19,102],"has":[3],"made":[4],"considerable":[5],"progress":[6],"with":[7,40,99],"the":[8,18,24,45,48,52,59,63,79,86,89],"use":[9],"of":[10,27,67,81],"anchor-based":[11,101],"detectors.":[13],"In":[14],"such":[15],"a":[16,32],"situation,":[17],"performance":[20,98],"relies":[21],"heavily":[22],"on":[23,88],"parameter":[25],"settings":[26],"anchor":[28,46,55],"boxes.":[29],"We":[30,84],"present":[31],"Single":[33],"Shot":[34],"Anchor-Free":[35],"Network":[36],"(SSAFNet)":[37],"to":[38,77],"tackle":[39],"this":[41],"problem.":[42],"By":[43],"eliminating":[44],"boxes,":[47],"SSAFNet":[49,87],"completely":[50],"avoids":[51],"carefully":[53],"predefined":[54],"boxes":[56],"parameters":[57],"and":[58,93],"computation":[60],"for":[61],"adapting":[62],"huge":[64],"scale":[65],"variation":[66],"geospatial":[68],"objects.":[69,83],"A":[70],"compositional":[71],"attention":[72],"network":[73],"is":[74],"further":[75],"introduced":[76],"enhance":[78],"saliency":[80],"foreground":[82],"evaluate":[85],"representative":[90],"NWPU":[91],"VHR-10":[92],"RSOD":[94],"datasets,":[95],"achieving":[96],"competitive":[97],"state-of-the-art":[100],"methods.":[103]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
