{"id":"https://openalex.org/W4312960590","doi":"https://doi.org/10.1109/igarss46834.2022.9883764","title":"HFL-Net: Highlight Foreground and Local Scale Features Network for Cross-Domain Ship Detection","display_name":"HFL-Net: Highlight Foreground and Local Scale Features Network for Cross-Domain Ship Detection","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312960590","doi":"https://doi.org/10.1109/igarss46834.2022.9883764"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883764","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5031655768","display_name":"Anqi Wu","orcid":null},"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":true,"raw_author_name":"Anqi Wu","raw_affiliation_strings":["China University of Geosciences,School of Geography and Information Engineering,Wuhan,China","School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"China University of Geosciences,School of Geography and Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079862010","display_name":"Qiqi Zhu","orcid":"https://orcid.org/0000-0002-5339-0829"},"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":"Qiqi Zhu","raw_affiliation_strings":["China University of Geosciences,School of Geography and Information Engineering,Wuhan,China","School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"China University of Geosciences,School of Geography and Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031655768"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34904153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2658","last_page":"2661"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11622","display_name":"Maritime Navigation and Safety","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T12624","display_name":"Maritime and Coastal Archaeology","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/computer-science","display_name":"Computer science","score":0.7511732578277588},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6473550796508789},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6469611525535583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6312993168830872},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6114721298217773},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5522624254226685},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.451751172542572},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4149611294269562},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38532406091690063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34969884157180786},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3343300223350525},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08482241630554199},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08292454481124878}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7511732578277588},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6473550796508789},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6469611525535583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6312993168830872},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6114721298217773},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5522624254226685},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.451751172542572},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4149611294269562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38532406091690063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34969884157180786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3343300223350525},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08482241630554199},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08292454481124878},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883764","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G6674607238","display_name":null,"funder_award_id":"41901306","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":6,"referenced_works":["https://openalex.org/W1970782782","https://openalex.org/W2789845891","https://openalex.org/W2884419823","https://openalex.org/W2907085048","https://openalex.org/W3163617518","https://openalex.org/W3180954604"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2912321008","https://openalex.org/W1998607122","https://openalex.org/W2324368075","https://openalex.org/W2972124131","https://openalex.org/W338149487","https://openalex.org/W4403012196","https://openalex.org/W2972032537","https://openalex.org/W150363521","https://openalex.org/W3154107650"],"abstract_inverted_index":{"Ship":[0],"detection":[1,18,42,59],"receives":[2],"increasing":[3],"concerns":[4],"as":[5],"an":[6],"essential":[7],"ocean":[8],"mission.":[9],"Recently,":[10],"deep":[11],"learning":[12],"(DL)":[13],"has":[14],"greatly":[15],"improved":[16],"ship":[17,41,58,71],"accuracy":[19],"from":[20],"traditional":[21],"methods.":[22],"However,":[23],"most":[24],"of":[25,64],"exist":[26],"methods":[27,84],"only":[28],"utilize":[29],"single":[30],"source":[31],"data,":[32],"there":[33],"are":[34],"still":[35],"some":[36],"challenges":[37],"that":[38],"influence":[39],"the":[40,62,86,90],"performance.":[43],"Therefore,":[44],"we":[45],"propose":[46],"a":[47],"highlight":[48],"foreground":[49],"and":[50,69,85],"local":[51],"scale":[52],"features":[53],"network":[54],"(HFL-Net)":[55],"for":[56],"cross-domain":[57],"to":[60],"solve":[61],"problems":[63],"complex":[65],"inshore":[66],"background":[67],"interferences":[68],"multi-scale":[70],"feature":[72],"differences.":[73],"It":[74],"is":[75],"evaluated":[76],"on":[77],"two":[78],"datasets":[79],"with":[80],"three":[81],"other":[82],"state-of-the-art":[83],"experimental":[87],"results":[88],"confirm":[89],"superiority":[91],"ofHFL-Net.":[92]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}