{"id":"https://openalex.org/W4281762445","doi":"https://doi.org/10.3390/rs14112712","title":"Deep Learning for SAR Ship Detection: Past, Present and Future","display_name":"Deep Learning for SAR Ship Detection: Past, Present and Future","publication_year":2022,"publication_date":"2022-06-05","ids":{"openalex":"https://openalex.org/W4281762445","doi":"https://doi.org/10.3390/rs14112712"},"language":"en","primary_location":{"id":"doi:10.3390/rs14112712","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14112712","pdf_url":"https://www.mdpi.com/2072-4292/14/11/2712/pdf?version=1654772629","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/11/2712/pdf?version=1654772629","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104336185","display_name":"Jianwei Li","orcid":"https://orcid.org/0009-0008-6868-5751"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianwei Li","raw_affiliation_strings":["Information Fusion Institute, Naval Aviation University, Yantai 264000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Fusion Institute, Naval Aviation University, Yantai 264000, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076375500","display_name":"Congan Xu","orcid":"https://orcid.org/0000-0003-2648-7227"},"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"]},{"id":"https://openalex.org/I4210110931","display_name":"Jinan Institute of Quantum Technology","ror":"https://ror.org/02557nd11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210110931"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Congan Xu","raw_affiliation_strings":["Advanced Technology Research Institute, Beijing Institute of Technology, Jinan 250300, China","Information Fusion Institute, Naval Aviation University, Yantai 264000, China"],"raw_orcid":"https://orcid.org/0000-0003-2648-7227","affiliations":[{"raw_affiliation_string":"Advanced Technology Research Institute, Beijing Institute of Technology, Jinan 250300, China","institution_ids":["https://openalex.org/I4210110931","https://openalex.org/I125839683"]},{"raw_affiliation_string":"Information Fusion Institute, Naval Aviation University, Yantai 264000, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341890","display_name":"Hang Su","orcid":"https://orcid.org/0000-0002-6494-1390"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hang Su","raw_affiliation_strings":["Information Fusion Institute, Naval Aviation University, Yantai 264000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Fusion Institute, Naval Aviation University, Yantai 264000, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101449874","display_name":"Long Gao","orcid":"https://orcid.org/0000-0002-0822-3116"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Long Gao","raw_affiliation_strings":["Information Fusion Institute, Naval Aviation University, Yantai 264000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Fusion Institute, Naval Aviation University, Yantai 264000, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110650908","display_name":"Taoyang Wang","orcid":"https://orcid.org/0000-0002-6014-5354"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taoyang Wang","raw_affiliation_strings":["School of Remote Sensing Information Engineering, Wuhan University, Wuhan 430000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing Information Engineering, Wuhan University, Wuhan 430000, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076375500"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I4210110931"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":14.3377,"has_fulltext":false,"cited_by_count":213,"citation_normalized_percentile":{"value":0.9952,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"14","issue":"11","first_page":"2712","last_page":"2712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9976999759674072,"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":0.9976999759674072,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9817000031471252,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9789999723434448,"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/computer-science","display_name":"Computer science","score":0.8410497307777405},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.838156521320343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.769995927810669},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5594841837882996},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5566669702529907},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5454098582267761},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5334000587463379},{"id":"https://openalex.org/keywords/timeline","display_name":"Timeline","score":0.5243985056877136},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46884310245513916},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4413470923900604},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41385719180107117},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.41323086619377136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.18020358681678772}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8410497307777405},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.838156521320343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.769995927810669},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5594841837882996},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5566669702529907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5454098582267761},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5334000587463379},{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.5243985056877136},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46884310245513916},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4413470923900604},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41385719180107117},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.41323086619377136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18020358681678772},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14112712","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14112712","pdf_url":"https://www.mdpi.com/2072-4292/14/11/2712/pdf?version=1654772629","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8aae2dd92a5e4097881177d335964f3b","is_oa":true,"landing_page_url":"https://doaj.org/article/8aae2dd92a5e4097881177d335964f3b","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":"Remote Sensing, Vol 14, Iss 11, p 2712 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/11/2712/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14112712","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 11; Pages: 2712","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14112712","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14112712","pdf_url":"https://www.mdpi.com/2072-4292/14/11/2712/pdf?version=1654772629","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2407514581","display_name":null,"funder_award_id":"61790554","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2718313068","display_name":"\u7ed3\u6784\u5316\u5e72\u6270\u4e0b\u5bbd\u5e26\u96f7\u8fbe\u76ee\u6807\u81ea\u9002\u5e94\u5b50\u7a7a\u95f4\u68c0\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971432","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8111680298","display_name":null,"funder_award_id":"62022092","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8458908779","display_name":null,"funder_award_id":"61790550","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4281762445.pdf"},"referenced_works_count":265,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1979213074","https://openalex.org/W2037227137","https://openalex.org/W2079299474","https://openalex.org/W2096011446","https://openalex.org/W2117539524","https://openalex.org/W2122314989","https://openalex.org/W2193145675","https://openalex.org/W2233116163","https://openalex.org/W2407521645","https://openalex.org/W2504335775","https://openalex.org/W2547578938","https://openalex.org/W2550687635","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2593539516","https://openalex.org/W2605076167","https://openalex.org/W2632026579","https://openalex.org/W2665089225","https://openalex.org/W2747165560","https://openalex.org/W2765811365","https://openalex.org/W2774052311","https://openalex.org/W2774244034","https://openalex.org/W2774618766","https://openalex.org/W2779335303","https://openalex.org/W2784050770","https://openalex.org/W2787004668","https://openalex.org/W2788202095","https://openalex.org/W2790688320","https://openalex.org/W2793141496","https://openalex.org/W2799646862","https://openalex.org/W2800388963","https://openalex.org/W2805650139","https://openalex.org/W2806070179","https://openalex.org/W2808360995","https://openalex.org/W2808374747","https://openalex.org/W2811507834","https://openalex.org/W2884561390","https://openalex.org/W2884585870","https://openalex.org/W2889346359","https://openalex.org/W2891190453","https://openalex.org/W2892719431","https://openalex.org/W2894651257","https://openalex.org/W2897793912","https://openalex.org/W2898947732","https://openalex.org/W2899607431","https://openalex.org/W2900704220","https://openalex.org/W2901020261","https://openalex.org/W2901655515","https://openalex.org/W2901893250","https://openalex.org/W2903141337","https://openalex.org/W2903903899","https://openalex.org/W2904480641","https://openalex.org/W2910542319","https://openalex.org/W2913527107","https://openalex.org/W2914281074","https://openalex.org/W2914695977","https://openalex.org/W2919011445","https://openalex.org/W2919249702","https://openalex.org/W2919318018","https://openalex.org/W2921349453","https://openalex.org/W2922509574","https://openalex.org/W2928007866","https://openalex.org/W2928870406","https://openalex.org/W2934198733","https://openalex.org/W2936599103","https://openalex.org/W2946589087","https://openalex.org/W2950565945","https://openalex.org/W2955058313","https://openalex.org/W2955454611","https://openalex.org/W2961699889","https://openalex.org/W2962721361","https://openalex.org/W2962766617","https://openalex.org/W2962970995","https://openalex.org/W2963037989","https://openalex.org/W2963363373","https://openalex.org/W2963474687","https://openalex.org/W2963516811","https://openalex.org/W2963604034","https://openalex.org/W2963785947","https://openalex.org/W2963927307","https://openalex.org/W2964121718","https://openalex.org/W2964131688","https://openalex.org/W2964241181","https://openalex.org/W2964979676","https://openalex.org/W2966324912","https://openalex.org/W2970277117","https://openalex.org/W2973531547","https://openalex.org/W2974929105","https://openalex.org/W2976569345","https://openalex.org/W2979896486","https://openalex.org/W2981640322","https://openalex.org/W2981689412","https://openalex.org/W2981864880","https://openalex.org/W2982770724","https://openalex.org/W2982836648","https://openalex.org/W2982932271","https://openalex.org/W2983220163","https://openalex.org/W2984372632","https://openalex.org/W2985013446","https://openalex.org/W2985324923","https://openalex.org/W2985418956","https://openalex.org/W2985464328","https://openalex.org/W2986249677","https://openalex.org/W2988660918","https://openalex.org/W2989604896","https://openalex.org/W2991391304","https://openalex.org/W2994548915","https://openalex.org/W2995109197","https://openalex.org/W2997747012","https://openalex.org/W2998017713","https://openalex.org/W3006255335","https://openalex.org/W3010690864","https://openalex.org/W3011481750","https://openalex.org/W3012162230","https://openalex.org/W3012503967","https://openalex.org/W3012573144","https://openalex.org/W3013192768","https://openalex.org/W3013423277","https://openalex.org/W3013471250","https://openalex.org/W3013752682","https://openalex.org/W3014001481","https://openalex.org/W3014224354","https://openalex.org/W3016975790","https://openalex.org/W3017373943","https://openalex.org/W3020614959","https://openalex.org/W3020849359","https://openalex.org/W3021258337","https://openalex.org/W3031154432","https://openalex.org/W3032837604","https://openalex.org/W3033996275","https://openalex.org/W3034971973","https://openalex.org/W3035559754","https://openalex.org/W3036243418","https://openalex.org/W3037333637","https://openalex.org/W3037440390","https://openalex.org/W3038948729","https://openalex.org/W3039690815","https://openalex.org/W3041525128","https://openalex.org/W3044680161","https://openalex.org/W3044687664","https://openalex.org/W3049361954","https://openalex.org/W3080339216","https://openalex.org/W3081019126","https://openalex.org/W3082803449","https://openalex.org/W3089232496","https://openalex.org/W3089780760","https://openalex.org/W3092203600","https://openalex.org/W3092713828","https://openalex.org/W3094113188","https://openalex.org/W3095705255","https://openalex.org/W3096609285","https://openalex.org/W3096620784","https://openalex.org/W3101476123","https://openalex.org/W3102399105","https://openalex.org/W3102695566","https://openalex.org/W3106228955","https://openalex.org/W3106250896","https://openalex.org/W3106596917","https://openalex.org/W3106753828","https://openalex.org/W3106914811","https://openalex.org/W3107474049","https://openalex.org/W3108927275","https://openalex.org/W3110760540","https://openalex.org/W3111870206","https://openalex.org/W3112594048","https://openalex.org/W3112912022","https://openalex.org/W3114454976","https://openalex.org/W3115624561","https://openalex.org/W3116504381","https://openalex.org/W3117374221","https://openalex.org/W3117757470","https://openalex.org/W3118170868","https://openalex.org/W3118256649","https://openalex.org/W3118944910","https://openalex.org/W3119276156","https://openalex.org/W3119328365","https://openalex.org/W3124929376","https://openalex.org/W3126212272","https://openalex.org/W3126417070","https://openalex.org/W3127668714","https://openalex.org/W3127811628","https://openalex.org/W3127907330","https://openalex.org/W3129248922","https://openalex.org/W3129259915","https://openalex.org/W3129289673","https://openalex.org/W3129437613","https://openalex.org/W3129498926","https://openalex.org/W3129762368","https://openalex.org/W3129930930","https://openalex.org/W3129993550","https://openalex.org/W3130337729","https://openalex.org/W3130583310","https://openalex.org/W3130969601","https://openalex.org/W3131228544","https://openalex.org/W3132037284","https://openalex.org/W3134517928","https://openalex.org/W3135022023","https://openalex.org/W3135910033","https://openalex.org/W3136239039","https://openalex.org/W3136518870","https://openalex.org/W3137209321","https://openalex.org/W3137278923","https://openalex.org/W3138516171","https://openalex.org/W3149022835","https://openalex.org/W3154008176","https://openalex.org/W3158147561","https://openalex.org/W3163510280","https://openalex.org/W3165346672","https://openalex.org/W3165629794","https://openalex.org/W3166561508","https://openalex.org/W3169512507","https://openalex.org/W3169811568","https://openalex.org/W3170020450","https://openalex.org/W3170133874","https://openalex.org/W3176050216","https://openalex.org/W3178327258","https://openalex.org/W3180954604","https://openalex.org/W3184737818","https://openalex.org/W3184820801","https://openalex.org/W3184840388","https://openalex.org/W3190238140","https://openalex.org/W3193982805","https://openalex.org/W3194790201","https://openalex.org/W3197704289","https://openalex.org/W3200733355","https://openalex.org/W3205156060","https://openalex.org/W3206067076","https://openalex.org/W3206873062","https://openalex.org/W3210550848","https://openalex.org/W3213153125","https://openalex.org/W3215978186","https://openalex.org/W4200032904","https://openalex.org/W4200381407","https://openalex.org/W4200434711","https://openalex.org/W4200493764","https://openalex.org/W4210364703","https://openalex.org/W4210618466","https://openalex.org/W4214571488","https://openalex.org/W4214700866","https://openalex.org/W4221044012","https://openalex.org/W4225819166","https://openalex.org/W4225833008","https://openalex.org/W4229363716","https://openalex.org/W4280601076","https://openalex.org/W4295312788","https://openalex.org/W4319586291","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6742348326","https://openalex.org/W6756342790","https://openalex.org/W6766978945","https://openalex.org/W6777585957","https://openalex.org/W6779974611","https://openalex.org/W6781434178","https://openalex.org/W6785640865","https://openalex.org/W6789657028","https://openalex.org/W6791518862","https://openalex.org/W6796451364","https://openalex.org/W6799814841","https://openalex.org/W6802230011","https://openalex.org/W6804410248","https://openalex.org/W6811047998"],"related_works":["https://openalex.org/W1858249912","https://openalex.org/W2114034199","https://openalex.org/W4391249598","https://openalex.org/W2317428717","https://openalex.org/W2734259032","https://openalex.org/W3094038556","https://openalex.org/W2014772881","https://openalex.org/W4254228154","https://openalex.org/W3049477255","https://openalex.org/W4321784794"],"abstract_inverted_index":{"After":[0,181],"the":[1,16,34,64,72,98,104,114,119,143,156,161,171,185,204,219,224,236,240,265,279,290],"revival":[2],"of":[3,36,60,85,103,187,211,228,268,308],"deep":[4,17,22,105,130,144,175],"learning":[5,18,145,176],"in":[6,9,29,55,68,70,110,201,203,235,246,251,322],"computer":[7,24,286],"vision":[8,25,287],"2012,":[10],"SAR":[11,56,111,166,269,282],"ship":[12,107,167,283],"detection":[13,108,284],"comes":[14],"into":[15,293],"era":[19],"too.":[20],"The":[21,58,137,207],"learning-based":[23,106,131],"algorithms":[26,109,262,317],"can":[27,232,311],"work":[28],"an":[30],"end-to-end":[31],"pipeline,":[32],"without":[33],"need":[35],"designing":[37],"features":[38],"manually,":[39],"and":[40,78,101,129,135,149,198,209,213,226,285,297,301,318],"they":[41],"have":[42],"amazing":[43],"performance.":[44],"As":[45],"a":[46,294],"result,":[47],"it":[48],"is":[49,63,140,146,276],"also":[50,216],"used":[51,77],"to":[52,248,264,277],"detect":[53],"ships":[54],"images.":[57,112,270],"beginning":[59],"this":[61,91,94,229,306,323],"direction":[62,227],"paper":[65],"we":[66,96,117,159,183,222,256,272],"published":[67,163],"2017BIGSARDATA,":[69],"which":[71],"first":[73],"dataset":[74],"SSDD":[75],"was":[76],"shared":[79],"with":[80],"peers.":[81],"Since":[82],"then,":[83],"lots":[84],"researchers":[86,259],"focus":[87],"their":[88,150],"attention":[89],"on":[90,253],"field.":[92,230,324],"In":[93,113,155,218],"paper,":[95],"analyze":[97,118,160],"past,":[99],"present,":[100],"future":[102,220],"past":[115,237],"section,":[116],"difference":[120],"between":[121,281],"traditional":[122,138],"CFAR":[123],"(constant":[124],"false":[125],"alarm":[126],"rate)":[127],"based":[128],"detectors":[132,200],"through":[133],"theory":[134],"experiment.":[136],"method":[139],"unsupervised":[141],"while":[142],"strongly":[147],"supervised,":[148],"performance":[151],"varies":[152],"several":[153],"times.":[154],"present":[157],"part,":[158,221],"177":[162,205,309],"papers":[164,310],"about":[165],"detection.":[168],"We":[169,231,303],"highlight":[170],"dataset,":[172],"algorithm,":[173],"performance,":[174],"framework,":[177],"country,":[178],"timeline,":[179],"etc.":[180],"that,":[182,234],"introduce":[184],"use":[186],"single-stage,":[188],"two-stage,":[189],"anchor-free,":[190],"train":[191],"from":[192,244],"scratch,":[193],"oriented":[194],"bounding":[195],"box,":[196],"multi-scale,":[197],"real-time":[199],"detail":[202],"papers.":[206],"advantages":[208],"disadvantages":[210],"speed":[212],"accuracy":[214],"are":[215],"analyzed.":[217],"list":[223],"problem":[225],"find":[233],"five":[238],"years,":[239],"AP50":[241],"has":[242],"boosted":[243],"78.8%":[245],"2017":[247],"97.8":[249],"%":[250],"2022":[252],"SSDD.":[254],"Additionally,":[255],"think":[257],"that":[258,305],"should":[260,273],"design":[261],"according":[263],"specific":[266],"characteristics":[267],"What":[271],"do":[274],"next":[275],"bridge":[278],"gap":[280],"by":[288],"merging":[289],"small":[291],"datasets":[292],"large":[295],"one":[296],"formulating":[298],"corresponding":[299],"standards":[300],"benchmarks.":[302],"expect":[304],"survey":[307],"make":[312],"people":[313],"better":[314],"understand":[315],"these":[316],"stimulate":[319],"more":[320],"research":[321]},"counts_by_year":[{"year":2026,"cited_by_count":36},{"year":2025,"cited_by_count":73},{"year":2024,"cited_by_count":71},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2022-06-13T00:00:00"}