{"id":"https://openalex.org/W4387682141","doi":"https://doi.org/10.1109/lgrs.2023.3324933","title":"Scattering Information Fusion Network for Oriented Ship Detection in SAR Images","display_name":"Scattering Information Fusion Network for Oriented Ship Detection in SAR Images","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387682141","doi":"https://doi.org/10.1109/lgrs.2023.3324933"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3324933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3324933","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5037442509","display_name":"Han Wang","orcid":"https://orcid.org/0000-0003-0924-5138"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210086028","display_name":"Technology and Engineering Center for Space Utilization","ror":"https://ror.org/00cn03n83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Wang","raw_affiliation_strings":["Technology and Engineering Center for Space Utilization and the Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China","Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0924-5138","affiliations":[{"raw_affiliation_string":"Technology and Engineering Center for Space Utilization and the Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210086028","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210086028","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102015913","display_name":"S. Liu","orcid":"https://orcid.org/0009-0009-4158-5109"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210086028","display_name":"Technology and Engineering Center for Space Utilization","ror":"https://ror.org/00cn03n83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Silei Liu","raw_affiliation_strings":["Technology and Engineering Center for Space Utilization and the Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China","Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technology and Engineering Center for Space Utilization and the Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210086028","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210086028","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051212522","display_name":"Yixuan Lv","orcid":"https://orcid.org/0000-0002-9007-3822"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210086028","display_name":"Technology and Engineering Center for Space Utilization","ror":"https://ror.org/00cn03n83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Lv","raw_affiliation_strings":["Technology and Engineering Center for Space Utilization and the Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China","Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9007-3822","affiliations":[{"raw_affiliation_string":"Technology and Engineering Center for Space Utilization and the Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210086028","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210086028","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111003697","display_name":"Shengyang Li","orcid":"https://orcid.org/0000-0002-9888-9869"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210086028","display_name":"Technology and Engineering Center for Space Utilization","ror":"https://ror.org/00cn03n83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyang Li","raw_affiliation_strings":["Technology and Engineering Center for Space Utilization and the Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China","Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9888-9869","affiliations":[{"raw_affiliation_string":"Technology and Engineering Center for Space Utilization and the Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210086028","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210086028","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.2775,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.98231275,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9990000128746033,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9977999925613403,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9962000250816345,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.81425541639328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7735459804534912},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6333524584770203},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6117398738861084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5985053777694702},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5447150468826294},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.48696646094322205},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.46781110763549805},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.46104592084884644},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46073099970817566},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45343321561813354},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4299757778644562},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4186941385269165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36736470460891724},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3398028016090393},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.31166577339172363},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11757975816726685},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09433853626251221}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.81425541639328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7735459804534912},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6333524584770203},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6117398738861084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5985053777694702},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5447150468826294},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.48696646094322205},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.46781110763549805},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.46104592084884644},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46073099970817566},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45343321561813354},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4299757778644562},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4186941385269165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36736470460891724},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3398028016090393},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31166577339172363},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11757975816726685},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09433853626251221},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3324933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3324933","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G27490492","display_name":"\u57fa\u4e8e\u5185\u9646\u6c34\u4f53\u7684\u5408\u6210\u5b54\u5f84\u5e72\u6d89\u96f7\u8fbe\u9ad8\u5ea6\u8ba1\u9ad8\u7cbe\u5ea6\u5b9a\u6807\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41971329","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5169889009","display_name":null,"funder_award_id":"KGFZD-145-23-18","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2625829240","https://openalex.org/W2770121394","https://openalex.org/W2907034392","https://openalex.org/W2947256382","https://openalex.org/W2963351448","https://openalex.org/W2982770724","https://openalex.org/W2986357608","https://openalex.org/W3033996275","https://openalex.org/W3038948729","https://openalex.org/W3042957710","https://openalex.org/W3170033848","https://openalex.org/W3174873843","https://openalex.org/W4225125774","https://openalex.org/W4288277460","https://openalex.org/W4367665802","https://openalex.org/W4404090460","https://openalex.org/W6754416387","https://openalex.org/W6766844300"],"related_works":["https://openalex.org/W2964954556","https://openalex.org/W2969228573","https://openalex.org/W2545123933","https://openalex.org/W2585813813","https://openalex.org/W2042726296","https://openalex.org/W2096748030","https://openalex.org/W3016428515","https://openalex.org/W2160730947","https://openalex.org/W2747205507","https://openalex.org/W2917196883"],"abstract_inverted_index":{"Synthetic":[0],"aperture":[1],"radar":[2],"(SAR)":[3],"image":[4],"ship":[5,44,64,80,114,174],"detection":[6,45,71,115,181],"is":[7,65,72,92],"a":[8,106,121,130],"popular":[9],"area":[10],"of":[11,55,62,120,143,160,172],"ocean":[12,21],"remote":[13],"sensing,":[14],"which":[15],"has":[16,31],"broad":[17],"application":[18],"prospects":[19],"in":[20,34,116],"monitoring,":[22],"maritime":[23],"rescue":[24],"and":[25,69,88,129,197,202],"other":[26],"tasks.":[27],"Recently,":[28],"deep":[29],"learning":[30,134],"been":[32],"used":[33],"this":[35],"field,":[36],"but":[37],"convolutional":[38],"neural":[39],"network":[40,148],"(CNN)":[41],"based":[42],"SAR":[43,79,117],"still":[46],"faces":[47],"some":[48],"challenges.":[49],"First,":[50],"due":[51],"to":[52,74,94,96,149,179],"the":[53,59,63,70,141,147,161,169,173,194],"characteristic":[54],"CNN\u2019s":[56],"local":[57],"convolution,":[58],"global":[60,144],"information":[61,125,133,186],"not":[66],"sufficiently":[67],"learned":[68],"vulnerable":[73],"complex":[75],"background":[76],"interference.":[77],"Second,":[78],"imaging":[81,86,177],"varies":[82],"greatly":[83],"under":[84,175],"different":[85,176],"conditions":[87,178],"postures,":[89],"so":[90],"CNN":[91],"difficult":[93],"adapt":[95],"scattering":[97,131,164,185],"change":[98],"imaging.":[99],"To":[100],"solve":[101],"these":[102],"problems,":[103],"we":[104],"propose":[105],"Scattering":[107],"Information":[108],"Fusion":[109],"Network":[110],"(SIFNet)":[111],"for":[112],"oriented":[113],"Images":[118],"consisting":[119],"multi-scale":[122],"contextual":[123],"semantic":[124],"fusion":[126],"(MCSIF)":[127],"module":[128,139,157],"points":[132,165],"(SPIL)":[135],"module.":[136],"The":[137,155],"MCSIF":[138],"enhances":[140],"acquisition":[142],"information,":[145],"enabling":[146],"extract":[150],"more":[151,182],"efficient":[152],"feature":[153],"maps.":[154],"SPIL":[156],"takes":[158],"advantage":[159],"fact":[162],"that":[163,190],"can":[166],"stably":[167],"represent":[168],"key":[170],"features":[171],"make":[180],"robust":[183],"through":[184],"learning.":[187],"Experiments":[188],"show":[189],"our":[191],"method":[192],"achieves":[193],"highest":[195],"F1-score":[196],"AP50":[198],"on":[199],"both":[200],"HRSID":[201],"RSDD-SAR":[203],"datasets.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}