{"id":"https://openalex.org/W7115708245","doi":"https://doi.org/10.1109/lgrs.2025.3645569","title":"Cross-Scale Context-Aware Ship Detection in SAR Images Using CSCF-Net","display_name":"Cross-Scale Context-Aware Ship Detection in SAR Images Using CSCF-Net","publication_year":2025,"publication_date":"2025-12-17","ids":{"openalex":"https://openalex.org/W7115708245","doi":"https://doi.org/10.1109/lgrs.2025.3645569"},"language":null,"primary_location":{"id":"doi:10.1109/lgrs.2025.3645569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3645569","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":null,"display_name":"Liangang Qi","orcid":"https://orcid.org/0000-0003-1060-9146"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liangang Qi","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen Huang","orcid":"https://orcid.org/0009-0004-2172-4865"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Huang","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":null,"display_name":"Qiang Guo","orcid":"https://orcid.org/0000-0002-8366-7163"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Guo","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6133596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.6165000200271606,"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":0.6165000200271606,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.2502000033855438,"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":0.049800001084804535,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.723800003528595},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5314000248908997},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47279998660087585},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.45329999923706055},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43549999594688416},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4174000024795532},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.39340001344680786},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.3499000072479248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7784000039100647},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.723800003528595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6421999931335449},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5891000032424927},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5314000248908997},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47279998660087585},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.45329999923706055},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43549999594688416},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4174000024795532},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4088999927043915},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.39340001344680786},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3499000072479248},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.3280999958515167},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.32710000872612},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.28839999437332153},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.2563999891281128},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3645569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3645569","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":[],"awards":[{"id":"https://openalex.org/G2518680850","display_name":null,"funder_award_id":"2023YFC2809400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1991367009","https://openalex.org/W2295751062","https://openalex.org/W2632026579","https://openalex.org/W2904480641","https://openalex.org/W2928007866","https://openalex.org/W2982770724","https://openalex.org/W3038948729","https://openalex.org/W3096609285","https://openalex.org/W3200733355","https://openalex.org/W3203326738","https://openalex.org/W4210842488","https://openalex.org/W4280507794","https://openalex.org/W4387366248","https://openalex.org/W4391768380","https://openalex.org/W4402667905","https://openalex.org/W4403770406","https://openalex.org/W4407267524"],"related_works":[],"abstract_inverted_index":{"SAR":[0,52],"ship":[1],"detection":[2],"faces":[3],"challenges":[4],"such":[5],"as":[6],"scale":[7],"diversity,":[8],"weak":[9],"target":[10],"features,":[11],"and":[12,34,66,73,82],"strong":[13],"background":[14],"interference.":[15],"To":[16],"address":[17],"these":[18],"issues,":[19],"we":[20],"propose":[21],"CSCF-Net,":[22],"integrating":[23],"a":[24,35],"Multi-Scale":[25],"Feature":[26],"Fusion":[27],"(MSFF)":[28],"module":[29],"for":[30,41],"cross-scale":[31],"contextual":[32],"aggregation":[33],"Multi-Task":[36],"Interactive":[37],"Detection":[38],"Head":[39],"(MTIDH)":[40],"task-specific":[42],"optimization":[43],"through":[44],"dynamic":[45],"deformable":[46],"convolution.":[47],"Extensive":[48],"experiments":[49],"on":[50,61,64,68],"three":[51],"datasets":[53],"demonstrate":[54],"superior":[55],"performance:":[56],"CSCF-Net":[57],"achieves":[58],"98.5%":[59],"mAP":[60],"SSDD,":[62],"91.5%":[63],"HRSID,":[65],"98.1%":[67],"SAR-Ship-Dataset,":[69],"with":[70],"1.0%,":[71],"2.2%,":[72],"0.9%":[74],"improvements":[75],"over":[76],"baseline":[77],"respectively,":[78],"outperforming":[79],"state-of-the-art":[80],"methods":[81],"validating":[83],"the":[84],"effectiveness":[85],"of":[86],"our":[87],"proposed":[88],"method.":[89]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-17T00:00:00"}
