{"id":"https://openalex.org/W4387803645","doi":"https://doi.org/10.1109/igarss52108.2023.10282810","title":"SAR Ship Detection in Range-Compressed Domain Based on LSTM Method","display_name":"SAR Ship Detection in Range-Compressed Domain Based on LSTM Method","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387803645","doi":"https://doi.org/10.1109/igarss52108.2023.10282810"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 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/A5035037611","display_name":"Yuze Gao","orcid":"https://orcid.org/0009-0001-6033-3048"},"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":"Yuze Gao","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai Key Laboratory of Intelligent Sensing and Recognition,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai Key Laboratory of Intelligent Sensing and Recognition,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101614202","display_name":"Dongying Li","orcid":"https://orcid.org/0000-0003-3434-9924"},"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":"Dongying Li","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai Key Laboratory of Intelligent Sensing and Recognition,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai Key Laboratory of Intelligent Sensing and Recognition,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027639981","display_name":"Weiwei Guo","orcid":"https://orcid.org/0000-0001-5037-0972"},"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":"Weiwei Guo","raw_affiliation_strings":["Tongji University,Center of Digital Innovation,Shanghai,China,200092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University,Center of Digital Innovation,Shanghai,China,200092","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445293","display_name":"Wenxian Yu","orcid":"https://orcid.org/0000-0002-8741-776X"},"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":"Wenxian Yu","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai Key Laboratory of Intelligent Sensing and Recognition,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai Key Laboratory of Intelligent Sensing and Recognition,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6422","last_page":"6425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9980999827384949,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9969000220298767,"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":0.8127833008766174},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.8035867214202881},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6000876426696777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5852990746498108},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5749499797821045},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5558814406394958},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4998438358306885},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.47613027691841125},{"id":"https://openalex.org/keywords/point-target","display_name":"Point target","score":0.45682600140571594},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4443530738353729},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42916393280029297},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.41214585304260254},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3648200035095215},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09348985552787781},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09310603141784668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8127833008766174},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8035867214202881},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6000876426696777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5852990746498108},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5749499797821045},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5558814406394958},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4998438358306885},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.47613027691841125},{"id":"https://openalex.org/C2778999744","wikidata":"https://www.wikidata.org/wiki/Q7208292","display_name":"Point target","level":3,"score":0.45682600140571594},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4443530738353729},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42916393280029297},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.41214585304260254},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3648200035095215},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09348985552787781},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09310603141784668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2964114203","https://openalex.org/W3111550440","https://openalex.org/W4291910365","https://openalex.org/W4312747212","https://openalex.org/W4386662857","https://openalex.org/W6855517858"],"related_works":["https://openalex.org/W2996630340","https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W2032982027","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W2613451563","https://openalex.org/W2545123933","https://openalex.org/W1994788526","https://openalex.org/W2011609146"],"abstract_inverted_index":{"Most":[0],"of":[1,25,83,99],"the":[2,16,26,30,53,67,72,81,97],"conventional":[3],"ship":[4,68,103],"detection":[5,104],"methods":[6],"based":[7],"on":[8,90],"synthetic":[9],"aperture":[10],"radar":[11],"(SAR)":[12],"intends":[13],"to":[14,65],"process":[15],"focused":[17],"images,":[18],"which":[19],"does":[20],"not":[21],"take":[22],"full":[23],"advantages":[24],"intermediate":[27],"data":[28],"in":[29,52,102],"SAR":[31,92],"imaging":[32],"process.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,87],"introduce":[38],"a":[39,44,59],"new":[40],"framework":[41,101],"that":[42],"treats":[43],"two-dimensional":[45],"point":[46],"target":[47],"as":[48],"multiple":[49],"one-dimensional":[50],"sequences":[51],"range-compressed":[54],"domain,":[55],"and":[56,75],"then":[57],"employs":[58],"Long":[60],"Short-Term":[61],"Memory":[62],"(LSTM)-based":[63],"network":[64],"perform":[66],"detection,":[69],"thus":[70],"reducing":[71],"computational":[73],"burden":[74],"improving":[76],"efficiency":[77],"significantly.":[78],"To":[79],"validate":[80],"effectiveness":[82],"our":[84,100],"proposed":[85],"method,":[86],"conduct":[88],"experiments":[89],"real":[91],"data.":[93],"The":[94],"results":[95],"demonstrate":[96],"superiority":[98],"tasks.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}