{"id":"https://openalex.org/W2901020261","doi":"https://doi.org/10.1109/igarss.2018.8519555","title":"Inshore Ship Detection in Sar Images Based on Deep Neural Networks","display_name":"Inshore Ship Detection in Sar Images Based on Deep Neural Networks","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901020261","doi":"https://doi.org/10.1109/igarss.2018.8519555","mag":"2901020261"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8519555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8519555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 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/A5100349464","display_name":"Lei Liu","orcid":"https://orcid.org/0000-0001-5063-2864"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119270026","display_name":"Guowei Chen","orcid":"https://orcid.org/0000-0002-1071-4993"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guowei Chen","raw_affiliation_strings":["Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032116461","display_name":"Zongxu Pan","orcid":"https://orcid.org/0000-0002-5041-3300"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongxu Pan","raw_affiliation_strings":["Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056766372","display_name":"Bin Lei","orcid":"https://orcid.org/0000-0001-7625-9236"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Lei","raw_affiliation_strings":["Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069865263","display_name":"Quanzhi An","orcid":"https://orcid.org/0000-0002-7546-5107"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanzhi An","raw_affiliation_strings":["Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":1.3779,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.86429679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9940000176429749,"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":0.9940000176429749,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9757000207901001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7139608860015869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6943792104721069},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.630234956741333},{"id":"https://openalex.org/keywords/shore","display_name":"Shore","score":0.6121178865432739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6012405753135681},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5545168519020081},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5399975180625916},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5215901732444763},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4868013560771942},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47416630387306213},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45942333340644836},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4566951394081116},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4520038962364197},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44409289956092834},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40354207158088684},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3106478154659271},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20311632752418518},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1477978527545929},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.07296198606491089},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0659191906452179}],"concepts":[{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7139608860015869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6943792104721069},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.630234956741333},{"id":"https://openalex.org/C152382732","wikidata":"https://www.wikidata.org/wiki/Q468756","display_name":"Shore","level":2,"score":0.6121178865432739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6012405753135681},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5545168519020081},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5399975180625916},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5215901732444763},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4868013560771942},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47416630387306213},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45942333340644836},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4566951394081116},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4520038962364197},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44409289956092834},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40354207158088684},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3106478154659271},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20311632752418518},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1477978527545929},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.07296198606491089},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0659191906452179},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8519555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8519555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1923947552","https://openalex.org/W2090991102","https://openalex.org/W2324539079","https://openalex.org/W2534798644","https://openalex.org/W2539355242","https://openalex.org/W2564429410","https://openalex.org/W2565960758","https://openalex.org/W2665089225","https://openalex.org/W2725808522","https://openalex.org/W2747165560","https://openalex.org/W2770383210"],"related_works":["https://openalex.org/W4327500857","https://openalex.org/W2965994363","https://openalex.org/W4311223090","https://openalex.org/W1689909837","https://openalex.org/W4205729548","https://openalex.org/W4301521271","https://openalex.org/W2953362004","https://openalex.org/W4298525700","https://openalex.org/W3201861176","https://openalex.org/W2952251705"],"abstract_inverted_index":{"Inshore":[0],"ship":[1,44],"detection":[2,37,45],"in":[3],"SAR":[4,74],"image":[5,75,93],"faces":[6],"difficulties":[7],"on":[8,61,90],"correctly":[9],"identifying":[10],"near-shore":[11],"ships":[12,97],"and":[13,29,50,70],"onshore":[14],"objects.":[15],"This":[16],"article":[17],"proposes":[18],"a":[19,31],"multi-scale":[20],"full":[21],"convolutional":[22],"network":[23],"(MS-FCN)":[24],"based":[25,35],"sea-land":[26],"segmentation":[27],"method":[28,38,66],"applies":[30],"rotatable":[32],"bounding":[33],"box":[34],"object":[36],"(DR-Box)":[39],"to":[40,76],"solve":[41],"the":[42,91,102],"inshore":[43,96],"problem.":[46],"The":[47,64,80],"sea":[48,62],"region":[49,52],"land":[51],"are":[53,82,98],"separated":[54],"by":[55,101],"MS-FCN":[56],"then":[57],"DR-Box":[58],"is":[59],"applied":[60],"region.":[63],"proposed":[65,103],"combines":[67],"global":[68],"information":[69,72],"local":[71],"of":[73],"achieve":[77],"high":[78],"accuracy.":[79],"networks":[81],"trained":[83],"with":[84],"Chinese":[85],"Gaofen-3":[86],"satellite":[87],"images.":[88],"Experiments":[89],"testing":[92],"show":[94],"most":[95],"successfully":[99],"located":[100],"method.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
