{"id":"https://openalex.org/W2775351011","doi":"https://doi.org/10.1109/igarss.2017.8127014","title":"Ship classification with deep learning using COSMO-SkyMed SAR data","display_name":"Ship classification with deep learning using COSMO-SkyMed SAR data","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2775351011","doi":"https://doi.org/10.1109/igarss.2017.8127014","mag":"2775351011"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5115076700","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0003-4887-923X"},"institutions":[{"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":true,"raw_author_name":"Chao Wang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430255","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0002-0088-8148"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113597664","display_name":"Fan Wu","orcid":"https://orcid.org/0000-0002-9280-8378"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wu","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101981649","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0003-3608-0842"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020900169","display_name":"Sirui Tian","orcid":"https://orcid.org/0000-0003-3601-6189"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sirui Tian","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115076700"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":2.2733,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86999228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"558","last_page":"561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9954000115394592,"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"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9954000115394592,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.984499990940094,"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":0.9717000126838684,"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":0.7540102601051331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.643726110458374},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5854747295379639},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5509160161018372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5166900157928467},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5149093866348267},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.507072925567627},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4679756462574005},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4639316201210022},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.42131558060646057},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.25985807180404663},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14484238624572754}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7540102601051331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.643726110458374},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5854747295379639},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5509160161018372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5166900157928467},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5149093866348267},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.507072925567627},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4679756462574005},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4639316201210022},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.42131558060646057},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.25985807180404663},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14484238624572754},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8127014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1920235975","https://openalex.org/W1998489088","https://openalex.org/W2089709331","https://openalex.org/W2136922672","https://openalex.org/W2221448138","https://openalex.org/W2292481059","https://openalex.org/W2319040573","https://openalex.org/W2410591237","https://openalex.org/W2432811830","https://openalex.org/W2546483212","https://openalex.org/W2547578938","https://openalex.org/W2559324447"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2545123933","https://openalex.org/W2585813813","https://openalex.org/W3110962985","https://openalex.org/W2042726296"],"abstract_inverted_index":{"Ship":[0],"classification":[1,68],"with":[2,69],"spaceborne":[3],"high":[4],"resolution":[5],"synthetic":[6],"aperture":[7],"radar":[8,94],"(SAR)":[9],"has":[10,26],"wide":[11],"applications":[12],"in":[13,36,48,73],"maritime":[14],"traffic":[15],"monitoring,":[16],"fishing":[17],"law-enforcement":[18],"operation,":[19],"marine":[20],"security,":[21],"etc.":[22],"Deep":[23],"learning,":[24],"which":[25],"the":[27,54,74],"ability":[28],"of":[29,93],"learning":[30],"features":[31],"itself,":[32],"is":[33],"successfully":[34],"used":[35,65],"computer":[37],"vision":[38],"and":[39,42,97],"artificial":[40],"intelligence,":[41],"introduced":[43],"into":[44],"remote":[45],"sensing":[46],"field":[47],"recent":[49],"years.":[50],"In":[51],"this":[52],"study,":[53],"Italian":[55],"COSMO-SkyMed":[56],"SAR":[57],"images":[58],"acquired":[59],"on":[60],"Jul.":[61],"12-15,":[62],"2010":[63],"were":[64],"for":[66,104],"ship":[67,98],"convolution":[70],"neural":[71],"networks":[72],"Google's":[75],"TensorFlow":[76],"environment.":[77],"The":[78],"results":[79],"show":[80],"that":[81],"cargo":[82],"ships":[83],"could":[84],"be":[85],"discriminated":[86],"from":[87],"non-cargo":[88],"ships.":[89],"Due":[90],"to":[91],"variations":[92],"illumination":[95],"directions":[96],"poses,":[99],"more":[100],"data":[101],"are":[102],"necessary":[103],"sub-category":[105],"classification.":[106]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
