{"id":"https://openalex.org/W2100503224","doi":"https://doi.org/10.1109/tgrs.2010.2046330","title":"A Novel Hierarchical Method of Ship Detection from Spaceborne Optical Image Based on Shape and Texture Features","display_name":"A Novel Hierarchical Method of Ship Detection from Spaceborne Optical Image Based on Shape and Texture Features","publication_year":2010,"publication_date":"2010-04-30","ids":{"openalex":"https://openalex.org/W2100503224","doi":"https://doi.org/10.1109/tgrs.2010.2046330","mag":"2100503224"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2010.2046330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2046330","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5100954504","display_name":"Changren Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changren Zhu","raw_affiliation_strings":["ATR National Laboratory, National University of Defense Technology, Changsha, China","ATR Nat. Lab., Nat. Univ. of Defense Technol., Changsha, China"],"affiliations":[{"raw_affiliation_string":"ATR National Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"ATR Nat. Lab., Nat. Univ. of Defense Technol., Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101708042","display_name":"Hui Zhou","orcid":"https://orcid.org/0000-0002-7328-1398"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhou","raw_affiliation_strings":["ATR National Laboratory, National University of Defense Technology, Changsha, China","ATR Nat. Lab., Nat. Univ. of Defense Technol., Changsha, China"],"affiliations":[{"raw_affiliation_string":"ATR National Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"ATR Nat. Lab., Nat. Univ. of Defense Technol., Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002760019","display_name":"Runsheng Wang","orcid":"https://orcid.org/0000-0002-7514-0767"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runsheng Wang","raw_affiliation_strings":["ATR National Laboratory, National University of Defense Technology, Changsha, China","ATR Nat. Lab., Nat. Univ. of Defense Technol., Changsha, China"],"affiliations":[{"raw_affiliation_string":"ATR National Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"ATR Nat. Lab., Nat. Univ. of Defense Technol., Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445470","display_name":"Jun Guo","orcid":"https://orcid.org/0000-0001-9045-1339"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Guo","raw_affiliation_strings":["ATR National Laboratory, School of Electrical Science and Engineering, National University of Defense Technology, Changsha, China","ATR Nat. Lab., Nat. Univ. of Defense Technol., Changsha, China"],"affiliations":[{"raw_affiliation_string":"ATR National Laboratory, School of Electrical Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"ATR Nat. Lab., Nat. Univ. of Defense Technol., Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100954504"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":21.4125,"has_fulltext":false,"cited_by_count":401,"citation_normalized_percentile":{"value":0.99526591,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"48","issue":"9","first_page":"3446","last_page":"3456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9961000084877014,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9921000003814697,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9703999757766724,"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/computer-science","display_name":"Computer science","score":0.7878365516662598},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7381684184074402},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.545509397983551},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.524924099445343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.518474280834198},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.470355749130249},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4408011734485626},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4325729310512543},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4172575771808624},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4100021719932556},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12133130431175232},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11308124661445618}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7878365516662598},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7381684184074402},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.545509397983551},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.524924099445343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.518474280834198},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.470355749130249},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4408011734485626},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4325729310512543},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4172575771808624},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4100021719932556},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12133130431175232},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11308124661445618},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2010.2046330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2046330","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.7900000214576721,"display_name":"Life below water"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W140065445","https://openalex.org/W142575998","https://openalex.org/W147723833","https://openalex.org/W247104752","https://openalex.org/W1486296693","https://openalex.org/W1534477342","https://openalex.org/W1535046761","https://openalex.org/W1545641654","https://openalex.org/W1967847028","https://openalex.org/W1982558124","https://openalex.org/W1983954149","https://openalex.org/W2009061394","https://openalex.org/W2015975137","https://openalex.org/W2028652181","https://openalex.org/W2031294548","https://openalex.org/W2034875816","https://openalex.org/W2039051707","https://openalex.org/W2080890025","https://openalex.org/W2097643305","https://openalex.org/W2102697860","https://openalex.org/W2102852949","https://openalex.org/W2109257156","https://openalex.org/W2113076747","https://openalex.org/W2113907962","https://openalex.org/W2116040950","https://openalex.org/W2123222342","https://openalex.org/W2123649531","https://openalex.org/W2132368769","https://openalex.org/W2133059825","https://openalex.org/W2137782143","https://openalex.org/W2138454826","https://openalex.org/W2145904202","https://openalex.org/W2148275403","https://openalex.org/W2148603752","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2156978438","https://openalex.org/W2157258585","https://openalex.org/W2159498975","https://openalex.org/W2163352848","https://openalex.org/W2163808566","https://openalex.org/W2164278383","https://openalex.org/W2165090887","https://openalex.org/W2166447305","https://openalex.org/W2169200946","https://openalex.org/W2237382324","https://openalex.org/W2523288896","https://openalex.org/W4242231307","https://openalex.org/W4256068510","https://openalex.org/W4285719527","https://openalex.org/W6645965938","https://openalex.org/W6681791436","https://openalex.org/W6682860573","https://openalex.org/W6727920055"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W2355001665","https://openalex.org/W2545123933","https://openalex.org/W4389858081","https://openalex.org/W1554443815","https://openalex.org/W2538381311","https://openalex.org/W4324315429","https://openalex.org/W2548237868","https://openalex.org/W3016428515","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Ship":[0],"detection":[1,35,54,342],"from":[2,36,322],"remote":[3],"sensing":[4],"imagery":[5],"is":[6,158,172,211,295,329],"very":[7],"important,":[8],"with":[9,183,193],"a":[10,143,160,201,225,275,287,314,339],"wide":[11],"array":[12],"of":[13,33,43,51,62,71,88,96,106,118,137,165,234,302,311],"applications":[14],"in":[15,48,93,274,306,331],"areas":[16],"such":[17,66,126],"as":[18,67,127,196,198],"fishery":[19],"management,":[20],"vessel":[21],"traffic":[22],"services,":[23],"and":[24,79,89,109,131,147,154,185,188,217,227,270,278,284,335,337],"naval":[25],"warfare.":[26],"This":[27,140],"paper":[28,141],"focuses":[29],"on":[30,58,152,208,313],"the":[31,68,74,80,85,90,97,104,116,135,231,238,255,260,267,299,303],"issue":[32],"ship":[34,53,120,138,191,245,341],"spaceborne":[37],"optical":[38,98,320],"images":[39],"(SDSOI).":[40],"Although":[41],"advantages":[42],"synthetic-aperture":[44],"radar":[45],"(SAR)":[46],"result":[47],"that":[49,326],"most":[50,221],"current":[52],"approaches":[55,108],"are":[56,263],"based":[57,151,207],"SAR":[59,63,72],"images,":[60],"disadvantages":[61],"still":[64],"exist,":[65],"limited":[69],"number":[70,87],"sensors,":[73,99],"relatively":[75,81],"long":[76],"revisit":[77],"cycle,":[78],"lower":[82],"resolution.":[83],"With":[84],"increasing":[86],"resulting":[91],"improvement":[92],"continuous":[94],"coverage":[95],"SDSOI":[100,149,229,312],"can":[101],"partly":[102],"overcome":[103],"shortcomings":[105],"SAR-based":[107],"should":[110],"be":[111],"investigated":[112],"to":[113,174,189,213,219,297],"help":[114],"satisfy":[115],"requirements":[117],"real-time":[119],"monitoring.":[121],"In":[122],"SDSOI,":[123],"several":[124],"factors":[125],"clouds,":[128],"ocean":[129],"waves,":[130],"small":[132],"islands":[133],"affect":[134],"performance":[136],"detection.":[139],"proposes":[142],"novel":[144,202],"hierarchical":[145,204],"complete":[146,226],"operational":[148,228],"approach":[150,206,236,328],"shape":[153,170,283],"texture":[155,285,289],"features,":[156,286],"which":[157],"considered":[159],"sequential":[161],"coarse-to-fine":[162],"elimination":[163],"process":[164],"false":[166,177,222],"alarms.":[167,223],"First,":[168],"simple":[169],"analysis":[171],"adopted":[173],"eliminate":[175],"evident":[176],"candidates":[178,192,246],"generated":[179],"by":[180,247,266,319],"image":[181,316],"segmentation":[182],"global":[184],"local":[186,292],"information":[187],"extract":[190],"missing":[194],"alarms":[195],"low":[197],"possible.":[199],"Second,":[200],"semisupervised":[203,276],"classification":[205],"various":[209],"features":[210],"presented":[212],"distinguish":[214],"between":[215,333],"ships":[216,334],"nonships":[218],"remove":[220],"Besides":[224],"approach,":[230],"other":[232],"contributions":[233],"our":[235,327],"include":[237],"following":[239],"three":[240],"aspects:":[241],"1)":[242],"it":[243],"classifies":[244],"using":[248],"their":[249,271],"class":[250],"probability":[251],"distributions":[252],"rather":[253],"than":[254],"direct":[256],"extracted":[257],"features;":[258],"2)":[259],"relevant":[261],"classes":[262],"automatically":[264],"built":[265],"samples\u2019":[268],"appearances":[269],"feature":[272,304,307],"attribute":[273],"mode;":[277],"3)":[279],"besides":[280],"commonly":[281],"used":[282],"new":[288],"operator,":[290],"i.e.,":[291],"multiple":[293,323],"patterns,":[294],"introduced":[296],"enhance":[298],"representation":[300],"ability":[301],"set":[305,317],"extraction.":[308],"Experimental":[309],"results":[310],"large":[315],"captured":[318],"sensors":[321],"satellites":[324],"show":[325],"effective":[330],"distinguishing":[332],"nonships,":[336],"obtains":[338],"satisfactory":[340],"performance.":[343]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":35},{"year":2021,"cited_by_count":37},{"year":2020,"cited_by_count":35},{"year":2019,"cited_by_count":39},{"year":2018,"cited_by_count":33},{"year":2017,"cited_by_count":41},{"year":2016,"cited_by_count":32},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":16},{"year":2013,"cited_by_count":17},{"year":2012,"cited_by_count":15}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}