{"id":"https://openalex.org/W2400501577","doi":"https://doi.org/10.1109/icassp.2016.7472006","title":"Ship wake detection for SAR images with complex backgrounds based on morphological dictionary learning","display_name":"Ship wake detection for SAR images with complex backgrounds based on morphological dictionary learning","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2400501577","doi":"https://doi.org/10.1109/icassp.2016.7472006","mag":"2400501577"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5055940452","display_name":"Guozheng Yang","orcid":"https://orcid.org/0000-0001-7025-926X"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guozheng Yang","raw_affiliation_strings":["Beijing Institute of Remote Sensing Information, China","Department of Electronic Engineering, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Remote Sensing Information, China","institution_ids":["https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101579038","display_name":"Jing Yu","orcid":"https://orcid.org/0000-0002-2854-8620"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yu","raw_affiliation_strings":["College of Computer Science and Technology, Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075048365","display_name":"Chuangbai Xiao","orcid":"https://orcid.org/0000-0002-4676-2479"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuangbai Xiao","raw_affiliation_strings":["College of Computer Science and Technology, Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024318974","display_name":"Weidong Sun","orcid":"https://orcid.org/0000-0002-8931-8407"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Sun","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1896","last_page":"1900"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9958999752998352,"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":0.9958999752998352,"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/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9952999949455261,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.7278458476066589},{"id":"https://openalex.org/keywords/wake","display_name":"Wake","score":0.7262424230575562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7177429795265198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6420336365699768},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5087364315986633},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4840640127658844},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47295352816581726},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4282490611076355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4226433336734772},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08828786015510559},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05616447329521179}],"concepts":[{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.7278458476066589},{"id":"https://openalex.org/C48939323","wikidata":"https://www.wikidata.org/wiki/Q294879","display_name":"Wake","level":2,"score":0.7262424230575562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7177429795265198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6420336365699768},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5087364315986633},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4840640127658844},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47295352816581726},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4282490611076355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4226433336734772},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08828786015510559},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05616447329521179},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1981337995","https://openalex.org/W1988894509","https://openalex.org/W1994022528","https://openalex.org/W2010641531","https://openalex.org/W2012330712","https://openalex.org/W2112447569","https://openalex.org/W2128659236","https://openalex.org/W2157422502","https://openalex.org/W2160547390","https://openalex.org/W2208541107","https://openalex.org/W2258818894","https://openalex.org/W6676727762","https://openalex.org/W6692483049"],"related_works":["https://openalex.org/W2757285599","https://openalex.org/W2376025146","https://openalex.org/W161151693","https://openalex.org/W3195741387","https://openalex.org/W2314669870","https://openalex.org/W2883444180","https://openalex.org/W4381570180","https://openalex.org/W2955635855","https://openalex.org/W4324257240","https://openalex.org/W2379898265"],"abstract_inverted_index":{"The":[0,33],"ship":[1,35,75,93,104,121],"wake":[2,36,105],"detection":[3,37],"of":[4,18,39],"SAR":[5,40,84,137],"images":[6,41,138],"is":[7,86,117],"useful":[8],"not":[9],"only":[10],"in":[11,23,46,52,77,123,139],"estimating":[12],"the":[13,16,65,70,83,103,108,114,124,133],"speed":[14],"and":[15,69,95,107,112],"direction":[17],"moving":[19],"ships,":[20],"but":[21,49],"also":[22],"finding":[24],"small":[25],"ships":[26],"which":[27],"are":[28],"hard":[29],"to":[30,73,119],"be":[31],"detected.":[32],"traditional":[34,134],"methods":[38,135],"can":[42],"achieve":[43],"satisfactory":[44],"results":[45,128],"simple":[47],"backgrounds,":[48],"hardly":[50],"work":[51],"complex":[53,78,140],"backgrounds.":[54,79,141],"In":[55,80],"this":[56],"paper,":[57],"we":[58],"propose":[59],"a":[60,89,96],"novel":[61],"method":[62,131],"based":[63],"on":[64],"morphological":[66],"component":[67,91,99],"analysis":[68],"dictionary":[71,106],"learning":[72,102],"detect":[74],"wakes":[76,94,122],"our":[81,130],"method,":[82],"image":[85],"decomposed":[87],"into":[88],"cartoon":[90,125],"containing":[92],"sea-background":[97,109],"texture":[98,110],"by":[100],"adaptive-ly":[101],"dictionary;":[111],"then":[113],"shearlet":[115],"transform":[116],"used":[118],"enhance":[120],"component.":[126],"Experimental":[127],"show":[129],"outperforms":[132],"for":[136]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}