{"id":"https://openalex.org/W2901242031","doi":"https://doi.org/10.1109/lgrs.2018.2878106","title":"Saliency-Driven Oil Tank Detection Based on Multidimensional Feature Vector Clustering for SAR Images","display_name":"Saliency-Driven Oil Tank Detection Based on Multidimensional Feature Vector Clustering for SAR Images","publication_year":2018,"publication_date":"2018-11-12","ids":{"openalex":"https://openalex.org/W2901242031","doi":"https://doi.org/10.1109/lgrs.2018.2878106","mag":"2901242031"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2878106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2878106","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5087779583","display_name":"Libao Zhang","orcid":"https://orcid.org/0000-0002-0888-2330"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Libao Zhang","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101524712","display_name":"Shiyi Wang","orcid":"https://orcid.org/0009-0000-4716-8909"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyi Wang","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102848466","display_name":"Congyang Liu","orcid":"https://orcid.org/0009-0004-9431-4445"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congyang Liu","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100371992","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-0981-935X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087779583"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":1.5669,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.8796435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"16","issue":"4","first_page":"653","last_page":"657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9976000189781189,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9976000189781189,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9930999875068665,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9814000129699707,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7279350161552429},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7191917896270752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7054325938224792},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.7016978859901428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.659008800983429},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6401889324188232},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5253362655639648},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5060240626335144},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47476768493652344},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41899383068084717},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41333329677581787},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.30780667066574097}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7279350161552429},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7191917896270752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7054325938224792},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7016978859901428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659008800983429},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6401889324188232},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5253362655639648},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5060240626335144},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47476768493652344},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41899383068084717},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41333329677581787},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.30780667066574097},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2018.2878106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2878106","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3872703625","display_name":null,"funder_award_id":"41771407","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4899743872","display_name":null,"funder_award_id":"4162033","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G5547827018","display_name":null,"funder_award_id":"61571050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W198035414","https://openalex.org/W1923947552","https://openalex.org/W1963816830","https://openalex.org/W1974083340","https://openalex.org/W1978904636","https://openalex.org/W2002631607","https://openalex.org/W2003086251","https://openalex.org/W2041719651","https://openalex.org/W2052474702","https://openalex.org/W2055093645","https://openalex.org/W2096982104","https://openalex.org/W2097290407","https://openalex.org/W2112328181","https://openalex.org/W2116040950","https://openalex.org/W2118246710","https://openalex.org/W2162633365","https://openalex.org/W2241675565","https://openalex.org/W2331427273","https://openalex.org/W2342927252","https://openalex.org/W2789356183","https://openalex.org/W6608026972","https://openalex.org/W6663291406"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W2035264131","https://openalex.org/W1679012645","https://openalex.org/W3036468168","https://openalex.org/W2070318884","https://openalex.org/W2386029220"],"abstract_inverted_index":{"A":[0],"novel":[1],"saliency-driven":[2],"oil":[3,49,125,156],"tank":[4],"detection":[5],"method":[6,149],"based":[7],"on":[8],"multidimensional":[9],"feature":[10,81],"vector":[11],"clustering":[12,78],"(MFVC)":[13],"is":[14,37,45,75,96],"proposed":[15],"in":[16,133,153],"this":[17],"letter":[18],"for":[19,39,77,137,141],"synthetic":[20],"aperture":[21],"radar":[22],"(SAR)":[23],"images.":[24],"There":[25],"are":[26,127,131],"three":[27],"major":[28],"contributions:":[29],"1)":[30],"a":[31,67],"specially":[32],"designed":[33],"MFVC":[34,148],"method,":[35],"which":[36],"suitable":[38],"SAR":[40],"images":[41],"without":[42],"true":[43],"colors,":[44],"employed":[46,76],"to":[47,83,98,104,113],"detect":[48],"tanks":[50,126,157],"roughly":[51],"by":[52],"saliency":[53,86,138],"analysis.":[54],"Five":[55],"important":[56],"complementary":[57],"features,":[58],"including":[59],"intensity,":[60],"texture,":[61],"structure,":[62],"and":[63,70,110,119,140,158,161],"2-D":[64],"coordinates,":[65],"form":[66],"5-D":[68,80],"vector,":[69],"then":[71],"an":[72],"unsupervised":[73],"strategy":[74],"the":[79,85,92,99,114,120,147,163],"vectors":[82],"acquire":[84],"map;":[87],"2)":[88],"For":[89],"accurate":[90,159],"location,":[91],"shape":[93],"limit":[94],"coefficient":[95],"added":[97],"original":[100],"active":[101],"contour":[102],"model":[103],"extract":[105],"contours":[106],"of":[107,116,124],"top":[108],"surfaces;":[109],"3)":[111],"according":[112],"relations":[115],"top,":[117],"bottom,":[118],"brightest":[121],"arch,":[122],"bottoms":[123],"computed":[128],"precisely.":[129],"Experiments":[130],"conducted":[132],"two":[134],"aspects:":[135],"evaluation":[136],"analysis,":[139],"bottom":[142],"location.":[143],"Results":[144],"show":[145],"that":[146],"outperforms":[150],"competing":[151],"methods":[152],"maintaining":[154],"complete":[155],"boundaries,":[160],"removing":[162],"background":[164],"clutter":[165],"as":[166,168],"much":[167],"possible.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
