{"id":"https://openalex.org/W2791978536","doi":"https://doi.org/10.1109/tip.2018.2806201","title":"A Multi-Region Segmentation Method for SAR Images Based on the Multi-Texture Model With Level Sets","display_name":"A Multi-Region Segmentation Method for SAR Images Based on the Multi-Texture Model With Level Sets","publication_year":2018,"publication_date":"2018-02-14","ids":{"openalex":"https://openalex.org/W2791978536","doi":"https://doi.org/10.1109/tip.2018.2806201","mag":"2791978536","pmid":"https://pubmed.ncbi.nlm.nih.gov/29994632"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2806201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2806201","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5015831964","display_name":"Shiyu Luo","orcid":"https://orcid.org/0000-0001-5410-1454"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiyu Luo","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017195934","display_name":"Ling Tong","orcid":"https://orcid.org/0000-0003-1883-7792"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Tong","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100703983","display_name":"Yan Chen","orcid":"https://orcid.org/0009-0005-0674-2675"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Chen","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015831964"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":3.1337,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.94060708,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"27","issue":"5","first_page":"2560","last_page":"2574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9984999895095825,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9984999895095825,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9817000031471252,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9764000177383423,"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":0.804822564125061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7194668054580688},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.65931236743927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6119190454483032},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.583256185054779},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5807955861091614},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5706166625022888},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.5455845594406128},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5417613983154297},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5377277731895447},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.5357728600502014},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49305078387260437},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.479455828666687},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.46683230996131897},{"id":"https://openalex.org/keywords/energy-functional","display_name":"Energy functional","score":0.4653385877609253},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4648842513561249},{"id":"https://openalex.org/keywords/multiplicative-noise","display_name":"Multiplicative noise","score":0.449642539024353},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.44136354327201843},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4132216274738312},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2624582350254059},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.18772903084754944},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.07137757539749146}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.804822564125061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7194668054580688},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.65931236743927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6119190454483032},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.583256185054779},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5807955861091614},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5706166625022888},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.5455845594406128},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5417613983154297},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5377277731895447},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.5357728600502014},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49305078387260437},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.479455828666687},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.46683230996131897},{"id":"https://openalex.org/C191640071","wikidata":"https://www.wikidata.org/wiki/Q5377056","display_name":"Energy functional","level":2,"score":0.4653385877609253},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4648842513561249},{"id":"https://openalex.org/C18015164","wikidata":"https://www.wikidata.org/wiki/Q6935000","display_name":"Multiplicative noise","level":5,"score":0.449642539024353},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.44136354327201843},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4132216274738312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2624582350254059},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.18772903084754944},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.07137757539749146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2018.2806201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2806201","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:29994632","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29994632","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1170030750","display_name":null,"funder_award_id":"41571333","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8291083586","display_name":null,"funder_award_id":"41371340","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W249233990","https://openalex.org/W939280201","https://openalex.org/W1585413888","https://openalex.org/W1602107991","https://openalex.org/W1648628932","https://openalex.org/W1973066300","https://openalex.org/W1974141535","https://openalex.org/W1976748909","https://openalex.org/W1979968728","https://openalex.org/W2001254200","https://openalex.org/W2022261649","https://openalex.org/W2027350727","https://openalex.org/W2032865335","https://openalex.org/W2033903783","https://openalex.org/W2046245205","https://openalex.org/W2048611331","https://openalex.org/W2069512342","https://openalex.org/W2076063977","https://openalex.org/W2085845644","https://openalex.org/W2086921140","https://openalex.org/W2098152234","https://openalex.org/W2100255334","https://openalex.org/W2101178628","https://openalex.org/W2101560656","https://openalex.org/W2104095591","https://openalex.org/W2114487471","https://openalex.org/W2115922709","https://openalex.org/W2116040950","https://openalex.org/W2119293286","https://openalex.org/W2120561279","https://openalex.org/W2122184585","https://openalex.org/W2126176832","https://openalex.org/W2127866174","https://openalex.org/W2130706954","https://openalex.org/W2131910503","https://openalex.org/W2132363464","https://openalex.org/W2134478556","https://openalex.org/W2137993841","https://openalex.org/W2138219528","https://openalex.org/W2140022209","https://openalex.org/W2142572935","https://openalex.org/W2144494233","https://openalex.org/W2144615653","https://openalex.org/W2145803225","https://openalex.org/W2146123543","https://openalex.org/W2146448565","https://openalex.org/W2149184914","https://openalex.org/W2161237731","https://openalex.org/W2165734775","https://openalex.org/W2167595718","https://openalex.org/W2169068726","https://openalex.org/W2171817982","https://openalex.org/W2344048381","https://openalex.org/W2942228371","https://openalex.org/W3211330693","https://openalex.org/W4210360983","https://openalex.org/W4243529460","https://openalex.org/W6634876549","https://openalex.org/W6677607857","https://openalex.org/W6685190646"],"related_works":["https://openalex.org/W2367921179","https://openalex.org/W2116690004","https://openalex.org/W2373659438","https://openalex.org/W2095049733","https://openalex.org/W2132363464","https://openalex.org/W2990145420","https://openalex.org/W2076397479","https://openalex.org/W2161232058","https://openalex.org/W2149135821","https://openalex.org/W2391867215"],"abstract_inverted_index":{"Synthetic":[0],"Aperture":[1],"Radar":[2],"(SAR)":[3],"image":[4,58,110],"segmentation":[5,21,30],"is":[6,41,87,95,125],"a":[7,28,108],"difficult":[8],"problem":[9],"due":[10],"to":[11,89,114],"the":[12,34,51,69,73,79,98,122,153],"presence":[13],"of":[14,75,81,117,121],"strong":[15],"multiplicative":[16],"noise.":[17],"To":[18,55],"attain":[19],"multi-region":[20],"for":[22],"SAR":[23,109,131,138],"images,":[24],"this":[25],"paper":[26],"presents":[27],"parametric":[29],"method":[31,124],"based":[32],"on":[33],"multi-texture":[35],"model":[36,107],"with":[37,112],"level":[38,45,76],"sets.":[39],"Segmentation":[40],"achieved":[42],"by":[43,97,127,152],"solving":[44],"set":[46,77],"functions":[47],"obtained":[48,96],"from":[49],"minimizing":[50],"proposed":[52,123,154],"energy":[53,70],"functional.":[54,71],"fully":[56],"utilize":[57],"information,":[59],"edge":[60,91],"feature":[61],"and":[62],"region":[63],"information":[64,94],"are":[65],"both":[66],"included":[67],"in":[68],"For":[72],"need":[74],"evolution,":[78],"Ratio":[80],"Exponentially":[82],"Weighted":[83],"Averages":[84],"(ROEWA)":[85],"operator":[86],"modified":[88],"obtain":[90],"feature.":[92],"Region":[93],"Improved":[99],"Edgeworth":[100],"Series":[101],"Expansion":[102],"(IESE),":[103],"which":[104],"can":[105,140],"adaptively":[106],"distribution":[111],"respect":[113],"various":[115],"kinds":[116],"regions.":[118],"The":[119,133],"performance":[120],"verified":[126],"three":[128],"high":[129],"resolution":[130],"images.":[132],"experimental":[134],"results":[135],"demonstrate":[136],"that":[137],"images":[139],"be":[141],"segmented":[142],"into":[143],"multiple":[144],"regions":[145],"accurately":[146],"without":[147],"any":[148],"speckle":[149],"pre-processing":[150],"steps":[151],"method.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}