{"id":"https://openalex.org/W4214610631","doi":"https://doi.org/10.3390/rs14051117","title":"Adaptive Feature Weights Based Double-Layer Multi-Objective Method for SAR Image Segmentation","display_name":"Adaptive Feature Weights Based Double-Layer Multi-Objective Method for SAR Image Segmentation","publication_year":2022,"publication_date":"2022-02-24","ids":{"openalex":"https://openalex.org/W4214610631","doi":"https://doi.org/10.3390/rs14051117"},"language":"en","primary_location":{"id":"doi:10.3390/rs14051117","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14051117","pdf_url":"https://www.mdpi.com/2072-4292/14/5/1117/pdf?version=1646028877","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/5/1117/pdf?version=1646028877","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022334584","display_name":"Ruochen Liu","orcid":"https://orcid.org/0000-0002-0502-4074"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruochen Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, Xidian University, Xi\u2019an 710071, China","Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013271878","display_name":"Minlei Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minlei Xue","raw_affiliation_strings":["Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, Xidian University, Xi\u2019an 710071, China","Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059962183","display_name":"Haoyuan Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyuan Lv","raw_affiliation_strings":["Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, Xidian University, Xi\u2019an 710071, China","Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception, Image Understanding of Ministry of Education, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022334584"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03585063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"5","first_page":"1117","last_page":"1117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.979200005531311,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6916956901550293},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6747750043869019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6535582542419434},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6457447409629822},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5931485891342163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5896039605140686},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5620321035385132},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5492477416992188},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5487287640571594},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.48565924167633057},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4409027099609375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36666327714920044}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6916956901550293},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6747750043869019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6535582542419434},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6457447409629822},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5931485891342163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5896039605140686},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5620321035385132},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5492477416992188},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5487287640571594},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.48565924167633057},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4409027099609375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36666327714920044},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":3,"locations":[{"id":"doi:10.3390/rs14051117","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14051117","pdf_url":"https://www.mdpi.com/2072-4292/14/5/1117/pdf?version=1646028877","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2f5afa483c474e75a2279c65927a1575","is_oa":true,"landing_page_url":"https://doaj.org/article/2f5afa483c474e75a2279c65927a1575","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 5, p 1117 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/5/1117/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14051117","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14051117","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14051117","pdf_url":"https://www.mdpi.com/2072-4292/14/5/1117/pdf?version=1646028877","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G240101957","display_name":null,"funder_award_id":"61876141","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3043002955","display_name":null,"funder_award_id":"61876141 and 61373111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7679670667","display_name":null,"funder_award_id":"61373111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8208342437","display_name":null,"funder_award_id":"1 and","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214610631.pdf","grobid_xml":"https://content.openalex.org/works/W4214610631.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W343066586","https://openalex.org/W1480428252","https://openalex.org/W1523794535","https://openalex.org/W1589895371","https://openalex.org/W1595159159","https://openalex.org/W1607203124","https://openalex.org/W1910088326","https://openalex.org/W1925555158","https://openalex.org/W1983753875","https://openalex.org/W1992147426","https://openalex.org/W1993589337","https://openalex.org/W1995450389","https://openalex.org/W1996747841","https://openalex.org/W2006611586","https://openalex.org/W2008060465","https://openalex.org/W2008185823","https://openalex.org/W2017745767","https://openalex.org/W2027284530","https://openalex.org/W2039063696","https://openalex.org/W2041078798","https://openalex.org/W2048578702","https://openalex.org/W2049299219","https://openalex.org/W2083114270","https://openalex.org/W2089731186","https://openalex.org/W2096752767","https://openalex.org/W2108031918","https://openalex.org/W2108859253","https://openalex.org/W2115242586","https://openalex.org/W2116983796","https://openalex.org/W2120223913","https://openalex.org/W2126105956","https://openalex.org/W2131435419","https://openalex.org/W2132984323","https://openalex.org/W2143381319","https://openalex.org/W2143416511","https://openalex.org/W2144295331","https://openalex.org/W2155765190","https://openalex.org/W2156194072","https://openalex.org/W2164800951","https://openalex.org/W2165012164","https://openalex.org/W2203649114","https://openalex.org/W2290265371","https://openalex.org/W2476964288","https://openalex.org/W2529506056","https://openalex.org/W2554820184","https://openalex.org/W2771450668","https://openalex.org/W2793607189","https://openalex.org/W2802427749","https://openalex.org/W2943170680","https://openalex.org/W2970543709","https://openalex.org/W3010563646","https://openalex.org/W3033361357","https://openalex.org/W3095311016","https://openalex.org/W3105698493","https://openalex.org/W3114780996","https://openalex.org/W3134296290","https://openalex.org/W3173005423","https://openalex.org/W4251905026","https://openalex.org/W6631235637","https://openalex.org/W6636334598"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2394279717","https://openalex.org/W2364730859","https://openalex.org/W2551987074","https://openalex.org/W2386644571","https://openalex.org/W2185902295","https://openalex.org/W2055202857","https://openalex.org/W2103507220","https://openalex.org/W2372421320","https://openalex.org/W2945274617"],"abstract_inverted_index":{"The":[0,80,148],"recently":[1],"proposed":[2,81,161],"multi-objective":[3,12,72,124],"clustering":[4,26,93,122,125],"methods":[5,32],"convert":[6],"the":[7,36,46,49,61,96,103,121,133,160],"segmentation":[8,42,77,144,149,169],"problem":[9,14],"to":[10,22,34,59,109],"a":[11,87,92,138],"optimization":[13],"by":[15],"extracting":[16],"multiple":[17],"features":[18,40],"from":[19],"an":[20,66,107],"image":[21,62,76,108],"be":[23,110],"segmented":[24,111],"as":[25],"data.":[27],"However,":[28],"most":[29],"of":[30,38,106,140],"these":[31],"fail":[33],"consider":[35],"impacts":[37],"different":[39],"on":[41,132,151],"results":[43,150],"when":[44],"calculating":[45],"similarity":[47],"using":[48],"Euclidean":[50],"distance.":[51],"In":[52,95,120],"this":[53],"paper,":[54],"feature":[55,68,105],"domination":[56],"is":[57,78,146,163],"defined":[58],"segment":[60],"efficiently,":[63],"and":[64,91,112,129,137,155],"then":[65],"adaptive":[67],"weights":[69],"based":[70,131],"double-layer":[71],"method":[73,82,162],"(AFWDLMO)":[74],"for":[75],"presented.":[79],"mainly":[83],"contains":[84],"two":[85],"layers:":[86],"weight":[88,97,116],"determination":[89,98],"layer":[90],"layer.":[94],"layer,":[99,123],"AFWDLMO":[100],"adaptively":[101],"identifies":[102],"dominant":[104],"specifies":[113],"its":[114],"optimal":[115,135],"through":[117],"differential":[118],"evolution.":[119],"functions":[126],"are":[127],"established":[128],"optimized":[130],"acquired":[134],"weight,":[136],"set":[139],"solutions":[141],"with":[142],"high":[143],"accuracy":[145],"found.":[147],"several":[152,166],"texture":[153],"images":[154,157],"SAR":[156],"show":[158],"that":[159],"better":[164],"than":[165],"existing":[167],"state-of-the-art":[168],"algorithms.":[170]},"counts_by_year":[],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}