{"id":"https://openalex.org/W2242277090","doi":"https://doi.org/10.1109/fskd.2015.7382252","title":"SAR image segmentation by selected principal components and kernel graph cuts ensembles","display_name":"SAR image segmentation by selected principal components and kernel graph cuts ensembles","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2242277090","doi":"https://doi.org/10.1109/fskd.2015.7382252","mag":"2242277090"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2015.7382252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5101500886","display_name":"Dongdong Yang","orcid":"https://orcid.org/0000-0002-6970-0326"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Yang","raw_affiliation_strings":["Xi'an University of Technology, Xi'an, Shaanxi, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an University of Technology, Xi'an, Shaanxi, CN","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010752811","display_name":"Rong Fei","orcid":"https://orcid.org/0000-0003-1892-8192"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]},{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Fei","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an University of Technology, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473","https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101829092","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0003-0811-7492"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]},{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an University of Technology, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473","https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101436329","display_name":"Hui Yang","orcid":"https://orcid.org/0000-0002-6701-6766"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]},{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Yang","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an University of Technology, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473","https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1976","last_page":"1980"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9973999857902527,"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/T10052","display_name":"Medical Image Segmentation 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"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.6251851916313171},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6211583614349365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.610175609588623},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5934417843818665},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5862332582473755},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5774257779121399},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5421851277351379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4788253605365753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4706674814224243},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3329069912433624},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3075145483016968},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2316020131111145}],"concepts":[{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.6251851916313171},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6211583614349365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.610175609588623},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5934417843818665},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5862332582473755},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5774257779121399},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5421851277351379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4788253605365753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4706674814224243},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3329069912433624},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3075145483016968},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2316020131111145},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2015.7382252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16"},{"display_name":"Reduced inequalities","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1979822131","https://openalex.org/W1992314546","https://openalex.org/W2045095960","https://openalex.org/W2070813603","https://openalex.org/W2083114270","https://openalex.org/W2091867141","https://openalex.org/W2099590928","https://openalex.org/W2127802986","https://openalex.org/W2135758523","https://openalex.org/W2140886193","https://openalex.org/W2142916759","https://openalex.org/W2143381319","https://openalex.org/W2165012164","https://openalex.org/W2470311561","https://openalex.org/W4235169531","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2379488555","https://openalex.org/W2753886092","https://openalex.org/W2152632846","https://openalex.org/W1992961908","https://openalex.org/W2014683590","https://openalex.org/W3138125914","https://openalex.org/W2359742711","https://openalex.org/W2398887903","https://openalex.org/W2127229869","https://openalex.org/W2121506664"],"abstract_inverted_index":{"Graph":[0],"cuts":[1,83],"(GC)":[2],"have":[3],"become":[4],"one":[5],"of":[6,24,42,50,93,103,110,146,177,187],"the":[7,25,29,48,51,59,65,73,91,100,107,116,122,140,151,156,167,175,178,182,198],"most":[8],"important":[9],"schemes":[10],"in":[11,64,155,192,197],"image":[12,26,34,74],"segmentation.":[13],"Recently,":[14],"some":[15],"researches":[16],"tend":[17],"to":[18,57,71,114,138,165],"study":[19],"GC":[20,32],"and":[21,61,80,125],"kernel":[22,31,81],"mapping":[23],"data.":[27],"However,":[28],"existing":[30,66,183],"(KGC)":[33],"segmentation":[35,75],"not":[36,190],"only":[37,191],"suffers":[38,46],"from":[39,47],"different":[40,144],"types":[41],"noise,":[43,95],"but":[44,195],"also":[45,196],"settings":[49,145],"regularising":[52],"parameter,":[53],"which":[54,96],"is":[55,70,97,112,127,153],"used":[56],"balance":[58],"edge":[60],"region":[62],"terms":[63],"KGC.":[67],"This":[68],"letter":[69],"investigate":[72],"via":[76],"principal":[77,86,163],"component":[78],"analysis":[79],"graph":[82],"ensemble.":[84],"The":[85],"components":[87,164],"are":[88],"selected":[89,162],"by":[90,99,130,161],"strength":[92],"introduced":[94],"estimated":[98],"maximum":[101],"statistics":[102],"variation":[104],"coefficient.":[105],"Besides,":[106],"regularization":[108,123],"term":[109],"KGC":[111,135,152],"difficult":[113],"choose":[115],"appropriate":[117],"scaling":[118,147],"factor":[119],"value":[120],"for":[121],"term,":[124],"it":[126],"always":[128],"obtained":[129],"experience.":[131],"Here,":[132],"we":[133],"present":[134],"ensemble":[136],"strategy":[137],"combine":[139],"segmenting":[141],"results":[142],"under":[143],"parameter.":[148],"In":[149],"addition,":[150],"implemented":[154],"projected":[157],"lower":[158],"dimensional":[159],"subspace":[160],"remove":[166],"noise":[168],"element.":[169],"Experiments":[170],"on":[171],"SAR":[172],"images":[173],"indicate":[174],"advantages":[176],"proposed":[179],"algorithm":[180],"over":[181],"KGC,":[184],"two":[185],"variants":[186],"fuzzy":[188],"c-means":[189],"class":[193],"completeness":[194],"boundary":[199],"discrimination.":[200]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}