{"id":"https://openalex.org/W4286543806","doi":"https://doi.org/10.1109/access.2022.3192967","title":"Fuzzy Active Contour Model With Markov Random Field for Change Detection","display_name":"Fuzzy Active Contour Model With Markov Random Field for Change Detection","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4286543806","doi":"https://doi.org/10.1109/access.2022.3192967"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3192967","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3192967","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09834928.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09834928.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038907917","display_name":"Fei Xie","orcid":"https://orcid.org/0000-0003-1867-7194"},"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"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Xie","raw_affiliation_strings":["School of AOAIR, Xidian University, Xi’an, China","an, China","Northwestern Polytechnical University, Xi&#x2019"],"raw_orcid":"https://orcid.org/0000-0003-1867-7194","affiliations":[{"raw_affiliation_string":"School of AOAIR, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"Northwestern Polytechnical University, Xi&#x2019","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011815317","display_name":"Wenyuan Qiao","orcid":"https://orcid.org/0000-0002-7356-2595"},"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":"Wenyuan Qiao","raw_affiliation_strings":["School of AOAIR, Xidian University, Xi’an, China","an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Electronic Engineering, Xidian University, Xi&#x2019"],"raw_orcid":"https://orcid.org/0000-0002-7356-2595","affiliations":[{"raw_affiliation_string":"School of AOAIR, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Electronic Engineering, Xidian University, Xi&#x2019","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027989310","display_name":"Tianqi Gao","orcid":"https://orcid.org/0000-0001-7367-2236"},"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":"Tianqi Gao","raw_affiliation_strings":["School of AOAIR, Xidian University, Xi’an, China","an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Electronic Engineering, Xidian University, Xi&#x2019"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of AOAIR, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Electronic Engineering, Xidian University, Xi&#x2019","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007666702","display_name":"Qun Duan","orcid":"https://orcid.org/0000-0003-0015-1565"},"institutions":[{"id":"https://openalex.org/I4210118093","display_name":"Xianyang Normal University","ror":"https://ror.org/01r45yt97","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118093"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Duan","raw_affiliation_strings":["School of Computer Science, Xianyang Normal University, Xianyang, China","School of Computer Science, Xianyang Normal University, Xianyang, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Xianyang Normal University, Xianyang, China","institution_ids":["https://openalex.org/I4210118093"]},{"raw_affiliation_string":"School of Computer Science, Xianyang Normal University, Xianyang, Shaanxi, China","institution_ids":["https://openalex.org/I4210118093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052962450","display_name":"Tianshi Luo","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":"Tianshi Luo","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Electronic Engineering, Xidian University, Xi’an, China","an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Electronic Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100348617","display_name":"Hao Li","orcid":"https://orcid.org/0000-0002-6294-6761"},"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":"Hao Li","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Electronic Engineering, Xidian University, Xi’an, China","an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Electronic Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.243,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.45861894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"77406","last_page":"77417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.991100013256073,"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":0.991100013256073,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9836999773979187,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9818999767303467,"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/markov-random-field","display_name":"Markov random field","score":0.8566386103630066},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.8022453784942627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.707306981086731},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6898522973060608},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.6610239744186401},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6484568119049072},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6082171201705933},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.5473979115486145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5193180441856384},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.501394510269165},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47186392545700073},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.36003386974334717}],"concepts":[{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.8566386103630066},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.8022453784942627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.707306981086731},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6898522973060608},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.6610239744186401},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6484568119049072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6082171201705933},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.5473979115486145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5193180441856384},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.501394510269165},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47186392545700073},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.36003386974334717}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3192967","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3192967","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09834928.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5b507f7c2c384d6ea4385578c3d4d3e5","is_oa":true,"landing_page_url":"https://doaj.org/article/5b507f7c2c384d6ea4385578c3d4d3e5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 77406-77417 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3192967","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3192967","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09834928.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[{"id":"https://openalex.org/G1692585163","display_name":null,"funder_award_id":"2021QCYRC4-49","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3219645748","display_name":null,"funder_award_id":"2021ZDLGY02-06","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G4083118349","display_name":null,"funder_award_id":"61973249","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4252064962","display_name":null,"funder_award_id":"19JC041","funder_id":"https://openalex.org/F4320335467","funder_display_name":"Natural Science Foundation of Shaanxi Provincial Department of Education"},{"id":"https://openalex.org/G4824426807","display_name":null,"funder_award_id":"2021ZDLGY02-06","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/F4320335467","display_name":"Natural Science Foundation of Shaanxi Provincial Department of Education","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4286543806.pdf","grobid_xml":"https://content.openalex.org/works/W4286543806.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1964069486","https://openalex.org/W1965126626","https://openalex.org/W1976748909","https://openalex.org/W2001536813","https://openalex.org/W2015619014","https://openalex.org/W2028087711","https://openalex.org/W2028151808","https://openalex.org/W2043734872","https://openalex.org/W2067426630","https://openalex.org/W2077306300","https://openalex.org/W2077646121","https://openalex.org/W2087828778","https://openalex.org/W2098152234","https://openalex.org/W2107588225","https://openalex.org/W2110519070","https://openalex.org/W2112891016","https://openalex.org/W2114487471","https://openalex.org/W2115664739","https://openalex.org/W2116040950","https://openalex.org/W2123424214","https://openalex.org/W2125297725","https://openalex.org/W2134820502","https://openalex.org/W2134969826","https://openalex.org/W2135810471","https://openalex.org/W2143384667","https://openalex.org/W2146954163","https://openalex.org/W2146988418","https://openalex.org/W2151137405","https://openalex.org/W2155343350","https://openalex.org/W2163084005","https://openalex.org/W2164800951","https://openalex.org/W2165012164","https://openalex.org/W2165351422","https://openalex.org/W2170140722","https://openalex.org/W2216748439","https://openalex.org/W2345053660","https://openalex.org/W2403214230","https://openalex.org/W2771635595","https://openalex.org/W2790466680","https://openalex.org/W2897840973","https://openalex.org/W2910240920","https://openalex.org/W2911008619","https://openalex.org/W2962148872","https://openalex.org/W2962812282","https://openalex.org/W2966349510","https://openalex.org/W3007927214","https://openalex.org/W3023631971","https://openalex.org/W3032997645","https://openalex.org/W3033361357","https://openalex.org/W3038044614","https://openalex.org/W3082365061","https://openalex.org/W3100231084","https://openalex.org/W3105698493","https://openalex.org/W3112764892","https://openalex.org/W3119609454","https://openalex.org/W3124933334","https://openalex.org/W4230684562"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2113052720","https://openalex.org/W2799624451","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2016481886"],"abstract_inverted_index":{"The":[0],"traditional":[1],"active":[2,32,72,108,140],"contour":[3,33,73,109,141],"models":[4],"are":[5],"sensitive":[6],"to":[7,35,51,93,99,113,145],"the":[8,12,21,30,37,44,53,59,70,77,85,90,95,100,104,114,118,136,148],"speckle":[9,115],"noise":[10,116],"in":[11,117,155],"synthetic":[13],"aperture":[14],"radar":[15],"(SAR)":[16],"images.":[17,42],"In":[18,43,64],"this":[19],"paper,":[20],"Markov":[22],"random":[23],"field":[24],"(MRF)":[25],"theory":[26],"is":[27,49,111,143],"incorporated":[28],"into":[29,69],"fuzzy":[31,71,96,107,139],"model":[34,74,110,142],"detect":[36],"changes":[38],"of":[39,89,102],"multitemporal":[40],"SAR":[41,119,131],"proposed":[45,105,137],"method,":[46],"neighboring":[47],"information":[48],"considered":[50],"modify":[52],"pointwise":[54],"prior":[55],"probability":[56],"for":[57],"exploiting":[58],"mutual":[60],"and":[61,75,121,151],"spatial":[62],"information.":[63],"addition,":[65],"we":[66,83],"incorporate":[67],"MRF":[68],"get":[76],"resulting":[78],"MRF-based":[79,106,138],"energy":[80,91],"function.":[81],"Finally,":[82],"drive":[84],"associated":[86],"first":[87],"variation":[88],"function":[92],"compute":[94],"membership.":[97],"Due":[98],"introduction":[101],"MRF,":[103],"robust":[112],"images":[120],"can":[122],"achieve":[123],"accurate":[124],"change":[125,159],"detection":[126,160],"results.":[127],"Experiments":[128],"on":[129],"four":[130],"image":[132,150],"datasets":[133],"demonstrate":[134],"that":[135],"able":[144],"accurately":[146],"segment":[147],"difference":[149],"has":[152],"better":[153],"performance":[154],"comparison":[156],"with":[157],"other":[158],"techniques.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}