{"id":"https://openalex.org/W2901876671","doi":"https://doi.org/10.1109/igarss.2018.8517794","title":"SAR Image Change Detection Based on Conditional Spatial and Kernel Fuzzy C-Means","display_name":"SAR Image Change Detection Based on Conditional Spatial and Kernel Fuzzy C-Means","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901876671","doi":"https://doi.org/10.1109/igarss.2018.8517794","mag":"2901876671"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8517794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","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/A5101735891","display_name":"Weitong Zhang","orcid":"https://orcid.org/0000-0003-1625-2870"},"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":"Weitong Zhang","raw_affiliation_strings":["Ministry of Education, Xidian University, Xi'an, Shanxi Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Xidian University, Xi'an, Shanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022537482","display_name":"Ailing Wen","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":"Ailing Wen","raw_affiliation_strings":["Ministry of Education, Xidian University, Xi'an, Shanxi Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Xidian University, Xi'an, Shanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054791684","display_name":"Ronghua Shang","orcid":"https://orcid.org/0000-0001-9124-696X"},"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":"Ronghua Shang","raw_affiliation_strings":["Ministry of Education, Xidian University, Xi'an, Shanxi Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Xidian University, Xi'an, Shanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"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":"Licheng Jiao","raw_affiliation_strings":["Ministry of Education, Xidian University, Xi'an, Shanxi Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Xidian University, Xi'an, Shanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4808","last_page":"4811"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9975000023841858,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.9724000096321106,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.634687066078186},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5952457785606384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5815465450286865},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48017802834510803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47390949726104736},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4716937839984894},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.4582897424697876},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.4539499282836914},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4517934322357178},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.44285038113594055},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.41478288173675537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4133462607860565},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3976587951183319},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3851982653141022},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.3044971227645874},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.20672383904457092}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.634687066078186},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5952457785606384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5815465450286865},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48017802834510803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47390949726104736},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4716937839984894},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.4582897424697876},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.4539499282836914},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4517934322357178},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.44285038113594055},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.41478288173675537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4133462607860565},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3976587951183319},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3851982653141022},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.3044971227645874},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.20672383904457092},{"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/igarss.2018.8517794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1965126626","https://openalex.org/W1971580912","https://openalex.org/W1992419399","https://openalex.org/W1994108784","https://openalex.org/W2070177605","https://openalex.org/W2126176832","https://openalex.org/W2186592150","https://openalex.org/W2344031149"],"related_works":["https://openalex.org/W1984421104","https://openalex.org/W2393746448","https://openalex.org/W2512565647","https://openalex.org/W2127229869","https://openalex.org/W2071590642","https://openalex.org/W2164869055","https://openalex.org/W2905418897","https://openalex.org/W2149803014","https://openalex.org/W2384322977","https://openalex.org/W2398887903"],"abstract_inverted_index":{"This":[0,119],"paper":[1,100],"puts":[2],"forward":[3],"a":[4],"new":[5,113],"method":[6,104,120],"for":[7],"SAR":[8],"image":[9,42],"change":[10,169],"detection":[11,170],"based":[12],"on":[13],"conditional":[14,102],"spatial":[15,103,125],"and":[16,32,110,116,124,148,164],"kernel":[17,26,49,73],"fuzzy":[18],"C-means":[19],"(CSKFCM).":[20],"In":[21,142],"CSKFCM":[22],"algorithm,":[23,82,163],"first,":[24],"the":[25,33,40,45,52,61,67,72,76,86,107,112,122,131,145,152,161],"function":[27,50],"is":[28,36,90],"introduced":[29],"into":[30],"FCM,":[31],"improved":[34],"FCM":[35,81,89],"used":[37],"to":[38,43,54,92,95,105,129],"cluster":[39,117],"difference":[41],"obtain":[44,111,137],"membership":[46,108,114,132,140],"matrix.":[47,141],"The":[48],"maps":[51],"dataset":[53],"high":[55],"dimensional":[56],"space":[57],"by":[58],"nonlinear":[59],"mapping,":[60],"same":[62],"time,":[63],"it":[64],"can":[65,84,136,155,165],"avoid":[66],"curse":[68],"of":[69,80,127],"dimensionality.":[70],"Meanwhile,":[71],"distance":[74,79],"replaces":[75],"non-robust":[77],"Euclidean":[78],"which":[83,135],"compensate":[85],"defect":[87],"that":[88,151],"sensitive":[91],"speckle":[93,157],"noise":[94,158],"some":[96],"extent.":[97],"Second,":[98],"this":[99,143],"uses":[101,121],"modify":[106,130],"matrix,":[109],"matrix":[115,133],"center.":[118],"neighbor":[123],"information":[126],"pixel":[128],"again,":[134],"more":[138,167],"accurate":[139,168],"paper,":[144],"principle":[146],"analysis":[147],"experiments":[149],"show":[150],"proposed":[153],"algorithm":[154],"suppress":[156],"better":[159],"than":[160],"contrast":[162],"get":[166],"results.":[171]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
