{"id":"https://openalex.org/W3167403302","doi":"https://doi.org/10.1109/access.2021.3087206","title":"A Land Cover Change Detection Method Combing Spectral Values and Class Probabilities","display_name":"A Land Cover Change Detection Method Combing Spectral Values and Class Probabilities","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3167403302","doi":"https://doi.org/10.1109/access.2021.3087206","mag":"3167403302"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3087206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3087206","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09448145.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/ielx7/6287639/9312710/09448145.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055460928","display_name":"Huaqiao Xing","orcid":"https://orcid.org/0000-0002-8748-1729"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaqiao Xing","raw_affiliation_strings":["School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-8748-1729","affiliations":[{"raw_affiliation_string":"School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101858863","display_name":"Linye Zhu","orcid":"https://orcid.org/0000-0002-2125-6860"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linye Zhu","raw_affiliation_strings":["School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-2125-6860","affiliations":[{"raw_affiliation_string":"School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024722285","display_name":"Jingge Niu","orcid":"https://orcid.org/0000-0002-2213-3942"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingge Niu","raw_affiliation_strings":["School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-2213-3942","affiliations":[{"raw_affiliation_string":"School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052638417","display_name":"Bingyao Chen","orcid":"https://orcid.org/0000-0003-4604-4319"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingyao Chen","raw_affiliation_strings":["School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-4604-4319","affiliations":[{"raw_affiliation_string":"School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392346","display_name":"Wei Wang","orcid":"https://orcid.org/0009-0009-8596-8750"},"institutions":[{"id":"https://openalex.org/I4210115813","display_name":"China National Commission for Disaster Reduction","ror":"https://ror.org/029j8j127","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210115813"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["National Disaster Reduction Center of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Disaster Reduction Center of China, Beijing, China","institution_ids":["https://openalex.org/I4210115813"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058638373","display_name":"Dongyang Hou","orcid":"https://orcid.org/0000-0002-1156-9353"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyang Hou","raw_affiliation_strings":["School of Geosciences and Info Physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-1156-9353","affiliations":[{"raw_affiliation_string":"School of Geosciences and Info Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"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":1.7714,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86228575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"83727","last_page":"83739"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.996999979019165,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.857204258441925},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6567797064781189},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6428074240684509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6104650497436523},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46565133333206177},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.447234183549881},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42787665128707886},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4234107732772827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4090856909751892},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3733937442302704},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.3363514840602875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3059868812561035},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1854974925518036},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1353846788406372}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.857204258441925},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6567797064781189},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6428074240684509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6104650497436523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46565133333206177},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.447234183549881},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42787665128707886},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4234107732772827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4090856909751892},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3733937442302704},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.3363514840602875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3059868812561035},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1854974925518036},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1353846788406372},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3087206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3087206","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09448145.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:09ae2c55cd8040dd958fa15c6d044ccb","is_oa":true,"landing_page_url":"https://doaj.org/article/09ae2c55cd8040dd958fa15c6d044ccb","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 9, Pp 83727-83739 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3087206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3087206","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09448145.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":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.47999998927116394},{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G267595348","display_name":null,"funder_award_id":"KLSMNR-202105","funder_id":"https://openalex.org/F4320316090","funder_display_name":"Ministry of Natural Resources of the People's Republic of China"},{"id":"https://openalex.org/G4840590700","display_name":null,"funder_award_id":"XNBS1804","funder_id":"https://openalex.org/F4320324777","funder_display_name":"Shandong Jianzhu University"},{"id":"https://openalex.org/G5712532426","display_name":null,"funder_award_id":"41801308","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6544468730","display_name":null,"funder_award_id":"202105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7470917557","display_name":null,"funder_award_id":"20S01","funder_id":"https://openalex.org/F4320326938","funder_display_name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing"}],"funders":[{"id":"https://openalex.org/F4320316090","display_name":"Ministry of Natural Resources of the People's Republic of China","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324116","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17"},{"id":"https://openalex.org/F4320324777","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37"},{"id":"https://openalex.org/F4320326938","display_name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing","ror":"https://ror.org/02bpap860"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3167403302.pdf","grobid_xml":"https://content.openalex.org/works/W3167403302.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1964669384","https://openalex.org/W1970800786","https://openalex.org/W1975844073","https://openalex.org/W1991927948","https://openalex.org/W1994652972","https://openalex.org/W2010319424","https://openalex.org/W2025967950","https://openalex.org/W2029316659","https://openalex.org/W2036798369","https://openalex.org/W2079589766","https://openalex.org/W2082216132","https://openalex.org/W2083970667","https://openalex.org/W2085289201","https://openalex.org/W2120000263","https://openalex.org/W2131228247","https://openalex.org/W2133059825","https://openalex.org/W2134969826","https://openalex.org/W2157026765","https://openalex.org/W2160544350","https://openalex.org/W2161570034","https://openalex.org/W2167208453","https://openalex.org/W2274749644","https://openalex.org/W2582328766","https://openalex.org/W2589453516","https://openalex.org/W2735042947","https://openalex.org/W2741377155","https://openalex.org/W2759938573","https://openalex.org/W2764034829","https://openalex.org/W2782522152","https://openalex.org/W2789882114","https://openalex.org/W2790979755","https://openalex.org/W2793327769","https://openalex.org/W2898219846","https://openalex.org/W2924760056","https://openalex.org/W2951472911","https://openalex.org/W2962148872","https://openalex.org/W3004839151","https://openalex.org/W3005268655","https://openalex.org/W3008439211","https://openalex.org/W3025777132","https://openalex.org/W3088487567","https://openalex.org/W3127542860"],"related_works":["https://openalex.org/W2164995725","https://openalex.org/W2153381734","https://openalex.org/W2050072374","https://openalex.org/W3133615129","https://openalex.org/W2087854757","https://openalex.org/W2188959887","https://openalex.org/W2373152553","https://openalex.org/W2972049582","https://openalex.org/W4389201442","https://openalex.org/W2386169820"],"abstract_inverted_index":{"Land":[0,182],"cover":[1,50],"change":[2,30,56,95,109,191,208],"detection":[3,96,188,215],"plays":[4],"an":[5],"important":[6],"role":[7],"in":[8,206],"natural":[9],"disaster":[10],"monitoring,":[11],"tracking":[12],"urban":[13],"expansion,":[14],"and":[15,69,102,116,127,139,157,189,213],"many":[16],"social":[17],"benefit":[18],"areas.":[19,141],"The":[20,58,169,186,195],"spectral-based":[21],"direct":[22,61],"comparison":[23,62],"(SDC)":[24],"methods":[25,34,64,78],"are":[26,35,79],"commonly":[27],"used":[28],"for":[29,166],"detection,":[31,209],"but":[32,76],"such":[33],"vulnerable":[36],"to":[37],"the":[38,71,83,88,123,135,143,152,155,163,200,207,218],"influence":[39,72],"of":[40,55,73,154],"external":[41,74],"factors.":[42],"In":[43],"general,":[44],"land":[45,49,66],"changes":[46],"among":[47],"different":[48,53],"types":[51,192],"have":[52],"characters":[54],"magnitude.":[57],"class":[59,103,117,164],"probability-based":[60],"(CPDC)":[63],"consider":[65],"type":[67],"information":[68],"reduce":[70],"factors,":[75],"these":[77],"strongly":[80],"dependent":[81],"on":[82,113],"training":[84],"samples.":[85],"To":[86],"address":[87],"above":[89],"problems,":[90],"we":[91],"proposed":[92],"a":[93,107],"novel":[94],"method":[97,147,202],"that":[98,199],"integrates":[99],"spectral":[100,114],"values":[101,115],"probabilities":[104,118,165],"(SVCP).":[105],"First,":[106],"new":[108],"magnitude":[110],"map":[111],"based":[112],"is":[119,148,203],"constructed":[120],"by":[121,150,174],"using":[122,151],"maximum":[124],"interclass":[125],"variance":[126,153],"Gaussian":[128],"mixture":[129],"model":[130],"(GMM),":[131],"which":[132],"greatly":[133],"enhances":[134],"differentiation":[136],"between":[137],"changed":[138,156],"unchanged":[140,158],"Second,":[142],"Kapur":[144],"threshold":[145],"selection":[146],"improved":[149],"areas":[159],"as":[160,162],"well":[161],"adaptive":[167],"thresholding.":[168],"SVCP":[170,201],"approach":[171],"was":[172],"assessed":[173],"two":[175],"case":[176],"studies":[177],"from":[178],"Landsat":[179],"8":[180],"Operational":[181],"Imager":[183],"(OLI)":[184],"images.":[185],"\u201cchange/no-change\u201d":[187],"\u201cfrom-to\u201d":[190],"were":[193],"evaluated.":[194],"experimental":[196],"results":[197],"indicated":[198],"more":[204],"accurate":[205],"with":[210],"lower":[211],"false":[212],"missed":[214],"rates":[216],"than":[217],"traditional":[219],"methods.":[220]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
