{"id":"https://openalex.org/W2900458999","doi":"https://doi.org/10.3390/rs10111809","title":"Multi-Scale Object Histogram Distance for LCCD Using Bi-Temporal Very-High-Resolution Remote Sensing Images","display_name":"Multi-Scale Object Histogram Distance for LCCD Using Bi-Temporal Very-High-Resolution Remote Sensing Images","publication_year":2018,"publication_date":"2018-11-15","ids":{"openalex":"https://openalex.org/W2900458999","doi":"https://doi.org/10.3390/rs10111809","mag":"2900458999"},"language":"en","primary_location":{"id":"doi:10.3390/rs10111809","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10111809","pdf_url":"https://www.mdpi.com/2072-4292/10/11/1809/pdf?version=1542275768","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/2072-4292/10/11/1809/pdf?version=1542275768","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047997045","display_name":"Zhiyong Lv","orcid":"https://orcid.org/0000-0003-2595-4794"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"ZhiYong Lv","raw_affiliation_strings":["Key Laboratory of Geospatial Big Data Mining and Application, Changsha 410081, China","School of Computer Science and Engineering, Xi\u2019An University of Technology, Xi\u2019an 710048, China","School of Computer Science and Engineering, Xi'An University of Technology, Xi'an 710048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geospatial Big Data Mining and Application, Changsha 410081, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Xi\u2019An University of Technology, Xi\u2019an 710048, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'An University of Technology, Xi'an 710048, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038753313","display_name":"Tongfei Liu","orcid":"https://orcid.org/0000-0003-1394-4724"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"TongFei Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Xi\u2019An University of Technology, Xi\u2019an 710048, China","School of Computer Science and Engineering, Xi'An University of Technology, Xi'an 710048, China"],"raw_orcid":"https://orcid.org/0000-0003-1394-4724","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi\u2019An University of Technology, Xi\u2019an 710048, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'An University of Technology, Xi'an 710048, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035508615","display_name":"J\u00f3n Atli Benediktsson","orcid":"https://orcid.org/0000-0003-0621-9647"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"J\u00f3n Atli Benediktsson","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik IS 107, Iceland"],"raw_orcid":"https://orcid.org/0000-0003-0621-9647","affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik IS 107, Iceland","institution_ids":["https://openalex.org/I165368041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036558091","display_name":"Tao Lei","orcid":"https://orcid.org/0000-0002-2104-9298"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Lei","raw_affiliation_strings":["School of Electronical and Information Engineering, Shaanxi University of Science and Technology, Xi\u2019an 710021, China","School of Electronical and Information Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronical and Information Engineering, Shaanxi University of Science and Technology, Xi\u2019an 710021, China","institution_ids":["https://openalex.org/I51622183"]},{"raw_affiliation_string":"School of Electronical and Information Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China","institution_ids":["https://openalex.org/I51622183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003925834","display_name":"Yiliang Wan","orcid":"https://orcid.org/0000-0001-7346-3442"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YiLiang Wan","raw_affiliation_strings":["College of Resources and Environmental Sciences, Hunan Normal University, Changsha 410081, China","Key Laboratory of Geospatial Big Data Mining and Application, Changsha 410081, China"],"raw_orcid":"https://orcid.org/0000-0001-7346-3442","affiliations":[{"raw_affiliation_string":"College of Resources and Environmental Sciences, Hunan Normal University, Changsha 410081, China","institution_ids":["https://openalex.org/I173759888"]},{"raw_affiliation_string":"Key Laboratory of Geospatial Big Data Mining and Application, Changsha 410081, China","institution_ids":["https://openalex.org/I4210096250"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036558091","https://openalex.org/A5047997045"],"corresponding_institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I51622183"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.0431,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89294887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"10","issue":"11","first_page":"1809","last_page":"1809"},"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":0.9984999895095825,"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":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.6704519391059875},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6598014831542969},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6509256958961487},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6335971355438232},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5552659034729004},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.53125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5109507441520691},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5094383358955383},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48254913091659546},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.479004830121994},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.4704921245574951},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.44139575958251953},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43658310174942017},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.4180002808570862},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25081348419189453},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17617663741111755},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13170462846755981},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.11355182528495789}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6704519391059875},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6598014831542969},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6509256958961487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6335971355438232},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5552659034729004},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.53125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5109507441520691},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5094383358955383},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48254913091659546},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.479004830121994},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.4704921245574951},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.44139575958251953},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43658310174942017},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.4180002808570862},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25081348419189453},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17617663741111755},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13170462846755981},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.11355182528495789},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs10111809","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10111809","pdf_url":"https://www.mdpi.com/2072-4292/10/11/1809/pdf?version=1542275768","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:cf9fe6f81862423c8bc2f960e2142371","is_oa":true,"landing_page_url":"https://doaj.org/article/cf9fe6f81862423c8bc2f960e2142371","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":"Remote Sensing, Vol 10, Iss 11, p 1809 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/11/1809/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10111809","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; Volume 10; Issue 11; Pages: 1809","raw_type":"Text"},{"id":"pmh:oai:opinvisindi.is:20.500.11815/1276","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.11815/1276","pdf_url":null,"source":{"id":"https://openalex.org/S4306401866","display_name":"Opin v\u00edsindi (Opin v\u00edsindi)","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/rs10111809","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10111809","pdf_url":"https://www.mdpi.com/2072-4292/10/11/1809/pdf?version=1542275768","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":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G1496460503","display_name":null,"funder_award_id":"61701396","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"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/W2900458999.pdf","grobid_xml":"https://content.openalex.org/works/W2900458999.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1964262728","https://openalex.org/W1965825034","https://openalex.org/W1967225430","https://openalex.org/W1970102256","https://openalex.org/W1973724465","https://openalex.org/W1984792953","https://openalex.org/W1998598901","https://openalex.org/W2010313500","https://openalex.org/W2029161185","https://openalex.org/W2036798369","https://openalex.org/W2044558111","https://openalex.org/W2055718260","https://openalex.org/W2067426630","https://openalex.org/W2083969383","https://openalex.org/W2087278589","https://openalex.org/W2103079830","https://openalex.org/W2117519593","https://openalex.org/W2119879130","https://openalex.org/W2124683448","https://openalex.org/W2133059825","https://openalex.org/W2137098511","https://openalex.org/W2140023211","https://openalex.org/W2144552105","https://openalex.org/W2152334070","https://openalex.org/W2157026765","https://openalex.org/W2160544350","https://openalex.org/W2165577558","https://openalex.org/W2170140722","https://openalex.org/W2175159455","https://openalex.org/W2199321793","https://openalex.org/W2312468355","https://openalex.org/W2364624137","https://openalex.org/W2464273353","https://openalex.org/W2531137666","https://openalex.org/W2611890062","https://openalex.org/W2614297574","https://openalex.org/W2775780988","https://openalex.org/W2789888100","https://openalex.org/W2792853049","https://openalex.org/W2794750833","https://openalex.org/W2800329949","https://openalex.org/W2894972976","https://openalex.org/W3099831940","https://openalex.org/W4285719527","https://openalex.org/W6657696318","https://openalex.org/W6678388991","https://openalex.org/W6687780495","https://openalex.org/W6785804309"],"related_works":["https://openalex.org/W2794704245","https://openalex.org/W2247097764","https://openalex.org/W2066185872","https://openalex.org/W1998334300","https://openalex.org/W2110241600","https://openalex.org/W2375849557","https://openalex.org/W2109325523","https://openalex.org/W2146297113","https://openalex.org/W2324508068","https://openalex.org/W2141966243"],"abstract_inverted_index":{"To":[0],"improve":[1],"the":[2,35,49,56,67,82,95,109,113,125,134,143,164,167],"performance":[3],"of":[4,116,124,166],"land-cover":[5,160,173],"change":[6,36,110,120,148,161,174],"detection":[7,149],"(LCCD)":[8],"using":[9],"remote":[10,40],"sensing":[11,41],"images,":[12],"this":[13],"study":[14],"utilises":[15],"spatial":[16],"information":[17],"in":[18,171],"an":[19],"adaptive":[20],"and":[21,98],"multi-scale":[22,28,53],"manner.":[23],"It":[24],"proposes":[25],"a":[26,62,75,146],"novel":[27],"object":[29,77],"histogram":[30],"distance":[31,104],"(MOHD)":[32],"to":[33,48,80,107,141,145],"measure":[34,108],"magnitude":[37,111,121],"between":[38,112],"bi-temporal":[39,117,126],"images.":[42,118],"Three":[43],"major":[44],"steps":[45],"are":[46,59,78],"related":[47],"proposed":[50,168],"MOHD.":[51],"Firstly,":[52],"objects":[54,115],"for":[55],"post-event":[57],"image":[58,122],"extracted":[60],"through":[61,131],"widely":[63,178],"used":[64,140,179],"algorithm":[65],"called":[66],"fractional":[68],"net":[69],"evaluation":[70],"approach.":[71],"The":[72,119],"pixels":[73],"within":[74],"segmental":[76],"taken":[79],"construct":[81],"pairwise":[83,114],"frequency":[84],"distribution":[85],"histograms.":[86],"An":[87],"arithmetic":[88],"frequency-mean":[89],"feature":[90],"is":[91,105,139],"then":[92],"defined":[93],"from":[94],"red,":[96],"green":[97],"blue":[99],"band":[100],"histogram.":[101],"Secondly,":[102],"bin-to-bin":[103],"adapted":[106],"(CMI)":[123],"images":[127],"can":[128],"be":[129],"generated":[130],"object-by-object.":[132],"Finally,":[133],"classical":[135],"binary":[136,147],"method":[137],"Otsu":[138],"divide":[142],"CMI":[144],"map.":[150],"Experimental":[151],"results":[152],"based":[153],"on":[154],"two":[155],"real":[156],"datasets":[157],"with":[158,176],"different":[159],"scenes":[162],"demonstrate":[163],"effectiveness":[165],"MOHD":[169],"approach":[170],"detecting":[172],"compared":[175],"three":[177],"existing":[180],"approaches.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2018-11-29T00:00:00"}
