{"id":"https://openalex.org/W2759623129","doi":"https://doi.org/10.1109/agro-geoinformatics.2017.8047063","title":"An automatic change detection technology for remote sensing data using Gaussian Mixture Model","display_name":"An automatic change detection technology for remote sensing data using Gaussian Mixture Model","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2759623129","doi":"https://doi.org/10.1109/agro-geoinformatics.2017.8047063","mag":"2759623129"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics.2017.8047063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2017.8047063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 6th International Conference on Agro-Geoinformatics","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/A5109991394","display_name":"Yuanzheng Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanzheng Shao","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, Hubei, China","Wuhan Geoway Spatial Information Technology Research Institute, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Wuhan Geoway Spatial Information Technology Research Institute, Wuhan, Hubei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084939934","display_name":"Ke Li","orcid":"https://orcid.org/0000-0002-9181-3562"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ke Li","raw_affiliation_strings":["Beijing Geoway Software Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Geoway Software Co., Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101524786","display_name":"Wei Du","orcid":"https://orcid.org/0009-0002-2363-077X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Du","raw_affiliation_strings":["Beijing Geoway Software Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Geoway Software Co., Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056674242","display_name":"Xuefeng Dai","orcid":"https://orcid.org/0000-0001-7310-8651"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Dai","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, Hubei, China","Wuhan Geoway Spatial Information Technology Research Institute, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Wuhan Geoway Spatial Information Technology Research Institute, Wuhan, Hubei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061971827","display_name":"Zhiwei Sun","orcid":"https://orcid.org/0000-0001-7899-9676"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiwei Sun","raw_affiliation_strings":["Beijing Geoway Software Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Geoway Software Co., Ltd., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":"14","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9991000294685364,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983000159263611,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/remote-sensing","display_name":"Remote sensing","score":0.7450579404830933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6474634408950806},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6024885177612305},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4857843220233917},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.4361782670021057},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43332189321517944},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.42906510829925537},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.4287710189819336},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4275381565093994},{"id":"https://openalex.org/keywords/hotspot","display_name":"Hotspot (geology)","score":0.4149731695652008},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34047579765319824},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33697211742401123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3313325047492981},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18564698100090027},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.18500709533691406},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11078828573226929}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7450579404830933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474634408950806},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6024885177612305},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4857843220233917},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.4361782670021057},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43332189321517944},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42906510829925537},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.4287710189819336},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4275381565093994},{"id":"https://openalex.org/C146481406","wikidata":"https://www.wikidata.org/wiki/Q105131","display_name":"Hotspot (geology)","level":2,"score":0.4149731695652008},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34047579765319824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33697211742401123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3313325047492981},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18564698100090027},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.18500709533691406},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11078828573226929},{"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/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/agro-geoinformatics.2017.8047063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2017.8047063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 6th International Conference on Agro-Geoinformatics","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":19,"referenced_works":["https://openalex.org/W51172198","https://openalex.org/W1546503963","https://openalex.org/W1972544340","https://openalex.org/W1988138612","https://openalex.org/W2002264765","https://openalex.org/W2004790262","https://openalex.org/W2119227354","https://openalex.org/W2120161462","https://openalex.org/W2161273109","https://openalex.org/W2165577558","https://openalex.org/W2167705549","https://openalex.org/W2178931769","https://openalex.org/W2349469056","https://openalex.org/W2357908805","https://openalex.org/W2371461859","https://openalex.org/W2521868507","https://openalex.org/W4300672471","https://openalex.org/W4385225312","https://openalex.org/W7036817170"],"related_works":["https://openalex.org/W2379637199","https://openalex.org/W2405057786","https://openalex.org/W2568858292","https://openalex.org/W2082282735","https://openalex.org/W2167705549","https://openalex.org/W3121506076","https://openalex.org/W1558351221","https://openalex.org/W2743190915","https://openalex.org/W2888697548","https://openalex.org/W2990870037"],"abstract_inverted_index":{"It":[0],"is":[1,53,104],"a":[2],"hotspot":[3],"in":[4,30,75,89,95,106,109],"the":[5,16,22,56,61,68,79,86,96,115,125,132,142,153],"field":[6],"of":[7,21,73,85,99,117],"remote":[8,23,43,69,81],"sensing":[9,24,44,70,82],"image":[10,25,45,63,71,97],"analysis":[11],"and":[12,18,32,47,60,78,122,131,149,151],"application":[13],"by":[14],"using":[15],"macro":[17],"real-time":[19],"features":[20],"data":[26,46,72,84],"for":[27],"its":[28],"change":[29,39],"Land":[31],"Resources.":[33],"This":[34],"paper":[35],"introduces":[36],"an":[37],"automatic":[38],"monitoring":[40,126],"method":[41,144],"with":[42],"historical":[48,80],"interpretation":[49,83],"vector":[50],"data,":[51],"which":[52,103],"based":[54],"on":[55],"Gaussian":[57],"Mixture":[58],"Model":[59],"vector-guided":[62],"spot":[64],"segmentation":[65],"technique.":[66],"With":[67],"GF-1":[74],"November":[76],"2014":[77],"corresponding":[87],"region":[88],"2014,":[90],"we":[91],"test":[92],"our":[93],"model":[94],"coverage":[98],"400":[100],"square":[101],"Km,":[102],"located":[105],"Yalujiang":[107],"Reserve":[108],"Dandong":[110],"City,":[111],"Liaoning":[112],"Province.":[113],"For":[114],"class":[116],"dry":[118],"land,":[119],"water":[120],"body":[121],"vegetation":[123],"surface,":[124],"rate":[127,134],"was":[128,135],"over":[129],"90%":[130],"missed":[133],"less":[136],"than":[137],"10%.":[138],"Experiments":[139],"show":[140],"that":[141],"proposed":[143],"can":[145],"obviously":[146],"improve":[147],"precision":[148],"efficiency":[150],"meet":[152],"production":[154],"needs.":[155]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}