{"id":"https://openalex.org/W2772312533","doi":"https://doi.org/10.1109/igarss.2017.8127362","title":"A change detection method based on cosegmentation","display_name":"A change detection method based on cosegmentation","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2772312533","doi":"https://doi.org/10.1109/igarss.2017.8127362","mag":"2772312533"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5080409877","display_name":"Zhenlei Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenlei Xie","raw_affiliation_strings":["School of Geomatics and Urban Information, Beijing University of Civil Engineering and Architecture, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geomatics and Urban Information, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053499812","display_name":"Ruoming Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoming Shi","raw_affiliation_strings":["School of Geomatics and Urban Information, Beijing University of Civil Engineering and Architecture, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geomatics and Urban Information, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055992257","display_name":"Ling Zhu","orcid":"https://orcid.org/0000-0001-7783-4175"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Zhu","raw_affiliation_strings":["School of Geomatics and Urban Information, Beijing University of Civil Engineering and Architecture, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geomatics and Urban Information, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102713928","display_name":"Peng Shu","orcid":"https://orcid.org/0000-0002-5970-9992"},"institutions":[{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Peng","raw_affiliation_strings":["National Geomatics Center of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Geomatics Center of China, Beijing, China","institution_ids":["https://openalex.org/I4210141849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022044383","display_name":"Linyuan Li","orcid":"https://orcid.org/0000-0002-8237-7076"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linyuan Li","raw_affiliation_strings":["State Key Lab. of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab. of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"1954","last_page":"1957"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9850999712944031,"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":0.9850999712944031,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9789000153541565,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7130894660949707},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6314442753791809},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.628296971321106},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6256684064865112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6001993417739868},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5843721628189087},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.5816328525543213},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5666839480400085},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5276424288749695},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5096211433410645},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5074707865715027},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46645301580429077},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44176286458969116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31481367349624634},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30806195735931396}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7130894660949707},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6314442753791809},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.628296971321106},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6256684064865112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6001993417739868},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5843721628189087},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.5816328525543213},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5666839480400085},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5276424288749695},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5096211433410645},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5074707865715027},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46645301580429077},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44176286458969116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31481367349624634},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30806195735931396},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8127362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2044465660","https://openalex.org/W2113137767","https://openalex.org/W2157244733","https://openalex.org/W2169551590","https://openalex.org/W2324909581","https://openalex.org/W3014094413","https://openalex.org/W6775279221","https://openalex.org/W7017791481"],"related_works":["https://openalex.org/W2312819198","https://openalex.org/W3036032503","https://openalex.org/W2941415828","https://openalex.org/W4280622786","https://openalex.org/W2561491196","https://openalex.org/W2319500318","https://openalex.org/W4312753625","https://openalex.org/W2356662304","https://openalex.org/W2376671254","https://openalex.org/W4255424250"],"abstract_inverted_index":{"A":[0],"method":[1,90],"based":[2],"on":[3],"cosegmentation":[4],"is":[5],"applied":[6],"to":[7,10,15],"change":[8,47,59],"detection":[9],"segment":[11,72],"image":[12,19,51],"patches":[13,20],"belonging":[14],"each":[16],"image.":[17,36],"The":[18,70],"have":[21],"the":[22,64,80,89],"characteristics":[23],"of":[24,41,46,55,74,91],"spatial":[25],"correspondence":[26],"in":[27,33,86],"multi-temporal":[28,75],"images":[29,76],"and":[30,39,50,57],"precise":[31],"boundary":[32],"its":[34,84],"own":[35],"By":[37],"construction":[38],"optimization":[40],"energy":[42,81],"function":[43,82],"that":[44],"consists":[45],"feature":[48,52],"item":[49],"item,":[53],"both":[54],"spectrum":[56],"shape":[58],"can":[60],"successfully":[61],"be":[62,94],"given":[63],"description":[65],"between":[66],"different":[67],"temporal":[68],"images.":[69],"optimal":[71],"results":[73],"are":[77],"achieved":[78],"as":[79],"reaches":[83],"minimum,":[85],"this":[87],"process,":[88],"min-cut/max-flow":[92],"will":[93],"used.":[95]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}