{"id":"https://openalex.org/W2339179587","doi":"https://doi.org/10.1109/tgrs.2016.2545927","title":"A Generalized Metaphor of Chinese Restaurant Franchise to Fusing Both Panchromatic and Multispectral Images for Unsupervised Classification","display_name":"A Generalized Metaphor of Chinese Restaurant Franchise to Fusing Both Panchromatic and Multispectral Images for Unsupervised Classification","publication_year":2016,"publication_date":"2016-04-22","ids":{"openalex":"https://openalex.org/W2339179587","doi":"https://doi.org/10.1109/tgrs.2016.2545927","mag":"2339179587"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2016.2545927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2545927","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","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/A5114547020","display_name":"Ting Mao","orcid":"https://orcid.org/0009-0007-8926-8474"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Mao","raw_affiliation_strings":["Key Laboratory of Environmental Change and Natural Disaster and the State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Environmental Change and Natural Disaster and the State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051316999","display_name":"Hong Tang","orcid":"https://orcid.org/0000-0001-9058-5724"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Tang","raw_affiliation_strings":["Key Laboratory of Environmental Change and Natural Disaster and the State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9058-5724","affiliations":[{"raw_affiliation_string":"Key Laboratory of Environmental Change and Natural Disaster and the State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianjun Wu","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Wu","raw_affiliation_strings":["Key Laboratory of Environmental Change and Natural Disaster and the State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Environmental Change and Natural Disaster and the State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069110910","display_name":"Weiguo Jiang","orcid":"https://orcid.org/0000-0002-1352-1046"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiguo Jiang","raw_affiliation_strings":["Key Laboratory of Environmental Change and Natural Disaster and the State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Environmental Change and Natural Disaster and the State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106760865","display_name":"Shi He","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi He","raw_affiliation_strings":["Key Laboratory of Environmental Change and Natural Disaster and the State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Environmental Change and Natural Disaster and the State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100689675","display_name":"Shu Yang","orcid":"https://orcid.org/0000-0003-1587-0474"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Shu","raw_affiliation_strings":["Key Laboratory of Environmental Change and Natural Disaster and the State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Environmental Change and Natural Disaster and the State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":2.8811,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.91965005,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"54","issue":"8","first_page":"4594","last_page":"4604"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9990000128746033,"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":0.9990000128746033,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987000226974487,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.7734436988830566},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7717595100402832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7209681868553162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7170453071594238},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.657252311706543},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.5587171316146851},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4657752215862274},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4590770900249481},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4202684760093689},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4145638942718506},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4111078679561615},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32592666149139404},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3095271587371826}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.7734436988830566},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7717595100402832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7209681868553162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7170453071594238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.657252311706543},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.5587171316146851},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4657752215862274},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4590770900249481},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4202684760093689},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4145638942718506},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4111078679561615},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32592666149139404},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3095271587371826}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2016.2545927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2545927","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2206513924","display_name":"\u57fa\u4e8e\u5c42\u6b21Dirichlet\u8fc7\u7a0b\u7684\u9ad8\u5206\u9065\u611f\u56fe\u50cf\u5206\u7c7b\u65b9\u6cd5\u53ca\u5176\u5e94\u7528\u7814\u7a76","funder_award_id":"41571334","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W106317687","https://openalex.org/W1545106347","https://openalex.org/W1557452405","https://openalex.org/W1986043678","https://openalex.org/W1987779238","https://openalex.org/W2000179198","https://openalex.org/W2030585344","https://openalex.org/W2042371054","https://openalex.org/W2053295068","https://openalex.org/W2054133252","https://openalex.org/W2054720550","https://openalex.org/W2068561554","https://openalex.org/W2077756867","https://openalex.org/W2101269155","https://openalex.org/W2103587173","https://openalex.org/W2110161540","https://openalex.org/W2114161542","https://openalex.org/W2120816922","https://openalex.org/W2122740842","https://openalex.org/W2123023145","https://openalex.org/W2125008487","https://openalex.org/W2129066856","https://openalex.org/W2133568543","https://openalex.org/W2138973222","https://openalex.org/W2150673874","https://openalex.org/W2153635508","https://openalex.org/W2154019910","https://openalex.org/W2158266063","https://openalex.org/W2163994077","https://openalex.org/W2167903638","https://openalex.org/W2181242446","https://openalex.org/W2301847393","https://openalex.org/W2476144514","https://openalex.org/W2615915281","https://openalex.org/W2962757050","https://openalex.org/W4253885256","https://openalex.org/W4285719527","https://openalex.org/W6604338981","https://openalex.org/W6633321604","https://openalex.org/W6675301171","https://openalex.org/W6678103038","https://openalex.org/W6679607006","https://openalex.org/W6684363390","https://openalex.org/W6697798680","https://openalex.org/W6738751612"],"related_works":["https://openalex.org/W1930929277","https://openalex.org/W2158394102","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2022261651","https://openalex.org/W2565514930","https://openalex.org/W2143372509","https://openalex.org/W3007156798"],"abstract_inverted_index":{"Two-step":[0],"ways":[1],"are":[2,104,128],"often":[3],"used":[4],"for":[5,14,61,117],"fusing":[6],"both":[7,73,184],"panchromatic":[8],"(PAN)":[9],"and":[10,57,75,101,113,147,192],"multispectral":[11],"(MS)":[12],"images":[13,19,23,32,56,77,112,191],"classification,":[15],"e.g.,":[16],"classifying":[17],"MS":[18,38,65,76,122,198],"sharpened":[20],"by":[21,140,164],"PAN":[22,31,55,74,111,190],"or":[24],"directly":[25],"pouring":[26],"fine":[27],"spatial":[28,166,186],"details":[29,187],"of":[30,37,72,84,152,174,188,196,202],"into":[33,135,160],"a":[34,45,81],"classification":[35,214],"result":[36],"images.":[39,66,199],"In":[40,200],"this":[41],"paper,":[42],"we":[43],"present":[44],"unified":[46],"Bayesian":[47],"framework":[48,139],"to":[49,106],"iteratively":[50],"discovering":[51,107],"semantic":[52,108],"segments":[53,63,109,120],"from":[54],"allocating":[58],"cluster":[59,115],"labels":[60,116],"the":[62,68,85,93,118,149,156,179,185,189,193,197,205],"using":[64,121],"Specifically,":[67],"probabilistic":[69],"generative":[70],"process":[71,151],"is":[78,133,158,207],"explained":[79],"with":[80,209],"generalized":[82,134],"metaphor":[83],"Chinese":[86],"restaurant":[87],"franchise":[88],"(CRF)":[89],"(gCRF),":[90],"in":[91,110,155],"which":[92],"two":[94,144],"iterative":[95],"random":[96,145,150],"processes,":[97,146],"i.e.,":[98],"table":[99,153],"selection":[100,154],"dish":[102],"selection,":[103],"adapted":[105],"inferring":[114],"discovered":[119],"images,":[123],"respectively.":[124],"Our":[125],"major":[126],"contributions":[127],"twofold:":[129],"1)":[130],"The":[131,171],"CRF":[132,157],"an":[136],"image":[137,162],"fusion":[138],"elegantly":[141],"decomposing":[142],"its":[143],"2)":[148],"transformed":[159],"stochastic":[161],"segmentation":[163],"enforcing":[165],"constraints":[167],"over":[168],"adjacent":[169],"pixels.":[170],"qualitative":[172],"analysis":[173],"experimental":[175],"results":[176],"shows":[177],"that":[178],"gCRF":[180,206],"can":[181],"effectively":[182],"utilize":[183],"spectral":[194],"information":[195],"terms":[201],"quantitative":[203],"evaluation,":[204],"comparable":[208],"support":[210],"vector":[211],"machine-based":[212],"supervised":[213],"methods.":[215]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}