{"id":"https://openalex.org/W2086642909","doi":"https://doi.org/10.1109/lgrs.2013.2267091","title":"Semi-Supervised Manifold Learning Based Multigraph Fusion for High-Resolution Remote Sensing Image Classification","display_name":"Semi-Supervised Manifold Learning Based Multigraph Fusion for High-Resolution Remote Sensing Image Classification","publication_year":2013,"publication_date":"2013-08-02","ids":{"openalex":"https://openalex.org/W2086642909","doi":"https://doi.org/10.1109/lgrs.2013.2267091","mag":"2086642909"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2013.2267091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2267091","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5024542204","display_name":"Yasen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yasen Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Key Laboratory of Spatial Information Processing and Application System Technology, Beijing, China","Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Chinese Acad. of Sci., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Key Laboratory of Spatial Information Processing and Application System Technology, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Chinese Acad. of Sci., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063021091","display_name":"Xinwei Zheng","orcid":"https://orcid.org/0000-0001-8692-6522"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Zheng","raw_affiliation_strings":["Chinese Academy of Sciences, Key Laboratory of Spatial Information Processing and Application System Technology, Beijing, China","Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Chinese Acad. of Sci., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Key Laboratory of Spatial Information Processing and Application System Technology, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Chinese Acad. of Sci., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110846113","display_name":"Ge Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Liu","raw_affiliation_strings":["Chinese Academy of Sciences, Key Laboratory of Spatial Information Processing and Application System Technology, Beijing, China","Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Chinese Acad. of Sci., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Key Laboratory of Spatial Information Processing and Application System Technology, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Chinese Acad. of Sci., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005905514","display_name":"Xian Sun","orcid":"https://orcid.org/0000-0002-0038-9816"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Sun","raw_affiliation_strings":["Chinese Academy of Sciences, Key Laboratory of Spatial Information Processing and Application System Technology, Beijing, China","Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Chinese Acad. of Sci., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Key Laboratory of Spatial Information Processing and Application System Technology, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Chinese Acad. of Sci., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101404293","display_name":"Hongqi Wang","orcid":"https://orcid.org/0000-0002-5172-571X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongqi Wang","raw_affiliation_strings":["Chinese Academy of Sciences, Key Laboratory of Spatial Information Processing and Application System Technology, Beijing, China","Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Chinese Acad. of Sci., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Key Laboratory of Spatial Information Processing and Application System Technology, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Chinese Acad. of Sci., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112365916","display_name":"Kun Fu","orcid":"https://orcid.org/0000-0002-0450-6469"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Fu","raw_affiliation_strings":["Chinese Academy of Sciences, Key Laboratory of Spatial Information Processing and Application System Technology, Beijing, China","Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Chinese Acad. of Sci., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Key Laboratory of Spatial Information Processing and Application System Technology, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Chinese Acad. of Sci., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":4.3356,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.94868878,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":"2","first_page":"464","last_page":"468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9868000149726868,"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/computer-science","display_name":"Computer science","score":0.7241090536117554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6671336889266968},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6603332757949829},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6135658025741577},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5865464210510254},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5800781846046448},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5688328742980957},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5048323273658752},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4557608366012573},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4525635838508606},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4478529095649719},{"id":"https://openalex.org/keywords/manifold-alignment","display_name":"Manifold alignment","score":0.44526898860931396},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41874566674232483},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4178622364997864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3482549786567688},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3220450282096863},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11071699857711792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7241090536117554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6671336889266968},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6603332757949829},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6135658025741577},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5865464210510254},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5800781846046448},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5688328742980957},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5048323273658752},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4557608366012573},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4525635838508606},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4478529095649719},{"id":"https://openalex.org/C153120616","wikidata":"https://www.wikidata.org/wiki/Q17068315","display_name":"Manifold alignment","level":4,"score":0.44526898860931396},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41874566674232483},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4178622364997864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3482549786567688},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3220450282096863},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11071699857711792},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2013.2267091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2267091","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1566135517","https://openalex.org/W1980038761","https://openalex.org/W1990334093","https://openalex.org/W2019338222","https://openalex.org/W2027922120","https://openalex.org/W2053186076","https://openalex.org/W2095609079","https://openalex.org/W2097308346","https://openalex.org/W2104853049","https://openalex.org/W2121627225","https://openalex.org/W2124372976","https://openalex.org/W2129933262","https://openalex.org/W2132822263","https://openalex.org/W2142109962","https://openalex.org/W2151103935","https://openalex.org/W2163352848","https://openalex.org/W2164996087","https://openalex.org/W2168356304"],"related_works":["https://openalex.org/W2387045723","https://openalex.org/W2375518579","https://openalex.org/W117517268","https://openalex.org/W2944373987","https://openalex.org/W65619410","https://openalex.org/W2112684860","https://openalex.org/W2391701611","https://openalex.org/W2149544245","https://openalex.org/W1521224934","https://openalex.org/W3109610583"],"abstract_inverted_index":{"For":[0],"high-resolution":[1],"remote":[2,147],"sensing":[3,148],"image":[4,149],"classification":[5],"tasks,":[6],"multiple":[7,45,118],"features":[8,46,65,119],"are":[9,47],"usually":[10],"required":[11],"for":[12],"better":[13],"performances":[14],"since":[15],"single":[16],"visual":[17],"feature":[18],"is":[19],"valid":[20],"only":[21],"in":[22,43,93,100,137,141],"describing":[23],"one":[24],"pattern":[25],"of":[26,63,117,125,135,155],"images.":[27],"In":[28],"this":[29],"letter,":[30],"we":[31],"propose":[32],"a":[33,51,73,146],"novel":[34],"Semi-Supervised":[35],"Manifold":[36],"learning":[37,131],"based":[38],"Multigraph":[39],"Fusion":[40],"framework":[41,71,113],"(SSM-MF),":[42],"which":[44],"combined":[48],"to":[49,107],"learn":[50],"low-dimensional":[52],"subspace.":[53],"The":[54],"obtained":[55],"subspace":[56],"can":[57,103],"effectively":[58],"characterize":[59],"the":[60,64,97,115,123,153],"semantic":[61],"information":[62,89,92,99,136],"and":[66,79,82,90,96,120,127],"thus":[67],"benefits":[68],"classification.":[69],"Our":[70],"employs":[72],"semi-supervised":[74,130],"manner":[75],"by":[76],"exploiting":[77],"labeled":[78,94],"unlabeled":[80,101,139],"data":[81,95,102,140,150],"therefore":[83],"enjoy":[84],"three":[85],"advancements:":[86],"1)":[87],"discriminative":[88],"geometric":[91],"structural":[98],"be":[104],"jointly":[105],"utilized":[106],"enhance":[108],"manifold":[109],"learning;":[110],"2)":[111],"our":[112,129,156],"explores":[114],"complementary":[116],"meanwhile":[121],"avoids":[122],"curse":[124],"dimensionality;":[126],"3)":[128],"mode":[132],"makes":[133],"use":[134],"abundant":[138],"real-world":[142],"applications.":[143],"Experiments":[144],"on":[145],"set":[151],"validate":[152],"effectiveness":[154],"proposed":[157],"method.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}