{"id":"https://openalex.org/W3118381885","doi":"https://doi.org/10.1109/tgrs.2020.3046780","title":"Dual Sparse Representation Graph-Based Copropagation for Semisupervised Hyperspectral Image Classification","display_name":"Dual Sparse Representation Graph-Based Copropagation for Semisupervised Hyperspectral Image Classification","publication_year":2021,"publication_date":"2021-01-09","ids":{"openalex":"https://openalex.org/W3118381885","doi":"https://doi.org/10.1109/tgrs.2020.3046780","mag":"3118381885"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3046780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3046780","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/A5062745950","display_name":"Youqiang Zhang","orcid":"https://orcid.org/0000-0002-4761-4726"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youqiang Zhang","raw_affiliation_strings":["Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China","School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4761-4726","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081711485","display_name":"Guo Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Cao","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2689-0932","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024654155","display_name":"Bisheng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Bisheng Wang","raw_affiliation_strings":["Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025442255","display_name":"Xuesong Li","orcid":"https://orcid.org/0000-0002-2370-8998"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Li","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2370-8998","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036792256","display_name":"Prince Yaw Owusu Amoako","orcid":"https://orcid.org/0000-0002-1992-417X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Prince Yaw Owusu Amoako","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003050409","display_name":"Ayesha Shafique","orcid":"https://orcid.org/0000-0001-6298-7179"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ayesha Shafique","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4949,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83559312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"17"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9498999714851379,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.932200014591217,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/discriminative-model","display_name":"Discriminative model","score":0.7572406530380249},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7534365653991699},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6814218759536743},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6059912443161011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5336858034133911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49628907442092896},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4585094749927521},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4159841239452362},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2072065770626068},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13926932215690613}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7572406530380249},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7534365653991699},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6814218759536743},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6059912443161011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5336858034133911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49628907442092896},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4585094749927521},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4159841239452362},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2072065770626068},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13926932215690613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3046780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3046780","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G1589820861","display_name":null,"funder_award_id":"NY220157","funder_id":"https://openalex.org/F4320323268","funder_display_name":"Nanjing University of Posts and Telecommunications"},{"id":"https://openalex.org/G4847742897","display_name":null,"funder_award_id":"BK20191284","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G7776482482","display_name":null,"funder_award_id":"61801222","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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323268","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W38891395","https://openalex.org/W1521436688","https://openalex.org/W1591789348","https://openalex.org/W1897878572","https://openalex.org/W1969198379","https://openalex.org/W1988048998","https://openalex.org/W1993265270","https://openalex.org/W1997565609","https://openalex.org/W2009539575","https://openalex.org/W2009835454","https://openalex.org/W2029316659","https://openalex.org/W2030476695","https://openalex.org/W2044822643","https://openalex.org/W2048679005","https://openalex.org/W2054022051","https://openalex.org/W2057522815","https://openalex.org/W2060173047","https://openalex.org/W2063837453","https://openalex.org/W2090826137","https://openalex.org/W2092745549","https://openalex.org/W2093628091","https://openalex.org/W2098057602","https://openalex.org/W2098684142","https://openalex.org/W2101711129","https://openalex.org/W2118246710","https://openalex.org/W2131864940","https://openalex.org/W2136251662","https://openalex.org/W2136504847","https://openalex.org/W2142012908","https://openalex.org/W2152057649","https://openalex.org/W2153409933","https://openalex.org/W2168867644","https://openalex.org/W2171171329","https://openalex.org/W2252304777","https://openalex.org/W2504231264","https://openalex.org/W2522078899","https://openalex.org/W2528211483","https://openalex.org/W2531736579","https://openalex.org/W2543728464","https://openalex.org/W2608092940","https://openalex.org/W2620830647","https://openalex.org/W2754507318","https://openalex.org/W2766594578","https://openalex.org/W2768309288","https://openalex.org/W2790275230","https://openalex.org/W2793964374","https://openalex.org/W2808776742","https://openalex.org/W2894763306","https://openalex.org/W2904995961","https://openalex.org/W2907386640","https://openalex.org/W2964072855","https://openalex.org/W2997701990","https://openalex.org/W2998247074","https://openalex.org/W3011495011","https://openalex.org/W4241152325","https://openalex.org/W6638071513","https://openalex.org/W6675164516","https://openalex.org/W6675747103","https://openalex.org/W6679066655","https://openalex.org/W6680140577","https://openalex.org/W6680434193","https://openalex.org/W6682494755"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2404514746","https://openalex.org/W1652783584","https://openalex.org/W2088733771","https://openalex.org/W2958404818","https://openalex.org/W2761785940","https://openalex.org/W2971377935"],"abstract_inverted_index":{"Graph-based":[0],"semisupervised":[1],"hyperspectral":[2],"image":[3],"(HSI)":[4],"classification":[5,108,170],"methods":[6,202],"have":[7],"obtained":[8],"extensive":[9],"attention.":[10],"In":[11,100,146],"graph-based":[12,66,201],"methods,":[13],"a":[14],"graph":[15,30,112,117,152,184],"is":[16,24,94,161,180,197],"first":[17],"constructed,":[18],"and":[19,82,87,203],"then":[20],"the":[21,28,33,39,49,58,104,122,129,138,150,155,169,176,190,193],"label":[22,42,92,124,141],"propagation":[23,43,68,93,142],"carried":[25],"out":[26],"on":[27,85,96,209],"constructed":[29],"to":[31,79,148],"obtain":[32,218],"labels":[34,130],"for":[35,70,121,221],"unknown":[36],"samples.":[37,55],"However,":[38],"results":[40,139,171,220],"of":[41,51,131,140,157,192],"may":[44],"be":[45],"unreliable,":[46],"especially":[47],"in":[48,174],"case":[50],"very":[52],"limited":[53],"labeled":[54,119],"To":[56,167,188],"address":[57],"above":[59],"problem,":[60],"we":[61],"propose":[62],"dual":[63],"sparse":[64,76],"representation":[65,77],"collaborative":[67],"(DSRG-CP)":[69],"HSI":[71,211,222],"classification.":[72,223],"Specifically,":[73],"DSRG-CP":[74,196,216],"adopts":[75],"(SR)":[78],"construct":[80],"spectral":[81,86,151,158,164],"spatial":[83,88,183],"graphs":[84,98],"dimensions,":[89],"respectively.":[90],"Then,":[91],"performed":[95],"two":[97,144],"iteratively.":[99],"each":[101],"iteration,":[102],"only":[103],"samples":[105,120,133],"with":[106,199],"high":[107],"confidence":[109],"from":[110,143],"one":[111],"are":[113,134],"added":[114,162,181],"into":[115,163,182],"another":[116],"as":[118,186],"next":[123],"propagation.":[125],"After":[126],"several":[127,200],"iterations,":[128],"unlabeled":[132],"predicted":[135],"by":[136],"fusing":[137],"graphs.":[145],"addition,":[147],"make":[149,168],"more":[153,172],"discriminative,":[154],"regularizer":[156],"statistical":[159],"information":[160],"SR":[165],"model.":[166],"consistent":[173],"space,":[175],"superpixel":[177],"block":[178],"constraint":[179],"model":[185],"regularizer.":[187],"evaluate":[189],"performance":[191],"proposed":[194],"method,":[195],"compared":[198],"other":[204],"state-of-the-art":[205],"methods.":[206],"Extensive":[207],"experiments":[208],"real":[210],"data":[212],"sets":[213],"show":[214],"that":[215],"can":[217],"competitive":[219]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}