{"id":"https://openalex.org/W2997552922","doi":"https://doi.org/10.1109/jstars.2019.2953378","title":"Bipartite Graph Partition Based Coclustering With Joint Sparsity for Hyperspectral Images","display_name":"Bipartite Graph Partition Based Coclustering With Joint Sparsity for Hyperspectral Images","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2997552922","doi":"https://doi.org/10.1109/jstars.2019.2953378","mag":"2997552922"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2019.2953378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2953378","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5014878552","display_name":"Nan Huang","orcid":"https://orcid.org/0000-0003-0871-158X"},"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":true,"raw_author_name":"Nan Huang","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":"middle","author":{"id":"https://openalex.org/A5020302879","display_name":"Liang Xiao","orcid":"https://orcid.org/0000-0003-0178-9384"},"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":"Liang Xiao","raw_affiliation_strings":["Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China","School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0178-9384","affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"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/A5100649896","display_name":"Yang Xu","orcid":"https://orcid.org/0000-0003-3514-9705"},"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":"Yang Xu","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":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014878552"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":1.2689,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83745101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"12","issue":"12","first_page":"4698","last_page":"4711"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9851999878883362,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9814000129699707,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8739716410636902},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.7537908554077148},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6500080823898315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6109790205955505},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6083484292030334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5171725153923035},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.48234885931015015},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4489709734916687},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.43171894550323486},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.4278530478477478},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3412807583808899},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1779554784297943}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8739716410636902},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.7537908554077148},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6500080823898315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6109790205955505},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6083484292030334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5171725153923035},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.48234885931015015},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4489709734916687},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.43171894550323486},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.4278530478477478},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3412807583808899},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1779554784297943}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2019.2953378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2953378","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G1665565477","display_name":null,"funder_award_id":"61571230","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7953381830","display_name":null,"funder_award_id":"30918011104","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8432856719","display_name":null,"funder_award_id":"61871226","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1576123718","https://openalex.org/W1808881044","https://openalex.org/W1944540851","https://openalex.org/W1979089718","https://openalex.org/W1992405901","https://openalex.org/W1993962865","https://openalex.org/W2003217181","https://openalex.org/W2040329636","https://openalex.org/W2047705660","https://openalex.org/W2056621966","https://openalex.org/W2068510557","https://openalex.org/W2072708122","https://openalex.org/W2077028485","https://openalex.org/W2086829791","https://openalex.org/W2095117703","https://openalex.org/W2097341236","https://openalex.org/W2097915756","https://openalex.org/W2099321050","https://openalex.org/W2119506311","https://openalex.org/W2130835014","https://openalex.org/W2133576408","https://openalex.org/W2136251662","https://openalex.org/W2161160262","https://openalex.org/W2161455936","https://openalex.org/W2162409952","https://openalex.org/W2165835468","https://openalex.org/W2165874743","https://openalex.org/W2221872968","https://openalex.org/W2313932751","https://openalex.org/W2396298261","https://openalex.org/W2577727229","https://openalex.org/W2579929594","https://openalex.org/W2753086770","https://openalex.org/W2773836404","https://openalex.org/W2789643644","https://openalex.org/W2794472454","https://openalex.org/W2900378603","https://openalex.org/W2907943085","https://openalex.org/W4255476700","https://openalex.org/W6674354551","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W1966869234","https://openalex.org/W2920797426","https://openalex.org/W2139206670","https://openalex.org/W4312501584","https://openalex.org/W4361305700","https://openalex.org/W1997912302","https://openalex.org/W2143000384","https://openalex.org/W62664711","https://openalex.org/W2791984915","https://openalex.org/W3132986791"],"abstract_inverted_index":{"Clustering":[0],"for":[1,82],"hyperspectral":[2,43,89,129,143,224],"images":[3],"(HSIs)":[4],"is":[5,96,138],"a":[6,70,99,108,135,157,207],"very":[7],"challenging":[8],"task":[9],"because":[10],"HSIs":[11,119],"usually":[12],"have":[13,32],"large":[14],"spectral":[15,28,114,180],"variability,":[16],"high":[17],"dimensionality,":[18],"and":[19,26,55,88,115,131,163,167,188,202,226],"complex":[20],"structures.":[21],"Recently,":[22],"the":[23,58,92,121,146,152,175,186,203,211,231],"sparse":[24,110],"representation":[25,111],"dictionary-learning-based":[27],"clustering":[29,37,44],"(SC)":[30],"approaches":[31],"achieved":[33],"great":[34],"success":[35],"in":[36],"HSIs.":[38],"However,":[39],"SC":[40],"deals":[41],"with":[42,79,145],"by":[45,112,150],"one-way":[46],"clustering,":[47,54],"i.e.,":[48],"either":[49],"dictionary":[50,86,94,132,148],"atoms":[51,87,149],"or":[52],"sparse-representation-based":[53],"only":[56],"clusters":[57,165],"columns":[59,168],"information":[60,127,169],"of":[61,118,161,170,192,210],"adjacency":[62,171],"matrix.":[63,172],"To":[64,173],"overcome":[65],"these":[66],"problems,":[67],"we":[68,178],"propose":[69],"novel":[71],"coclustering":[72],"based":[73],"on":[74,220],"bipartite":[75],"graph":[76,181],"partition":[77,182],"(BGP)":[78],"joint":[80,101,122,153],"sparsity":[81,102,123,154],"two":[83],"disjoint":[84],"sets:":[85],"pixels.":[90],"First,":[91],"structured":[93,109],"constraint":[95],"incorporated":[97],"into":[98],"unified":[100],"constrained":[103],"optimizing":[104],"model":[105],"to":[106,140,156,198],"learn":[107],"incorporating":[113],"contextual":[116],"characteristics":[117],"where":[120],"coefficients":[124,155],"provide":[125],"related":[126],"between":[128],"pixels":[130,144],"atoms.":[133],"Then,":[134],"BGP-based":[136],"classifier":[137],"proposed":[139,216,232],"simultaneously":[141,164],"group":[142],"learned":[147],"mapping":[151],"non-negative":[158],"affinity":[159],"matrix":[160,197],"graph,":[162],"rows":[166],"solve":[174,206],"BGP":[176,213],"problem,":[177],"use":[179],"algorithm,":[183],"which":[184],"uses":[185],"left":[187],"right":[189],"singular":[190,204],"vectors":[191,205],"an":[193],"appropriately":[194],"dictionary-signal":[195],"adjacent":[196],"yield":[199],"good":[200],"bipartitionings":[201],"real":[208],"relaxation":[209],"NP-complete":[212],"problem.":[214],"The":[215],"algorithm":[217,233],"was":[218],"tested":[219],"three":[221],"widely":[222],"used":[223],"datasets,":[225],"experimental":[227],"results":[228],"demonstrate":[229],"that":[230],"outperforms":[234],"other":[235],"state-of-the-art":[236],"methods.":[237]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}