{"id":"https://openalex.org/W4381569769","doi":"https://doi.org/10.3390/rs15112832","title":"From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images","display_name":"From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images","publication_year":2023,"publication_date":"2023-05-29","ids":{"openalex":"https://openalex.org/W4381569769","doi":"https://doi.org/10.3390/rs15112832"},"language":"en","primary_location":{"id":"doi:10.3390/rs15112832","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112832","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2832/pdf?version=1685372582","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/11/2832/pdf?version=1685372582","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050449194","display_name":"Shaoguang Huang","orcid":"https://orcid.org/0000-0001-5439-5018"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]},{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE","CN"],"is_corresponding":false,"raw_author_name":"Shaoguang Huang","raw_affiliation_strings":["Department of Telecommunications and Information Processing, Ghent University, 9000 Ghent, Belgium","School of Computer Science, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Information Processing, Ghent University, 9000 Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385579","display_name":"Hongyan Zhang","orcid":"https://orcid.org/0000-0002-7894-5755"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongyan Zhang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020975557","display_name":"Haijin Zeng","orcid":"https://orcid.org/0000-0003-0398-3316"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Haijin Zeng","raw_affiliation_strings":["Department of Telecommunications and Information Processing, Ghent University, 9000 Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Information Processing, Ghent University, 9000 Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031078128","display_name":"Aleksandra Pi\u017eurica","orcid":"https://orcid.org/0000-0002-9322-4999"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Aleksandra Pi\u017eurica","raw_affiliation_strings":["Department of Telecommunications and Information Processing, Ghent University, 9000 Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Information Processing, Ghent University, 9000 Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100385579"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.2535,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82052272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"15","issue":"11","first_page":"2832","last_page":"2832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9890000224113464,"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":0.9804999828338623,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8183125257492065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7702795267105103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5897294878959656},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.56669682264328},{"id":"https://openalex.org/keywords/toolbox","display_name":"Toolbox","score":0.5044525861740112},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41798728704452515},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3655170798301697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3633801341056824}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8183125257492065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7702795267105103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5897294878959656},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.56669682264328},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.5044525861740112},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41798728704452515},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3655170798301697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3633801341056824},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs15112832","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112832","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2832/pdf?version=1685372582","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:archive.ugent.be:01HCFHX4FB98FMWDSS77VY78T1","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-01HCFHX4FB98FMWDSS77VY78T1","pdf_url":"https://biblio.ugent.be/publication/01HCFHX4FB98FMWDSS77VY78T1/file/01HCFJ2Q7EK766EP8HZNX3EMXC.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 2072-4292","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:882fbb7cfb4448258a2c74217ca537a6","is_oa":true,"landing_page_url":"https://doaj.org/article/882fbb7cfb4448258a2c74217ca537a6","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 11, p 2832 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/11/2832/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15112832","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 11; Pages: 2832","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15112832","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112832","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2832/pdf?version=1685372582","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.49000000953674316},{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2870525900","display_name":null,"funder_award_id":"Wuhan","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5001549692","display_name":null,"funder_award_id":"2022YFB3903605","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5377590583","display_name":null,"funder_award_id":"42071322","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6499765130","display_name":null,"funder_award_id":"2022164","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G715652389","display_name":null,"funder_award_id":"2022YFB3903605","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7895677245","display_name":null,"funder_award_id":"174B09119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8836104852","display_name":null,"funder_award_id":"BOF.24Y.2021.0049.01","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/F4320327336","display_name":"Vlaamse regering","ror":null},{"id":"https://openalex.org/F4320328899","display_name":"China University of Geosciences","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381569769.pdf","grobid_xml":"https://content.openalex.org/works/W4381569769.grobid-xml"},"referenced_works_count":201,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W238260150","https://openalex.org/W1500351990","https://openalex.org/W1597547751","https://openalex.org/W1963932623","https://openalex.org/W1970039276","https://openalex.org/W1986658236","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2013029404","https://openalex.org/W2027805700","https://openalex.org/W2032078878","https://openalex.org/W2033849598","https://openalex.org/W2034111910","https://openalex.org/W2040329636","https://openalex.org/W2051034476","https://openalex.org/W2054991605","https://openalex.org/W2059745395","https://openalex.org/W2063069198","https://openalex.org/W2066125712","https://openalex.org/W2067191022","https://openalex.org/W2069959554","https://openalex.org/W2075105027","https://openalex.org/W2089609272","https://openalex.org/W2095088894","https://openalex.org/W2098057602","https://openalex.org/W2099321050","https://openalex.org/W2103519107","https://openalex.org/W2108119513","https://openalex.org/W2114819256","https://openalex.org/W2116341502","https://openalex.org/W2118246710","https://openalex.org/W2118886215","https://openalex.org/W2127802986","https://openalex.org/W2128728535","https://openalex.org/W2129812935","https://openalex.org/W2131024476","https://openalex.org/W2133576408","https://openalex.org/W2139795045","https://openalex.org/W2140140790","https://openalex.org/W2144359569","https://openalex.org/W2147339185","https://openalex.org/W2150593711","https://openalex.org/W2152057649","https://openalex.org/W2163112044","https://openalex.org/W2165835468","https://openalex.org/W2313932751","https://openalex.org/W2318512420","https://openalex.org/W2345059010","https://openalex.org/W2468752595","https://openalex.org/W2554683605","https://openalex.org/W2555332322","https://openalex.org/W2571268788","https://openalex.org/W2598997103","https://openalex.org/W2605078373","https://openalex.org/W2641257982","https://openalex.org/W2736773830","https://openalex.org/W2757641791","https://openalex.org/W2762734523","https://openalex.org/W2766129308","https://openalex.org/W2766382972","https://openalex.org/W2766528611","https://openalex.org/W2773836404","https://openalex.org/W2788843024","https://openalex.org/W2790528326","https://openalex.org/W2791095861","https://openalex.org/W2793598183","https://openalex.org/W2799929262","https://openalex.org/W2802773224","https://openalex.org/W2885156949","https://openalex.org/W2889107641","https://openalex.org/W2890344598","https://openalex.org/W2892017453","https://openalex.org/W2896247532","https://openalex.org/W2898190873","https://openalex.org/W2898204262","https://openalex.org/W2899747753","https://openalex.org/W2900378603","https://openalex.org/W2901747865","https://openalex.org/W2907943085","https://openalex.org/W2911987835","https://openalex.org/W2914004410","https://openalex.org/W2914429466","https://openalex.org/W2915028496","https://openalex.org/W2915488482","https://openalex.org/W2948256530","https://openalex.org/W2950325582","https://openalex.org/W2951813019","https://openalex.org/W2954986473","https://openalex.org/W2955813564","https://openalex.org/W2958223551","https://openalex.org/W2963377923","https://openalex.org/W2963832384","https://openalex.org/W2984701870","https://openalex.org/W2985735212","https://openalex.org/W2986797280","https://openalex.org/W2986829670","https://openalex.org/W2997552922","https://openalex.org/W3004348854","https://openalex.org/W3005680577","https://openalex.org/W3006938728","https://openalex.org/W3012365916","https://openalex.org/W3019954098","https://openalex.org/W3021387581","https://openalex.org/W3025576489","https://openalex.org/W3030265082","https://openalex.org/W3034048636","https://openalex.org/W3035180628","https://openalex.org/W3035524453","https://openalex.org/W3042772844","https://openalex.org/W3046017366","https://openalex.org/W3046659257","https://openalex.org/W3047166575","https://openalex.org/W3048490535","https://openalex.org/W3088148076","https://openalex.org/W3088527290","https://openalex.org/W3088889289","https://openalex.org/W3089028909","https://openalex.org/W3091687261","https://openalex.org/W3098561772","https://openalex.org/W3101308162","https://openalex.org/W3106294914","https://openalex.org/W3109122403","https://openalex.org/W3111390112","https://openalex.org/W3118357058","https://openalex.org/W3124434846","https://openalex.org/W3127593446","https://openalex.org/W3129166376","https://openalex.org/W3131220929","https://openalex.org/W3132115664","https://openalex.org/W3132742354","https://openalex.org/W3134334503","https://openalex.org/W3134652006","https://openalex.org/W3135230039","https://openalex.org/W3135512617","https://openalex.org/W3141333499","https://openalex.org/W3147172970","https://openalex.org/W3148320761","https://openalex.org/W3148840588","https://openalex.org/W3152528485","https://openalex.org/W3152893301","https://openalex.org/W3157752331","https://openalex.org/W3158004143","https://openalex.org/W3158091052","https://openalex.org/W3158859817","https://openalex.org/W3160384218","https://openalex.org/W3174299795","https://openalex.org/W3178695133","https://openalex.org/W3178914557","https://openalex.org/W3180514382","https://openalex.org/W3183460812","https://openalex.org/W3192362588","https://openalex.org/W3201357114","https://openalex.org/W3202580540","https://openalex.org/W3204445362","https://openalex.org/W3208415928","https://openalex.org/W3209156169","https://openalex.org/W3212176979","https://openalex.org/W3213181738","https://openalex.org/W4205089469","https://openalex.org/W4206307542","https://openalex.org/W4206339218","https://openalex.org/W4220769261","https://openalex.org/W4225306310","https://openalex.org/W4226182700","https://openalex.org/W4226275810","https://openalex.org/W4240416043","https://openalex.org/W4250657332","https://openalex.org/W4250955649","https://openalex.org/W4252646468","https://openalex.org/W4285191214","https://openalex.org/W4285194710","https://openalex.org/W6609166994","https://openalex.org/W6635639680","https://openalex.org/W6639408265","https://openalex.org/W6672858520","https://openalex.org/W6676321539","https://openalex.org/W6680642325","https://openalex.org/W6681275918","https://openalex.org/W6682644385","https://openalex.org/W6685380521","https://openalex.org/W6744043827","https://openalex.org/W6744918891","https://openalex.org/W6751472406","https://openalex.org/W6758199180","https://openalex.org/W6766348596","https://openalex.org/W6782959951","https://openalex.org/W6790324123","https://openalex.org/W6791400159","https://openalex.org/W6794837366","https://openalex.org/W6794991511","https://openalex.org/W6799025074","https://openalex.org/W6800363189","https://openalex.org/W6801879250","https://openalex.org/W6802066488","https://openalex.org/W6803760252","https://openalex.org/W6807144946","https://openalex.org/W6810912016","https://openalex.org/W6811161227","https://openalex.org/W6839778930","https://openalex.org/W6840135945"],"related_works":["https://openalex.org/W4205140848","https://openalex.org/W2068663075","https://openalex.org/W2072166414","https://openalex.org/W2978678743","https://openalex.org/W2797837731","https://openalex.org/W3209970181","https://openalex.org/W4393677513","https://openalex.org/W2060875994","https://openalex.org/W4390832911","https://openalex.org/W3034375524"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"(HSIs),":[2],"captured":[3],"by":[4,85,192],"different":[5,175,189],"Earth":[6],"observation":[7],"airborne":[8],"and":[9,33,135,140,151,172,201],"space-borne":[10],"systems,":[11],"provide":[12],"rich":[13],"spectral":[14],"information":[15],"in":[16,31,45,52,112,142,205],"hundreds":[17],"of":[18,37,55,66,83,130,133,174,177,180,219],"bands,":[19],"enabling":[20],"far":[21],"better":[22],"discrimination":[23],"between":[24,188],"ground":[25],"materials":[26],"that":[27,216],"are":[28,61,208],"often":[29],"indistinguishable":[30],"visible":[32],"multi-spectral":[34],"images.":[35],"Clustering":[36],"HSIs,":[38],"which":[39,78],"aims":[40],"to":[41,102,223,226],"unveil":[42],"class":[43],"patterns":[44],"an":[46],"unsupervised":[47],"way,":[48],"is":[49,122],"highly":[50],"important":[51],"the":[53,80,92,99,120,137,143,146,152,166,206],"interpretation":[54],"HSI,":[56],"especially":[57],"when":[58],"labelled":[59],"data":[60,84],"not":[62],"available.":[63],"A":[64],"number":[65],"HSI":[67,134],"clustering":[68,113,131,157,178,190,221],"methods":[69,132,179,191],"have":[70,90],"been":[71],"proposed.":[72],"Among":[73],"them,":[74],"model-based":[75,100,148],"optimization":[76,88,149],"algorithms,":[77],"learn":[79],"cluster":[81],"structure":[82],"solving":[86],"convex/non-convex":[87],"problems,":[89],"achieved":[91],"current":[93],"state-of-the-art":[94],"performance.":[95,114],"Recent":[96],"works":[97],"extend":[98],"algorithms":[101,150,222],"deep":[103,106,154],"versions":[104],"with":[105],"neural":[107],"networks,":[108],"obtaining":[109],"huge":[110],"breakthroughs":[111,141],"However,":[115],"a":[116,127,160,184,214],"systematic":[117,185],"survey":[118],"on":[119,165,196],"topic":[121],"absent.":[123],"This":[124],"article":[125],"provides":[126],"comprehensive":[128],"overview":[129],"tracked":[136],"latest":[138],"techniques":[139],"domain,":[144],"including":[145],"traditional":[147],"emerging":[153],"learning":[155],"based":[156],"methods.":[158],"With":[159],"new":[161],"taxonomy,":[162],"we":[163,212],"elaborated":[164],"main":[167],"ideas,":[168],"technical":[169],"details,":[170],"advantages,":[171],"disadvantages":[173],"types":[176],"HSIs.":[181,198],"We":[182],"provided":[183,213],"performance":[186],"comparison":[187],"conducting":[193],"extensive":[194],"experiments":[195],"real":[197],"Unsolved":[199],"problems":[200],"future":[202],"research":[203],"trends":[204],"domain":[207],"pointed":[209],"out.":[210],"Moreover,":[211],"toolbox":[215],"contains":[217],"implementations":[218],"representative":[220],"help":[224],"researchers":[225],"develop":[227],"their":[228],"own":[229],"models.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2023-06-22T00:00:00"}
