{"id":"https://openalex.org/W2773836404","doi":"https://doi.org/10.1109/igarss.2017.8127678","title":"Spectral-spatial subspace clustering for hyperspectral images VIA modulated low-rank representation","display_name":"Spectral-spatial subspace clustering for hyperspectral images VIA modulated low-rank representation","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2773836404","doi":"https://doi.org/10.1109/igarss.2017.8127678","mag":"2773836404"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-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/A5031879189","display_name":"Jinhuan Xu","orcid":"https://orcid.org/0000-0002-5374-4498"},"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":"Jinhuan Xu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"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/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":false,"raw_author_name":"Nan Huang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"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/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":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"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/A5031879189"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":1.8832,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.88589935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3202","last_page":"3205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.982200026512146,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9710999727249146,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8134776949882507},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7153226137161255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6806437969207764},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6498883366584778},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6126374006271362},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6050779819488525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5931826829910278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5180869102478027},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5120925903320312},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4428894519805908},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.44232407212257385},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.43696996569633484},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43457964062690735},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38286542892456055},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20922628045082092},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06679791212081909}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8134776949882507},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7153226137161255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6806437969207764},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6498883366584778},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6126374006271362},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6050779819488525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5931826829910278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5180869102478027},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5120925903320312},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4428894519805908},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.44232407212257385},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.43696996569633484},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43457964062690735},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38286542892456055},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20922628045082092},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06679791212081909},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8127678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W1588948804","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2003217181","https://openalex.org/W2069231830","https://openalex.org/W2132914434","https://openalex.org/W2150593711","https://openalex.org/W2156722618","https://openalex.org/W2313932751","https://openalex.org/W2396298261","https://openalex.org/W6603183647"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W2343470940"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,41,59,118],"novel":[4,42],"spectral-spatial":[5],"low-rank":[6],"subspace":[7,120],"clustering":[8,14,121],"(SS-LRSC)":[9],"algorithm":[10],"is":[11,66,81,88],"presented":[12],"for":[13,122],"of":[15,98,113,132],"hyperspectral":[16],"images":[17],"(HSI).":[18],"Generally,":[19],"employing":[20],"the":[21,29,37,47,55,71,85,91,96,99,106,114,130,133],"traditional":[22],"LRSC":[23,92],"framework":[24],"directly":[25],"cannot":[26],"fully":[27],"exploit":[28],"sample":[30],"correlations":[31,108],"in":[32],"original":[33],"spatial":[34,76],"domain.":[35],"Therefore,":[36],"proposed":[38,134],"method":[39,87],"utilizes":[40],"modulation":[43,80,86,100],"strategy":[44],"to":[45,69,128],"modify":[46],"low":[48],"rank":[49],"representation":[50,62,72],"matrix,":[51],"which":[52,116],"largely":[53],"exploits":[54],"structure":[56,107],"correlations.":[57],"Specifically,":[58],"spectral":[60],"and":[61,109],"similarity":[63],"weighted":[64],"matrix":[65],"first":[67],"applied":[68],"modulate":[70],"matrix;":[73],"another":[74],"local":[75],"bilateral":[77],"filtering":[78],"based":[79],"further":[82],"incorporated.":[83],"Finally,":[84],"integrated":[89],"into":[90],"framework.":[93],"Benefitting":[94],"from":[95],"ability":[97],"method,":[101],"SS-LRSC":[102],"can":[103],"capture":[104],"both":[105],"inherent":[110],"feature":[111],"information":[112],"data,":[115],"provides":[117],"competitive":[119],"HSI.":[123],"Several":[124],"experiments":[125],"were":[126],"conducted":[127],"illustrate":[129],"performance":[131],"algorithm.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}