{"id":"https://openalex.org/W3091687261","doi":"https://doi.org/10.1109/tcsvt.2020.3027616","title":"Deep Spatial-Spectral Subspace Clustering for Hyperspectral Image","display_name":"Deep Spatial-Spectral Subspace Clustering for Hyperspectral Image","publication_year":2020,"publication_date":"2020-09-29","ids":{"openalex":"https://openalex.org/W3091687261","doi":"https://doi.org/10.1109/tcsvt.2020.3027616","mag":"3091687261"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3027616","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5081490093","display_name":"Jianjun Lei","orcid":"https://orcid.org/0000-0003-3171-7680"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"funder","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Lei","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406088","display_name":"Xinyu Li","orcid":"https://orcid.org/0000-0001-9061-066X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"funder","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061202217","display_name":"Bo Peng","orcid":"https://orcid.org/0000-0002-6616-453X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"funder","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Peng","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065061505","display_name":"Leyuan Fang","orcid":"https://orcid.org/0000-0003-2351-4461"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"funder","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leyuan Fang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018686979","display_name":"Nam Ling","orcid":"https://orcid.org/0000-0002-5741-7937"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"funder","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nam Ling","raw_affiliation_strings":["Santa Clara University, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Santa Clara University, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.124,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.891108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"31","issue":"7","first_page":"2686","last_page":"2697"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9999,"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":0.9999,"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":0.9897,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9714,"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/spectral-clustering","display_name":"Spectral Clustering","score":0.7412795},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4880787},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.428317}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.88503575},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.7412795},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7344074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6730683},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6451505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62704617},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5325127},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5268311},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.51230824},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4880787},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48791453},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.47708496},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.428317},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34542176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28562388},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2329891},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07943371},{"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3027616","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"U1636214"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61922029"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61722112"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61620106009"},{"funder":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City","award_id":"18JCJQJC45800"},{"funder":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City","award_id":"18ZXZNGX00110"}],"datasets":[],"versions":[],"referenced_works_count":50,"referenced_works":["https://openalex.org/W1977556410","https://openalex.org/W1992300915","https://openalex.org/W1993962865","https://openalex.org/W2001298023","https://openalex.org/W2003217181","https://openalex.org/W2049299219","https://openalex.org/W2051034476","https://openalex.org/W2108859253","https://openalex.org/W2113076747","https://openalex.org/W2139054653","https://openalex.org/W2143416511","https://openalex.org/W2165835468","https://openalex.org/W2313932751","https://openalex.org/W2345059010","https://openalex.org/W2555332322","https://openalex.org/W2609615231","https://openalex.org/W2616910958","https://openalex.org/W2747311654","https://openalex.org/W2773836404","https://openalex.org/W2779692282","https://openalex.org/W2789643644","https://openalex.org/W2884158490","https://openalex.org/W2885156949","https://openalex.org/W2889837374","https://openalex.org/W2889861425","https://openalex.org/W2895634443","https://openalex.org/W2895913707","https://openalex.org/W2896340099","https://openalex.org/W2906147118","https://openalex.org/W2907943085","https://openalex.org/W2908169519","https://openalex.org/W2912209512","https://openalex.org/W2940939359","https://openalex.org/W2942454403","https://openalex.org/W2954986473","https://openalex.org/W2963226019","https://openalex.org/W2963365397","https://openalex.org/W2963558844","https://openalex.org/W2963761396","https://openalex.org/W2964074409","https://openalex.org/W2980054274","https://openalex.org/W2984701870","https://openalex.org/W2990418500","https://openalex.org/W2997272341","https://openalex.org/W3004561134","https://openalex.org/W3008789903","https://openalex.org/W3008911924","https://openalex.org/W3012365916","https://openalex.org/W3100011500","https://openalex.org/W3102566946"],"related_works":["https://openalex.org/W4313014865","https://openalex.org/W3209970181","https://openalex.org/W3034375524","https://openalex.org/W2343470940","https://openalex.org/W2072166414","https://openalex.org/W2070598848","https://openalex.org/W2060875994","https://openalex.org/W2044184146","https://openalex.org/W2027399350","https://openalex.org/W2019190440"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1,149],"(HSI)":[2],"clustering":[3,35,131,140],"is":[4,62,107,133],"a":[5,30,100],"challenging":[6],"task":[7],"due":[8],"to":[9,65,92,135],"the":[10,47,54,59,77,80,88,94,104,111,115,126,129,137,153],"complex":[11],"characteristics":[12],"in":[13,120],"HSI":[14,139],"data,":[15],"such":[16],"as":[17,76],"spatial-spectral":[18,33,44,67],"structure,":[19],"high-dimension,":[20],"and":[21,50,90,110],"large":[22],"spectral":[23,130],"variability.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28],"propose":[29],"novel":[31],"deep":[32],"subspace":[34,96],"network":[36,106],"(DS3":[37],"C":[40],"-Net),":[41],"which":[42,73],"explores":[43],"information":[45],"via":[46],"multi-scale":[48,60],"auto-encoder":[49,61],"collaborative":[51,81],"constraint.":[52],"Considering":[53],"structure":[55],"correlations":[56],"of":[57,114],"HSI,":[58],"first":[63],"designed":[64],"extract":[66],"features":[68],"with":[69],"different-scale":[70],"pixel":[71],"blocks":[72],"are":[74,85,118],"selected":[75],"inputs.":[78],"Then,":[79],"constrained":[82],"self-expressive":[83,95],"layers":[84],"introduced":[86],"between":[87],"encoder":[89],"decoder,":[91],"capture":[93],"structures.":[97],"By":[98],"designing":[99],"self-expressiveness":[101],"similarity":[102],"constraint,":[103],"proposed":[105,154],"trained":[108],"collaboratively,":[109],"affinity":[112,127],"matrices":[113],"feature":[116],"representation":[117],"learned":[119],"an":[121],"end-to-end":[122],"manner.":[123],"Based":[124],"on":[125,144],"matrices,":[128],"algorithm":[132],"utilized":[134],"obtain":[136],"final":[138],"result.":[141],"Experimental":[142],"results":[143],"three":[145],"widely":[146],"used":[147],"hyperspectral":[148],"datasets":[150],"demonstrate":[151],"that":[152],"method":[155],"outperforms":[156],"state-of-the-art":[157],"methods.":[158]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3091687261","counts_by_year":[{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":1}],"updated_date":"2025-04-16T09:54:55.830366","created_date":"2020-10-08"}