乐胖代购免代理版

{"id":"https://openalex.org/W3150881149","doi":"https://doi.org/10.18280/ts.380103","title":"Classification of Remote Sensing Images Through Reweighted Sparse Subspace Representation Using Compressed Data","display_name":"Classification of Remote Sensing Images Through Reweighted Sparse Subspace Representation Using Compressed Data","publication_year":2021,"publication_date":"2021-02-28","ids":{"openalex":"https://openalex.org/W3150881149","doi":"https://doi.org/10.18280/ts.380103","mag":"3150881149"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18280/ts.380103","pdf_url":"https://www.iieta.org/download/file/fid/50679","source":{"id":"https://openalex.org/S120060627","display_name":"Traitement du signal","issn_l":"0765-0019","issn":["0765-0019","1958-5608"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":"https://openalex.org/P4310312982","host_organization_name":"International Information and Engineering Technology Association","host_organization_lineage":["https://openalex.org/P4310312982"],"host_organization_lineage_names":["International Information and Engineering Technology Association"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.iieta.org/download/file/fid/50679","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059894156","display_name":"Jianchen Zhu","orcid":"https://orcid.org/0000-0002-5988-3704"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"funder","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianchen Zhu","raw_affiliation_strings":["College of Electronics and Communication Engineering, Tongji University, Shanghai 200082, China","The Key Laboratory of Embedded System and Service Computing, Ministry of Education (Tongji University), Shanghai 200082, China"],"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Embedded System and Service Computing, Ministry of Education (Tongji University), Shanghai 200082, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Electronics and Communication Engineering, Tongji University, Shanghai 200082, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035948567","display_name":"Shengjie Zhao","orcid":"https://orcid.org/0000-0002-6109-2522"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"funder","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shengjie Zhao","raw_affiliation_strings":["School of Software Engineering, Tongji University, Shanghai 200082, China","The Key Laboratory of Embedded System and Service Computing, Ministry of Education (Tongji University), Shanghai 200082, China"],"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Embedded System and Service Computing, Ministry of Education (Tongji University), Shanghai 200082, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai 200082, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101923041","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-3350-1640"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"funder","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["College of Electronics and Communication Engineering, Tongji University, Shanghai 200082, China"],"affiliations":[{"raw_affiliation_string":"College of Electronics and Communication Engineering, Tongji University, Shanghai 200082, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5035948567"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.116,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":1,"citation_normalized_percentile":{"value":0.424981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":56,"max":66},"biblio":{"volume":"38","issue":"1","first_page":"27","last_page":"37"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983,"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":0.9983,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.998,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9888,"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/spectral-clustering","display_name":"Spectral Clustering","score":0.6015531},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.4855406},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.42202166}],"concepts":[{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7137885},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7033521},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.68958414},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6485061},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61183345},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6015531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58157533},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.58111346},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5695812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5388695},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.4855406},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.42202166},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34532154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3056004},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22886413},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.18280/ts.380103","pdf_url":"https://www.iieta.org/download/file/fid/50679","source":{"id":"https://openalex.org/S120060627","display_name":"Traitement du signal","issn_l":"0765-0019","issn":["0765-0019","1958-5608"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":"https://openalex.org/P4310312982","host_organization_name":"International Information and Engineering Technology Association","host_organization_lineage":["https://openalex.org/P4310312982"],"host_organization_lineage_names":["International Information and Engineering Technology Association"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18280/ts.380103","pdf_url":"https://www.iieta.org/download/file/fid/50679","source":{"id":"https://openalex.org/S120060627","display_name":"Traitement du signal","issn_l":"0765-0019","issn":["0765-0019","1958-5608"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":"https://openalex.org/P4310312982","host_organization_name":"International Information and Engineering Technology Association","host_organization_lineage":["https://openalex.org/P4310312982"],"host_organization_lineage_names":["International Information and Engineering Technology Association"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61936014"},{"funder":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":46,"referenced_works":["https://openalex.org/W1572158434","https://openalex.org/W188881548","https://openalex.org/W1977301496","https://openalex.org/W1985051078","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2002498099","https://openalex.org/W2004849593","https://openalex.org/W2011813002","https://openalex.org/W2054439121","https://openalex.org/W2056672982","https://openalex.org/W2058768541","https://openalex.org/W2070145771","https://openalex.org/W2094465594","https://openalex.org/W2107541189","https://openalex.org/W2136251662","https://openalex.org/W2136893771","https://openalex.org/W2159268085","https://openalex.org/W2170608472","https://openalex.org/W2313932751","https://openalex.org/W2342181855","https://openalex.org/W2511401065","https://openalex.org/W2532206188","https://openalex.org/W2555332322","https://openalex.org/W2608819578","https://openalex.org/W2619223975","https://openalex.org/W2626592829","https://openalex.org/W2742662862","https://openalex.org/W2755992512","https://openalex.org/W2789643644","https://openalex.org/W2791568823","https://openalex.org/W2794358477","https://openalex.org/W2801324747","https://openalex.org/W2805867381","https://openalex.org/W2892682079","https://openalex.org/W2900074192","https://openalex.org/W2912423076","https://openalex.org/W2921940552","https://openalex.org/W2964193132","https://openalex.org/W2967326794","https://openalex.org/W2968890898","https://openalex.org/W3016464806","https://openalex.org/W3101253503","https://openalex.org/W3102566946","https://openalex.org/W3103421582","https://openalex.org/W4230960434"],"related_works":["https://openalex.org/W2890952311","https://openalex.org/W2509955295","https://openalex.org/W2388952560","https://openalex.org/W2204991413","https://openalex.org/W2149282631","https://openalex.org/W2099321050","https://openalex.org/W2047275718","https://openalex.org/W2034957211","https://openalex.org/W2011611369","https://openalex.org/W110819671"],"abstract_inverted_index":{"In":[0],"many":[1],"real-world":[2],"scenarios,":[3],"subspace":[4,101],"clustering":[5,102,118,148,156],"essentially":[6],"aims":[7],"to":[8,46,50,69],"cluster":[9,51],"unlabeled":[10],"high-dimensional":[11],"data":[12,25,73],"into":[13,111],"a":[14,48,84,91,126],"union":[15],"of":[16,32,38,58,143,152],"finite-dimensional":[17],"linear":[18],"subspaces.":[19],"The":[20,104,129,150],"problem":[21],"is":[22,96],"that":[23,76],"the":[24,30,33,56,67,71,108,117,121,135,141,144],"are":[26,79],"always":[27],"high-dimensional,":[28],"with":[29],"increase":[31],"computation,":[34],"storge,":[35],"and":[36],"communication":[37],"various":[39],"intelligent":[40],"data-driven":[41],"systems.":[42],"This":[43],"paper":[44],"attempts":[45],"develop":[47],"method":[49],"spectral":[52,63,146,154],"images":[53],"directly":[54],"using":[55,134],"measurements":[57,78,110,132],"compressive":[59],"coded":[60,137],"aperture":[61,138],"snapshot":[62],"imager":[64],"(CASSI),":[65],"eliminating":[66],"need":[68],"reconstruct":[70],"entire":[72],"cube.":[74],"Assuming":[75],"compressed":[77,109,130],"drawn":[80],"from":[81],"multiple":[82],"subspaces,":[83,113],"novel":[85],"algorithm":[86,106,123],"was":[87,158],"developed":[88],"by":[89,124],"solving":[90],"1-norm":[92],"minimization":[93],"problem,":[94],"which":[95,114],"known":[97],"as":[98],"reweighted":[99,127],"sparse":[100],"(RSSC).":[103],"proposed":[105,145],"clusters":[107],"different":[112],"greatly":[115],"improves":[116],"accuracy":[119,151],"over":[120],"SSC":[122],"adding":[125],"step.":[128],"CASSI":[131],"obtained":[133],"coherence-based":[136],"can":[139],"improve":[140],"performance":[142],"image":[147,155],"method.":[149],"our":[153],"approach":[157],"verified":[159],"through":[160],"simulations":[161],"on":[162],"two":[163],"real":[164],"datasets.":[165]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3150881149","counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-03-27T04:14:39.485197","created_date":"2021-04-13"}