{"id":"https://openalex.org/W4296569544","doi":"https://doi.org/10.3390/rs14174373","title":"Tensor Dictionary Self-Taught Learning Classification Method for Hyperspectral Image","display_name":"Tensor Dictionary Self-Taught Learning Classification Method for Hyperspectral Image","publication_year":2022,"publication_date":"2022-09-02","ids":{"openalex":"https://openalex.org/W4296569544","doi":"https://doi.org/10.3390/rs14174373"},"language":"en","primary_location":{"id":"doi:10.3390/rs14174373","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14174373","pdf_url":"https://www.mdpi.com/2072-4292/14/17/4373/pdf?version=1662457239","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/2072-4292/14/17/4373/pdf?version=1662457239","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028563955","display_name":"Fengshuang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210152006","display_name":"Jilin Agricultural University","ror":"https://ror.org/05dmhhd41","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152006"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengshuang Liu","raw_affiliation_strings":["College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China","Key Laboratory of Efficient Sowing and Harvesting Equipment, Ministry of Agriculture and Rural Affairs, Jilin University, Changchun 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210152006"]},{"raw_affiliation_string":"Key Laboratory of Efficient Sowing and Harvesting Equipment, Ministry of Agriculture and Rural Affairs, Jilin University, Changchun 130022, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210151987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086733146","display_name":"Jun Fu","orcid":"https://orcid.org/0000-0002-6810-6595"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210152006","display_name":"Jilin Agricultural University","ror":"https://ror.org/05dmhhd41","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152006"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Fu","raw_affiliation_strings":["College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China","Key Laboratory of Efficient Sowing and Harvesting Equipment, Ministry of Agriculture and Rural Affairs, Jilin University, Changchun 130022, China"],"raw_orcid":"https://orcid.org/0000-0002-6810-6595","affiliations":[{"raw_affiliation_string":"College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210152006"]},{"raw_affiliation_string":"Key Laboratory of Efficient Sowing and Harvesting Equipment, Ministry of Agriculture and Rural Affairs, Jilin University, Changchun 130022, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210151987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055119440","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0002-9654-0268"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China"],"raw_orcid":"https://orcid.org/0000-0002-9654-0268","affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004174956","display_name":"Rongqiang Zhao","orcid":"https://orcid.org/0000-0003-0131-9542"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210152006","display_name":"Jilin Agricultural University","ror":"https://ror.org/05dmhhd41","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152006"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongqiang Zhao","raw_affiliation_strings":["College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China","Key Laboratory of Efficient Sowing and Harvesting Equipment, Ministry of Agriculture and Rural Affairs, Jilin University, Changchun 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210152006"]},{"raw_affiliation_string":"Key Laboratory of Efficient Sowing and Harvesting Equipment, Ministry of Agriculture and Rural Affairs, Jilin University, Changchun 130022, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210151987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086733146"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210151987","https://openalex.org/I4210152006"],"apc_list":{"value":2700,"currency":"CHF","value_usd":3258},"apc_paid":{"value":2700,"currency":"CHF","value_usd":3258},"fwci":0.5383,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65903376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"14","issue":"17","first_page":"4373","last_page":"4373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9649999737739563,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9440000057220459,"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":0.7476589679718018},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7212349772453308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7144218683242798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6964898109436035},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5883244872093201},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5583537817001343},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.4283609092235565},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41598135232925415},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4128406047821045},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.34112367033958435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25414109230041504}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7476589679718018},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7212349772453308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7144218683242798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6964898109436035},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5883244872093201},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5583537817001343},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.4283609092235565},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41598135232925415},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4128406047821045},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.34112367033958435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25414109230041504},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14174373","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14174373","pdf_url":"https://www.mdpi.com/2072-4292/14/17/4373/pdf?version=1662457239","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:doaj.org/article:3e88bc6ce7c74eddb22d4e3b5885f693","is_oa":true,"landing_page_url":"https://doaj.org/article/3e88bc6ce7c74eddb22d4e3b5885f693","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 17, p 4373 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/17/4373/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14174373","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14174373","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14174373","pdf_url":"https://www.mdpi.com/2072-4292/14/17/4373/pdf?version=1662457239","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":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6996834897","display_name":null,"funder_award_id":"62103161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8306356285","display_name":null,"funder_award_id":"JJKH20221023KJ","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296569544.pdf","grobid_xml":"https://content.openalex.org/works/W4296569544.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W1979074964","https://openalex.org/W1990895816","https://openalex.org/W2000045479","https://openalex.org/W2013912476","https://openalex.org/W2056621966","https://openalex.org/W2057540576","https://openalex.org/W2066792693","https://openalex.org/W2097915756","https://openalex.org/W2106777458","https://openalex.org/W2119412403","https://openalex.org/W2122922389","https://openalex.org/W2130835014","https://openalex.org/W2134663338","https://openalex.org/W2136251662","https://openalex.org/W2145834005","https://openalex.org/W2153635508","https://openalex.org/W2164330327","https://openalex.org/W2266476757","https://openalex.org/W2343514605","https://openalex.org/W2500751094","https://openalex.org/W2572303978","https://openalex.org/W2592224809","https://openalex.org/W2614326984","https://openalex.org/W2620547787","https://openalex.org/W2755992512","https://openalex.org/W2764276316","https://openalex.org/W2770611245","https://openalex.org/W2781301792","https://openalex.org/W2782517840","https://openalex.org/W2794954404","https://openalex.org/W2885452623","https://openalex.org/W2889773939","https://openalex.org/W2899747753","https://openalex.org/W2901425044","https://openalex.org/W2914331134","https://openalex.org/W2945225401","https://openalex.org/W2956367483","https://openalex.org/W2981959903","https://openalex.org/W2982122358","https://openalex.org/W2986799142","https://openalex.org/W2991286101","https://openalex.org/W2998336700","https://openalex.org/W3003482697","https://openalex.org/W3008002647","https://openalex.org/W3012281902","https://openalex.org/W3024521712","https://openalex.org/W3032341357","https://openalex.org/W3033496527","https://openalex.org/W3040988483","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3102692100","https://openalex.org/W3103695279","https://openalex.org/W3106294914","https://openalex.org/W3107721993","https://openalex.org/W3130779229","https://openalex.org/W3157130577","https://openalex.org/W3164109047","https://openalex.org/W3164229442","https://openalex.org/W3168367808","https://openalex.org/W3196410189","https://openalex.org/W4214598159","https://openalex.org/W4224882649","https://openalex.org/W4281633835","https://openalex.org/W4282929851","https://openalex.org/W4285187901","https://openalex.org/W4289203584","https://openalex.org/W4289522819","https://openalex.org/W4292451729","https://openalex.org/W4292553536","https://openalex.org/W4312617484","https://openalex.org/W6750438185","https://openalex.org/W6795385179","https://openalex.org/W6800799079"],"related_works":["https://openalex.org/W2099321050","https://openalex.org/W2890952311","https://openalex.org/W2374021060","https://openalex.org/W2509955295","https://openalex.org/W2047275718","https://openalex.org/W2034957211","https://openalex.org/W2388952560","https://openalex.org/W110819671","https://openalex.org/W2149282631","https://openalex.org/W2204991413"],"abstract_inverted_index":{"Precise":[0],"object":[1],"classification":[2,23,66,93,157,214,235],"based":[3,127],"on":[4,67,100,128,150,205],"Hyperspectral":[5],"imagery":[6],"with":[7,174,230],"limited":[8],"training":[9,96],"data":[10,44,70,74,153],"presents":[11],"a":[12,17,39,105],"challenging":[13],"task.":[14],"We":[15],"propose":[16,104],"tensor-based":[18,107],"dictionary":[19,108],"self-taught":[20],"learning":[21,109],"(TDSL)":[22],"method":[24],"to":[25,37,45,143,168],"provide":[26,156],"some":[27],"insight":[28],"into":[29],"these":[30,125],"challenges.":[31],"The":[32,50,172,200,213],"idea":[33],"of":[34,42,191,237],"TDSL":[35,51,87,173],"is":[36,166],"utilize":[38],"small":[40],"amount":[41],"unlabeled":[43,57,101],"improve":[46],"the":[47,68,115,129,151,159,164,169,175,181,189,198,234,238],"supervised":[48],"classification.":[49,199],"trains":[52],"tensor":[53,62,97,148,170],"feature":[54,98,138],"extractors":[55,99],"from":[56],"data,":[58,102],"extracts":[59],"joint":[60,146],"spectral-spatial":[61,147],"features":[63,149],"and":[64,91,123,187,210,225],"performs":[65],"labeled":[69,152],"set.":[71,154],"These":[72,135],"two":[73],"sets":[75],"can":[76,88,179],"be":[77],"gathered":[78],"over":[79],"different":[80,84,192],"scenes":[81],"even":[82],"by":[83,243],"sensors.":[85],"Therefore,":[86],"complete":[89],"cross-scene":[90],"cross-sensor":[92],"tasks.":[94],"For":[95],"we":[103,117],"sparse":[106,145],"algorithm":[110],"for":[111],"three-dimensional":[112],"samples.":[113],"In":[114],"algorithm,":[116],"initialize":[118],"dictionaries":[119,126,136],"using":[120],"Tucker":[121],"decomposition":[122],"update":[124],"K":[130],"higher-order":[131],"singular":[132],"value":[133],"decomposition.":[134],"are":[137,141,203,241],"extractors,":[139],"which":[140,195],"used":[142],"extract":[144],"To":[155],"results,":[158],"support":[160],"vector":[161],"machine":[162],"as":[163,220,222],"classifier":[165],"applied":[167],"features.":[171],"majority":[176],"vote":[177],"(TDSLMV)":[178],"reduce":[180],"misclassified":[182],"pixels":[183],"in":[184],"homogenous":[185,193],"regions":[186],"at":[188,244],"edges":[190],"regions,":[194],"further":[196],"refines":[197],"proposed":[201,239],"methods":[202,240],"evaluated":[204],"Indian":[206],"Pines,":[207],"Pavia":[208],"University,":[209],"Houston2013":[211],"datasets.":[212],"results":[215],"show":[216],"that":[217],"TDSLMV":[218],"achieves":[219],"high":[221],"99.13%,":[223],"99.28%,":[224],"99.76%":[226],"accuracies,":[227],"respectively.":[228],"Compared":[229],"several":[231],"state-of-the-art":[232],"methods,":[233],"accuracies":[236],"improved":[242],"least":[245],"2.5%.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
