{"id":"https://openalex.org/W4210785162","doi":"https://doi.org/10.1109/tsp.2022.3144954","title":"Hyperspectral Image Classification Using Adaptive Weighted Quaternion Zernike Moments","display_name":"Hyperspectral Image Classification Using Adaptive Weighted Quaternion Zernike Moments","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4210785162","doi":"https://doi.org/10.1109/tsp.2022.3144954"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2022.3144954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3144954","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-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/A5101510401","display_name":"Huizhen Li","orcid":"https://orcid.org/0000-0002-2398-5565"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huizhen Li","raw_affiliation_strings":["Institute of Medical Technology, Peking University Health Science Center, Beijing, China","Research Center for Applied Mathematics and Interdisciplinary Sciences, School of Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2398-5565","affiliations":[{"raw_affiliation_string":"Institute of Medical Technology, Peking University Health Science Center, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Research Center for Applied Mathematics and Interdisciplinary Sciences, School of Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102893033","display_name":"Hua Huang","orcid":"https://orcid.org/0000-0003-0424-2819"},"institutions":[{"id":"https://openalex.org/I4210100789","display_name":"Wuhan College","ror":"https://ror.org/01dashf18","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210100789"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Huang","raw_affiliation_strings":["School of Information Engineering, Wuhan College, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0424-2819","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Wuhan College, Wuhan, China","institution_ids":["https://openalex.org/I4210100789"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075247836","display_name":"Zhijing Ye","orcid":"https://orcid.org/0000-0002-0369-4795"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijing Ye","raw_affiliation_strings":["School of Science, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0369-4795","affiliations":[{"raw_affiliation_string":"School of Science, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100615431","display_name":"Hongfeng Li","orcid":"https://orcid.org/0000-0003-4589-3116"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfeng Li","raw_affiliation_strings":["Institute of Medical Technology, Peking University Health Science Center, Beijing, China","Research Center for Applied Mathematics and Interdisciplinary Sciences, School of Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4589-3116","affiliations":[{"raw_affiliation_string":"Institute of Medical Technology, Peking University Health Science Center, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Research Center for Applied Mathematics and Interdisciplinary Sciences, School of Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, China","institution_ids":["https://openalex.org/I4210119942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9215,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86891132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"701","last_page":"713"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9979000091552734,"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":0.9700000286102295,"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":0.7730092406272888},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7170565724372864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6913162469863892},{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.6854520440101624},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6834923028945923},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6066493391990662},{"id":"https://openalex.org/keywords/zernike-polynomials","display_name":"Zernike polynomials","score":0.5265253782272339},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5190216302871704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4947311580181122},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47875991463661194},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.44512152671813965},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3325260877609253},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30767321586608887},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.12997862696647644}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7730092406272888},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7170565724372864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6913162469863892},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.6854520440101624},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6834923028945923},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6066493391990662},{"id":"https://openalex.org/C92423082","wikidata":"https://www.wikidata.org/wiki/Q132146","display_name":"Zernike polynomials","level":3,"score":0.5265253782272339},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5190216302871704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4947311580181122},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47875991463661194},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.44512152671813965},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3325260877609253},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30767321586608887},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.12997862696647644},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2022.3144954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3144954","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1722265900","display_name":null,"funder_award_id":"2020CFB136","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G2656178919","display_name":null,"funder_award_id":"2021IVB028","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2691469523","display_name":null,"funder_award_id":"62001337","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5351123419","display_name":null,"funder_award_id":"11701018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6757365206","display_name":null,"funder_award_id":"205103","funder_id":"https://openalex.org/F4320327462","funder_display_name":"Wuhan Textile University"},{"id":"https://openalex.org/G753395838","display_name":null,"funder_award_id":"12090022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8609909714","display_name":null,"funder_award_id":"B2021365","funder_id":"https://openalex.org/F4320313620","funder_display_name":"Hubei Provincial Department of Education"}],"funders":[{"id":"https://openalex.org/F4320313620","display_name":"Hubei Provincial Department of Education","ror":"https://ror.org/05yaa9j15"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320327462","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1929494421","https://openalex.org/W1979473816","https://openalex.org/W1998242976","https://openalex.org/W2055783626","https://openalex.org/W2056621966","https://openalex.org/W2097915756","https://openalex.org/W2098057602","https://openalex.org/W2109836508","https://openalex.org/W2136251662","https://openalex.org/W2150238095","https://openalex.org/W2151152572","https://openalex.org/W2152951176","https://openalex.org/W2229916477","https://openalex.org/W2553223177","https://openalex.org/W2595902385","https://openalex.org/W2598997103","https://openalex.org/W2623780987","https://openalex.org/W2782356138","https://openalex.org/W2782420567","https://openalex.org/W2791688134","https://openalex.org/W2791709203","https://openalex.org/W2801324747","https://openalex.org/W2803216379","https://openalex.org/W2809635958","https://openalex.org/W2890369013","https://openalex.org/W2892850415","https://openalex.org/W2899003677","https://openalex.org/W2910259740","https://openalex.org/W2911113196","https://openalex.org/W2912961521","https://openalex.org/W2923872554","https://openalex.org/W2949343319","https://openalex.org/W2952791331","https://openalex.org/W2962895826","https://openalex.org/W2979945144","https://openalex.org/W2981394989","https://openalex.org/W2990095910","https://openalex.org/W2990201147","https://openalex.org/W2999789528","https://openalex.org/W3004433344","https://openalex.org/W3009291362","https://openalex.org/W3015944034","https://openalex.org/W3022984473","https://openalex.org/W3035015656","https://openalex.org/W3048764277","https://openalex.org/W3092753424","https://openalex.org/W4233520335","https://openalex.org/W4320339642"],"related_works":["https://openalex.org/W1997638723","https://openalex.org/W2547138831","https://openalex.org/W2061580049","https://openalex.org/W2067788074","https://openalex.org/W2183108721","https://openalex.org/W3160617640","https://openalex.org/W2073465494","https://openalex.org/W3141187597","https://openalex.org/W2761785940","https://openalex.org/W2129933262"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1,12],"classification":[2,24,178,194],"(HSI)":[3],"has":[4],"been":[5],"widely":[6],"used":[7],"in":[8,51,75,115],"many":[9],"fields.":[10],"However,":[11],"noise,":[13],"atmospheric":[14],"conditions,":[15],"material":[16],"distribution":[17],"and":[18,57,101,130,143,150,163,169],"other":[19,197],"factors":[20],"seriously":[21],"degrade":[22],"the":[23,60,66,76,93,98,102,110,127,132,138,145,151,158,166,189],"accuracy":[25],"of":[26,59,87,95,104,119,134,147,153],"HSIs.":[27],"To":[28],"alleviate":[29],"these":[30],"issues,":[31],"a":[32,116,122],"new":[33],"approach,":[34],"namely":[35],"adaptive":[36],"weighted":[37],"quaternion":[38,154],"Zernike":[39],"moments":[40],"(AWQZM),":[41],"is":[42],"proposed,":[43],"which":[44,78],"extracts":[45],"effective":[46],"spatial-spectral":[47],"features":[48,160,168,171],"for":[49,72,84],"pixels":[50,96,105],"HSI":[52,177],"classification.":[53],"The":[54],"main":[55],"contributions":[56],"novelties":[58],"method":[61],"are":[62,172],"as":[63],"follows:":[64],"1)":[65],"AWQZM":[67,111],"can":[68,81,91,112,136],"adaptively":[69],"set":[70],"weights":[71],"each":[73],"pixel":[74],"neighborhood,":[77],"not":[79],"only":[80],"flexibly":[82],"search":[83],"homogeneous":[85],"regions":[86],"HSIs,":[88],"but":[89],"also":[90],"strengthen":[92],"similarity":[94],"from":[97,106],"same":[99],"class":[100],"distinctiveness":[103],"different":[107],"classes;":[108],"2)":[109],"be":[113],"constructed":[114],"small":[117],"subset":[118],"bands":[120,142],"through":[121],"grouping":[123],"strategy,":[124],"thereby":[125],"reducing":[126],"computational":[128],"complexity;":[129],"3)":[131],"introduction":[133],"quaternions":[135],"preserve":[137],"spatial":[139,170],"correlation":[140],"among":[141],"reduce":[144],"loss":[146],"data":[148,185],"information,":[149],"use":[152],"phase":[155],"information":[156],"makes":[157],"extracted":[159],"more":[161],"informative":[162],"discriminative.":[164],"Moreover,":[165],"spectral":[167],"combined":[173],"to":[174],"achieve":[175],"better":[176,193],"results.":[179],"Experimental":[180],"results":[181],"on":[182],"three":[183],"benchmark":[184],"sets":[186],"demonstrate":[187],"that":[188],"proposed":[190],"approach":[191],"achieves":[192],"performance":[195],"than":[196],"related":[198],"approaches.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}