{"id":"https://openalex.org/W4408780463","doi":"https://doi.org/10.1109/lgrs.2025.3554265","title":"Hyperspectral Band Selection via Structural Correlation and Information Measures","display_name":"Hyperspectral Band Selection via Structural Correlation and Information Measures","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408780463","doi":"https://doi.org/10.1109/lgrs.2025.3554265"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3554265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3554265","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5100406514","display_name":"Zijian Li","orcid":"https://orcid.org/0009-0007-6935-4244"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zijian Li","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0007-6935-4244","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742710","display_name":"Mi Wang","orcid":"https://orcid.org/0000-0003-2799-5987"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mi Wang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2799-5987","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084151176","display_name":"Shaoju Wang","orcid":"https://orcid.org/0009-0005-5730-1597"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoju Wang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","Institute of Aerospace Science and Technology, Hubei Luojia Laboratory, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0005-5730-1597","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Institute of Aerospace Science and Technology, Hubei Luojia Laboratory, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100406514"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":null,"apc_paid":null,"fwci":2.0545,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86495464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9747999906539917,"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":0.9747999906539917,"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/T13493","display_name":"Optical and Acousto-Optic Technologies","score":0.9435999989509583,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9180374145507812},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5890249013900757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5846484899520874},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5310267210006714},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4672653079032898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41933929920196533},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3832131624221802},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3380749821662903},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2274373471736908},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.198404461145401}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9180374145507812},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5890249013900757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5846484899520874},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5310267210006714},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4672653079032898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41933929920196533},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3832131624221802},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3380749821662903},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2274373471736908},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.198404461145401},{"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":[{"id":"doi:10.1109/lgrs.2025.3554265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3554265","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5974932335","display_name":null,"funder_award_id":"2022YFB3902804","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6342734848","display_name":null,"funder_award_id":"62425102","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1932531222","https://openalex.org/W2047029347","https://openalex.org/W2150566919","https://openalex.org/W2150990614","https://openalex.org/W2789249105","https://openalex.org/W2797621410","https://openalex.org/W2799954862","https://openalex.org/W2937638900","https://openalex.org/W2950325582","https://openalex.org/W2978620371","https://openalex.org/W3046819794","https://openalex.org/W3120808882","https://openalex.org/W3170347305","https://openalex.org/W4285113998","https://openalex.org/W4309047636","https://openalex.org/W4319069015","https://openalex.org/W4403181903"],"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/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190"],"abstract_inverted_index":{"Band":[0],"selection":[1,18,73],"is":[2,110,138],"an":[3],"effective":[4],"dimensionality":[5],"reduction":[6],"technique":[7],"for":[8],"hyperspectral":[9,71],"image":[10],"(HSI).":[11],"In":[12,42],"recent":[13],"years,":[14],"many":[15],"unsupervised":[16],"band":[17,72,133,137],"methods":[19,45],"have":[20],"been":[21],"proposed,":[22],"but":[23],"most":[24],"of":[25,53,146,148],"them":[26],"measure":[27],"the":[28,34,58,61,82,88,95,107,144,163],"similarity":[29,90,121],"between":[30,97],"bands":[31],"only":[32],"from":[33,143],"spectral":[35,54,100],"dimension,":[36],"ignoring":[37],"their":[38],"high":[39],"spatial":[40,102],"correlation.":[41],"addition,":[43],"these":[44,66],"provide":[46],"a":[47,70,131,135],"less":[48],"than":[49],"ideal":[50],"quantitative":[51],"description":[52],"information":[55,78,103,149],"and":[56,77,101,119,125],"neglect":[57],"redundancy":[59],"within":[60],"selected":[62,139],"bands.":[63],"To":[64],"address":[65],"issues,":[67],"we":[68],"propose":[69],"via":[74],"structural":[75,89],"correlation":[76,96],"measures":[79],"(SCIMs),":[80],"claiming":[81],"following":[83],"contributions:":[84],"1)":[85],"through":[86],"introducing":[87],"(SSIM)":[91],"index":[92],"to":[93,129],"assess":[94],"bands,":[98],"both":[99,117],"are":[104],"considered;":[105],"2)":[106],"HSI":[108,159],"cube":[109],"partitioned":[111],"into":[112],"several":[113],"groups":[114],"by":[115,123],"considering":[116],"intragroup":[118],"intergroup":[120],"measured":[122],"SSIM;":[124],"3)":[126],"in":[127,140],"order":[128],"obtain":[130],"high-quality":[132],"subset,":[134],"representative":[136],"each":[141],"group":[142],"point":[145],"view":[147],"as":[150,152],"well":[151],"redundancy.":[153],"The":[154],"experimental":[155],"results":[156],"on":[157],"three":[158],"datasets":[160],"show":[161],"that":[162],"proposed":[164],"method":[165],"has":[166],"significant":[167],"advantages":[168],"compared":[169],"with":[170],"competitors.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
