{"id":"https://openalex.org/W4391559607","doi":"https://doi.org/10.1109/tgrs.2024.3362994","title":"A Cross-Scene Self-Representative Network for Hyperspectral Band Selection","display_name":"A Cross-Scene Self-Representative Network for Hyperspectral Band Selection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391559607","doi":"https://doi.org/10.1109/tgrs.2024.3362994"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3362994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3362994","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5050009113","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0003-3399-7858"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Sun","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0003-3399-7858","affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102006830","display_name":"Ke He","orcid":"https://orcid.org/0000-0002-9427-7048"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke He","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-9427-7048","affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074018705","display_name":"Gang Yang","orcid":"https://orcid.org/0000-0002-7001-2037"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Yang","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-7001-2037","affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036030486","display_name":"Jiangtao Peng","orcid":"https://orcid.org/0000-0002-4759-0584"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Peng","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","Faculty of Mathematics and Statistics, Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4759-0584","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"Faculty of Mathematics and Statistics, Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109371354","display_name":"Jiancheng Li","orcid":"https://orcid.org/0000-0002-4475-8900"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Ren","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109371354","display_name":"Jiancheng Li","orcid":"https://orcid.org/0000-0002-4475-8900"},"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":"Jiancheng Li","raw_affiliation_strings":["School of Geodesy and Geomatics, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4475-8900","affiliations":[{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0087,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87258984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9950000047683716,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8626418709754944},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6775877475738525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6482874155044556},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5504888892173767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4609847962856293},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2328546643257141}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8626418709754944},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6775877475738525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6482874155044556},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5504888892173767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4609847962856293},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2328546643257141}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3362994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3362994","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3444851507","display_name":null,"funder_award_id":"2021Z107","funder_id":"https://openalex.org/F4320336552","funder_display_name":"Science and Technology Innovation 2025 Major Project of Ningbo"},{"id":"https://openalex.org/G5274429011","display_name":null,"funder_award_id":"2022Z032","funder_id":"https://openalex.org/F4320336552","funder_display_name":"Science and Technology Innovation 2025 Major Project of Ningbo"},{"id":"https://openalex.org/G6018312188","display_name":null,"funder_award_id":"2023YFF1305600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7524409454","display_name":null,"funder_award_id":"42122009","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336552","display_name":"Science and Technology Innovation 2025 Major Project of Ningbo","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1932531222","https://openalex.org/W1980007140","https://openalex.org/W2071821878","https://openalex.org/W2073827457","https://openalex.org/W2288723698","https://openalex.org/W2292865806","https://openalex.org/W2311217941","https://openalex.org/W2340318445","https://openalex.org/W2542500166","https://openalex.org/W2747189523","https://openalex.org/W2793357412","https://openalex.org/W2799954862","https://openalex.org/W2901895814","https://openalex.org/W2908955282","https://openalex.org/W2913960921","https://openalex.org/W2937638900","https://openalex.org/W2940526373","https://openalex.org/W2946787697","https://openalex.org/W2950325582","https://openalex.org/W2953423780","https://openalex.org/W2958108982","https://openalex.org/W2985299909","https://openalex.org/W2997272341","https://openalex.org/W3034054712","https://openalex.org/W3039321110","https://openalex.org/W3046819794","https://openalex.org/W3105005050","https://openalex.org/W3105100264","https://openalex.org/W3119997721","https://openalex.org/W3120808882","https://openalex.org/W3126446412","https://openalex.org/W3137525302","https://openalex.org/W3138725786","https://openalex.org/W3168931281","https://openalex.org/W3169968581","https://openalex.org/W3178695133","https://openalex.org/W3183430956","https://openalex.org/W3195258402","https://openalex.org/W3201461236","https://openalex.org/W3207486396","https://openalex.org/W4226438862","https://openalex.org/W4285277843","https://openalex.org/W4292387155","https://openalex.org/W4312772581","https://openalex.org/W4384304527"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,134,142],"novel":[4],"deep":[5,46],"learning-based":[6,47],"framework":[7],"for":[8,49,127],"hyperspectral":[9,51],"band":[10,32,52,136],"selection,":[11],"named":[12],"Cross-Scene":[13],"Self-Representative":[14],"Network":[15],"(CSSRnet).":[16],"The":[17],"proposed":[18],"method":[19,144],"leverages":[20],"the":[21,25,31,35,44,55,63,72,86,90,98,106,116,128,162,177,183,192],"rich":[22],"labels":[23],"of":[24,66,93,109,120,164,179,194],"source":[26],"domain":[27,37],"(SD)":[28],"to":[29,61,78,104,160],"guide":[30],"selection":[33],"in":[34,186],"target":[36],"(TD).":[38],"To":[39,114],"our":[40],"knowledge,":[41],"CSSRnet":[42,56],"is":[43,102,138],"first":[45],"solution":[48],"cross-scene":[50,175,180],"selection.":[53],"First,":[54],"employs":[57],"contextual":[58,83],"attention":[59],"mechanism":[60,74],"capture":[62,79],"latent":[64],"features":[65],"SD":[67,94,111,129],"and":[68,81,95,112,118,130,182],"TD.":[69,96,113],"It":[70],"combines":[71],"self-attention":[73],"with":[75],"convolutional":[76],"operations":[77],"static":[80],"dynamic":[82],"information.":[84],"Then,":[85],"self-representative":[87,91,107,153],"layer":[88],"provides":[89],"coefficient":[92,154],"Subsequently,":[97],"maximum":[99],"mean":[100],"difference":[101],"utilized":[103],"align":[105],"coefficients":[108],"both":[110],"enhance":[115],"representativeness":[117],"precision":[119],"these":[121],"coefficients,":[122],"we":[123],"introduce":[124],"different":[125],"tasks":[126],"TD":[131],"branches.":[132],"Finally,":[133],"suitable":[135],"subset":[137],"selected":[139],"based":[140],"on":[141,169],"ranking":[143],"that":[145],"evaluates":[146],"each":[147],"band\u2019s":[148],"importance":[149],"by":[150],"considering":[151],"its":[152],"matrix.":[155],"Experiments":[156],"are":[157],"carried":[158],"out":[159],"assess":[161],"efficacy":[163],"CSSRnet.":[165,195],"These":[166],"experiments":[167],"focus":[168],"evaluating":[170],"classification":[171],"accuracy":[172],"across":[173],"various":[174],"datasets,":[176],"utility":[178],"concepts,":[181],"practical":[184],"application":[185],"coastal":[187],"wetland.":[188],"Experimental":[189],"results":[190],"confirm":[191],"effectiveness":[193]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}