{"id":"https://openalex.org/W4401330394","doi":"https://doi.org/10.3390/rs16152848","title":"SSANet-BS: Spectral\u2013Spatial Cross-Dimensional Attention Network for Hyperspectral Band Selection","display_name":"SSANet-BS: Spectral\u2013Spatial Cross-Dimensional Attention Network for Hyperspectral Band Selection","publication_year":2024,"publication_date":"2024-08-03","ids":{"openalex":"https://openalex.org/W4401330394","doi":"https://doi.org/10.3390/rs16152848"},"language":"en","primary_location":{"id":"doi:10.3390/rs16152848","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16152848","pdf_url":null,"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://doi.org/10.3390/rs16152848","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111280671","display_name":"Chuanyu Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuanyu Cui","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao 266071, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao 266071, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038163730","display_name":"Xudong Sun","orcid":"https://orcid.org/0000-0002-5870-6343"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Sun","raw_affiliation_strings":["School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114189298","display_name":"Baijia Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baijia Fu","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao 266071, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao 266071, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019546610","display_name":"Xiaodi Shang","orcid":"https://orcid.org/0000-0002-0133-8447"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiaodi Shang","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao 266071, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao 266071, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019546610"],"corresponding_institution_ids":[],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.9783,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.96550887,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"16","issue":"15","first_page":"2848","last_page":"2848"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9940000176429749,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9929999709129333,"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":0.7406066060066223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4237637519836426},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42274248600006104},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.38523370027542114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20791572332382202},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16486096382141113}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7406066060066223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4237637519836426},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42274248600006104},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.38523370027542114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20791572332382202},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16486096382141113}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16152848","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16152848","pdf_url":null,"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:2380040253b34f058fbde34b0f0e8065","is_oa":true,"landing_page_url":"https://doaj.org/article/2380040253b34f058fbde34b0f0e8065","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 15, p 2848 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16152848","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16152848","pdf_url":null,"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":[],"awards":[{"id":"https://openalex.org/G1490032772","display_name":null,"funder_award_id":"QDBSH20230101012","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G1808235500","display_name":null,"funder_award_id":"2023M731843","funder_id":"https://openalex.org/F4320336653","funder_display_name":"Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China"},{"id":"https://openalex.org/G2085707980","display_name":null,"funder_award_id":"23-2-1-64-zyyd-jch","funder_id":"https://openalex.org/F4320328636","funder_display_name":"Natural Science Foundation of Qingdao"},{"id":"https://openalex.org/G2533146198","display_name":null,"funder_award_id":"2023KJ232","funder_id":"https://openalex.org/F4320336653","funder_display_name":"Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China"},{"id":"https://openalex.org/G3006253990","display_name":null,"funder_award_id":"2023KJ232","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4058862543","display_name":null,"funder_award_id":"QDBSH20230101012","funder_id":"https://openalex.org/F4320336653","funder_display_name":"Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China"},{"id":"https://openalex.org/G4182923925","display_name":null,"funder_award_id":"QDBSH20230101012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4441861990","display_name":null,"funder_award_id":"2023M731843","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G544197034","display_name":null,"funder_award_id":"2023M731843","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6464568529","display_name":null,"funder_award_id":"23-2-1-64-zyyd-jch","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6727108774","display_name":null,"funder_award_id":"2023KJ232","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6979115965","display_name":null,"funder_award_id":"23-2-1-64-zyyd-jch","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7152033512","display_name":null,"funder_award_id":"42301380","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G757150549","display_name":null,"funder_award_id":"23-2-1-64-zyyd-jch","funder_id":"https://openalex.org/F4320336653","funder_display_name":"Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China"},{"id":"https://openalex.org/G766214842","display_name":null,"funder_award_id":"42301380","funder_id":"https://openalex.org/F4320336653","funder_display_name":"Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China"},{"id":"https://openalex.org/G8013701996","display_name":null,"funder_award_id":"42301380","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320328636","display_name":"Natural Science Foundation of Qingdao","ror":null},{"id":"https://openalex.org/F4320336653","display_name":"Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1932531222","https://openalex.org/W2001141328","https://openalex.org/W2053186076","https://openalex.org/W2088657558","https://openalex.org/W2150990614","https://openalex.org/W2895598217","https://openalex.org/W2896193764","https://openalex.org/W2913960921","https://openalex.org/W2914205315","https://openalex.org/W2937638900","https://openalex.org/W2950325582","https://openalex.org/W2978620371","https://openalex.org/W3011069978","https://openalex.org/W3011660349","https://openalex.org/W3047358975","https://openalex.org/W3049737467","https://openalex.org/W3105005050","https://openalex.org/W3137544784","https://openalex.org/W3138516171","https://openalex.org/W3196181787","https://openalex.org/W3216703721","https://openalex.org/W4282970050","https://openalex.org/W4285111340","https://openalex.org/W4285187901","https://openalex.org/W4285264169","https://openalex.org/W4295290404","https://openalex.org/W4312992590","https://openalex.org/W4313032421","https://openalex.org/W4315473456","https://openalex.org/W4327662581","https://openalex.org/W4360584432","https://openalex.org/W4376623580","https://openalex.org/W4380079737","https://openalex.org/W4385518061","https://openalex.org/W4386487764","https://openalex.org/W4387717517","https://openalex.org/W4388505180","https://openalex.org/W4389514478","https://openalex.org/W4390311949","https://openalex.org/W4391559607","https://openalex.org/W4393478853","https://openalex.org/W4394585945","https://openalex.org/W4395017283","https://openalex.org/W4397026193","https://openalex.org/W4400489219","https://openalex.org/W4400876849","https://openalex.org/W4404056517","https://openalex.org/W6804558571","https://openalex.org/W6839224067","https://openalex.org/W6839631182","https://openalex.org/W6848681095","https://openalex.org/W6849117567","https://openalex.org/W6850216434","https://openalex.org/W6855995741","https://openalex.org/W6857058975","https://openalex.org/W6857654120","https://openalex.org/W6860025002","https://openalex.org/W6861022090","https://openalex.org/W6863869364","https://openalex.org/W6864413048"],"related_works":["https://openalex.org/W4391375266","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","https://openalex.org/W1991437568"],"abstract_inverted_index":{"Band":[0],"selection":[1],"(BS)":[2],"aims":[3],"to":[4,68,113,116,131],"reduce":[5],"redundancy":[6],"in":[7,18,90,101],"hyperspectral":[8,150],"imagery":[9],"(HSI).":[10],"Existing":[11],"BS":[12,40],"approaches":[13],"typically":[14],"model":[15],"HSI":[16],"only":[17],"a":[19,44,58,92],"single":[20],"dimension,":[21],"either":[22],"spectral":[23],"or":[24],"spatial,":[25],"without":[26],"exploring":[27],"the":[28,102,110,117,128,134,137,153],"interactions":[29],"between":[30],"different":[31],"dimensions.":[32],"To":[33],"this":[34],"end,":[35],"we":[36],"propose":[37],"an":[38,65],"unsupervised":[39],"method":[41],"based":[42],"on":[43,147],"spectral\u2013spatial":[45,78,85,98],"cross-dimensional":[46],"attention":[47,60,66,79],"network,":[48],"named":[49],"SSANet-BS.":[50,156],"This":[51],"network":[52,95],"is":[53],"comprised":[54],"of":[55,125,136,155],"three":[56],"stages:":[57],"band":[59],"module":[61],"(BAM)":[62],"that":[63,96],"employs":[64],"mechanism":[67],"adaptively":[69],"identify":[70],"and":[71,108],"select":[72],"highly":[73],"significant":[74],"bands;":[75],"two":[76],"parallel":[77],"modules":[80],"(SSAMs),":[81],"which":[82],"fuse":[83],"complex":[84],"structural":[86],"information":[87],"across":[88],"dimensions":[89],"HSI;":[91],"multi-scale":[93],"reconstruction":[94],"learns":[97],"nonlinear":[99],"dependencies":[100],"SSAM-fusion":[103],"image":[104],"at":[105],"various":[106],"scales":[107],"guides":[109],"BAM":[111,129],"weights":[112,130],"automatically":[114],"converge":[115],"target":[118],"bands":[119,141],"via":[120],"backpropagation.":[121],"The":[122],"three-stage":[123],"structure":[124],"SSANet-BS":[126],"enables":[127],"fully":[132],"represent":[133],"saliency":[135],"bands,":[138],"thereby":[139],"valuable":[140],"are":[142],"obtained":[143],"automatically.":[144],"Experimental":[145],"results":[146],"four":[148],"real":[149],"datasets":[151],"demonstrate":[152],"effectiveness":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2024-08-06T00:00:00"}