{"id":"https://openalex.org/W4378229486","doi":"https://doi.org/10.3390/rs15112734","title":"Reconstruction of Compressed Hyperspectral Image Using SqueezeNet Coupled Dense Attentional Net","display_name":"Reconstruction of Compressed Hyperspectral Image Using SqueezeNet Coupled Dense Attentional Net","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4378229486","doi":"https://doi.org/10.3390/rs15112734"},"language":"en","primary_location":{"id":"doi:10.3390/rs15112734","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112734","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2734/pdf?version=1684938121","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/2072-4292/15/11/2734/pdf?version=1684938121","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054948967","display_name":"Divya Mohan","orcid":"https://orcid.org/0000-0002-5988-3851"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Divya Mohan","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069611643","display_name":"J Aravinth","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"J. Aravinth","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042396632","display_name":"Sankaran Rajendran","orcid":"https://orcid.org/0000-0002-9371-9908"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Sankaran Rajendran","raw_affiliation_strings":["Environmental Science Center, Qatar University, P.B. No. 2713, Doha 2713, Qatar"],"affiliations":[{"raw_affiliation_string":"Environmental Science Center, Qatar University, P.B. No. 2713, Doha 2713, Qatar","institution_ids":["https://openalex.org/I60342839"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069611643"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.7004,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86375278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":"11","first_page":"2734","last_page":"2734"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7595117092132568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7455512285232544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7372819185256958},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5761815309524536},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4949910044670105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46674686670303345},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4548635184764862},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.44835031032562256},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.44796022772789},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2698100805282593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19522270560264587},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07449668645858765}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7595117092132568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7455512285232544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7372819185256958},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5761815309524536},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4949910044670105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46674686670303345},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4548635184764862},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.44835031032562256},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.44796022772789},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2698100805282593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19522270560264587},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07449668645858765}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs15112734","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112734","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2734/pdf?version=1684938121","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:107dd28b60ff4e6b96058525c2a3dd6a","is_oa":true,"landing_page_url":"https://doaj.org/article/107dd28b60ff4e6b96058525c2a3dd6a","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 15, Iss 11, p 2734 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/11/2734/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15112734","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; Volume 15; Issue 11; Pages: 2734","raw_type":"Text"},{"id":"pmh:oai:qspace.qu.edu.qa:10576/56511","is_oa":false,"landing_page_url":"http://hdl.handle.net/10576/56511","pdf_url":null,"source":{"id":"https://openalex.org/S4306400014","display_name":"Qatar University QSpace (Qatar University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60342839","host_organization_name":"Qatar University","host_organization_lineage":["https://openalex.org/I60342839"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.3390/rs15112734","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112734","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2734/pdf?version=1684938121","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4378229486.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W2352616222","https://openalex.org/W2466594406","https://openalex.org/W2520430674","https://openalex.org/W2624915162","https://openalex.org/W2729302458","https://openalex.org/W2759949249","https://openalex.org/W2775183886","https://openalex.org/W2793515883","https://openalex.org/W2807985287","https://openalex.org/W2909997923","https://openalex.org/W2947356357","https://openalex.org/W2956104838","https://openalex.org/W2962747489","https://openalex.org/W2969586292","https://openalex.org/W2973732467","https://openalex.org/W2990360114","https://openalex.org/W2993134750","https://openalex.org/W3007139997","https://openalex.org/W3045794825","https://openalex.org/W3084506830","https://openalex.org/W3087931076","https://openalex.org/W3088690709","https://openalex.org/W3099239430","https://openalex.org/W3101913580","https://openalex.org/W3103919952","https://openalex.org/W3115977687","https://openalex.org/W3129962368","https://openalex.org/W3134490757","https://openalex.org/W3152259323","https://openalex.org/W3154593456","https://openalex.org/W3160961055","https://openalex.org/W3163979703","https://openalex.org/W3168131970","https://openalex.org/W3179808591","https://openalex.org/W3205622792","https://openalex.org/W3209199397","https://openalex.org/W4280490461","https://openalex.org/W4307957701","https://openalex.org/W4318002442","https://openalex.org/W6767013536","https://openalex.org/W6770637018","https://openalex.org/W6793595854"],"related_works":["https://openalex.org/W3034655717","https://openalex.org/W2337415362","https://openalex.org/W2546645752","https://openalex.org/W4312857205","https://openalex.org/W121273120","https://openalex.org/W3173596272","https://openalex.org/W2740820121","https://openalex.org/W317572212","https://openalex.org/W2002009170","https://openalex.org/W2028628118"],"abstract_inverted_index":{"This":[0,210],"study":[1,184],"addresses":[2],"image":[3,55,60,84],"denoising":[4],"alongside":[5],"the":[6,19,33,65,82,102,127,130,149,164,190,199,208],"compression":[7,153],"and":[8,45,109,168,198],"reconstruction":[9,95],"of":[10,49,122,142,161,180,189],"hyperspectral":[11,30],"images":[12,151,171],"(HSIs)":[13],"using":[14,111,216],"deep":[15],"learning":[16],"techniques,":[17],"since":[18],"research":[20],"community":[21],"is":[22,36,61,71,85,202],"striving":[23],"to":[24,28,43,51,76,126,137,148,205],"produce":[25,77],"effective":[26,204],"results":[27,121],"utilize":[29,207],"data.":[31],"Here,":[32],"SqueezeNet":[34,123],"architecture":[35,124],"trained":[37],"with":[38,133,154,172],"a":[39,53,72,78,88,112,134,155,173,195],"Gaussian":[40],"noise":[41],"model":[42,93,166,201,211],"predict":[44],"discriminate":[46],"noisy":[47],"pixels":[48],"HSI":[50,217],"obtain":[52],"clean":[54],"as":[56],"output.":[57],"The":[58,120,145,183],"denoised":[59,131,150],"further":[62,206],"processed":[63],"by":[64,96],"tunable":[66],"spectral":[67],"filter":[68,75],"(TSF),":[69],"which":[70],"dual-level":[73,98],"prediction":[74,99],"compressed":[79,83],"image.":[80],"Subsequently,":[81,163],"analyzed":[86],"through":[87],"dense":[89],"attentional":[90],"net":[91],"(DAN)":[92],"for":[94,219],"reverse":[97],"operation.":[100],"All":[101],"proposed":[103,191],"mechanisms":[104],"are":[105],"employed":[106],"in":[107,194],"Python":[108],"evaluated":[110],"Ben-Gurion":[113],"University-Interdisciplinary":[114],"Computational":[115],"Vision":[116],"Laboratory":[117],"(BGU-ICVL)":[118],"dataset.":[119],"applied":[125],"dataset":[128],"produced":[129,169],"output":[132],"Peak":[135],"Signal":[136],"Noise":[138],"Ratio":[139],"(PSNR)":[140],"value":[141,160,179],"45.43":[143],"dB.":[144,182],"TSF":[146],"implemented":[147],"provided":[152],"Mean":[156],"Square":[157],"Error":[158],"(MSE)":[159],"8.334.":[162],"DAN":[165],"executed":[167],"reconstructed":[170],"Structural":[174],"Similarity":[175],"Index":[176],"Measure":[177],"(SSIM)":[178],"0.9964":[181],"proved":[185],"that":[186],"each":[187],"stage":[188],"approach":[192],"resulted":[193],"quality":[196],"output,":[197],"developed":[200],"more":[203],"HSI.":[209],"can":[212],"be":[213],"well":[214],"utilized":[215],"data":[218],"mineral":[220],"exploration.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2023-05-26T00:00:00"}
