{"id":"https://openalex.org/W4396733989","doi":"https://doi.org/10.3390/rs16101657","title":"No-Reference Hyperspectral Image Quality Assessment via Ranking Feature Learning","display_name":"No-Reference Hyperspectral Image Quality Assessment via Ranking Feature Learning","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396733989","doi":"https://doi.org/10.3390/rs16101657"},"language":"en","primary_location":{"id":"doi:10.3390/rs16101657","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16101657","pdf_url":"https://www.mdpi.com/2072-4292/16/10/1657/pdf?version=1715155240","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/2072-4292/16/10/1657/pdf?version=1715155240","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100775015","display_name":"Yuyan Li","orcid":"https://orcid.org/0009-0009-9727-0157"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyan Li","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou 510555, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou 510555, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062882793","display_name":"Yubo Dong","orcid":"https://orcid.org/0009-0003-4452-5140"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Yubo Dong","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an 710068, China","School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore","School of Artificial Intelligence, Xidian University, Xi'an 710068, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an 710068, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an 710068, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059240938","display_name":"Haoyong Li","orcid":"https://orcid.org/0000-0003-2970-3554"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoyong Li","raw_affiliation_strings":["Academy of Advanced Interdisciplinary Research, Xidian University, Xi\u2019an 710071, China","Academy of Advanced Interdisciplinary Research, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"Academy of Advanced Interdisciplinary Research, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Academy of Advanced Interdisciplinary Research, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103135266","display_name":"Danhua Liu","orcid":"https://orcid.org/0000-0001-6823-6691"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danhua Liu","raw_affiliation_strings":["Pazhou Lab, Huangpu 510555, China","School of Artificial Intelligence, Xidian University, Xi\u2019an 710068, China","School of Artificial Intelligence, Xidian University, Xi'an 710068, China"],"affiliations":[{"raw_affiliation_string":"Pazhou Lab, Huangpu 510555, China","institution_ids":[]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an 710068, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an 710068, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102661556","display_name":"Xue Fang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang Xue","raw_affiliation_strings":["Beijing Institute of Space Mechanics and Electricity, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Space Mechanics and Electricity, Beijing 100094, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013772998","display_name":"Dahua Gao","orcid":"https://orcid.org/0000-0002-0900-0483"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dahua Gao","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an 710068, China","School of Artificial Intelligence, Xidian University, Xi'an 710068, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an 710068, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an 710068, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059240938"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.2025,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88681078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"16","issue":"10","first_page":"1657","last_page":"1657"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9993000030517578,"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":0.9909999966621399,"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":0.733315110206604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5198127031326294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5158323645591736},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5082178115844727},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5008199214935303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4965360760688782},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.4547812044620514},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40062272548675537},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16711148619651794},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.13330981135368347},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.042863816022872925}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.733315110206604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5198127031326294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5158323645591736},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5082178115844727},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5008199214935303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4965360760688782},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.4547812044620514},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40062272548675537},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16711148619651794},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.13330981135368347},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.042863816022872925},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs16101657","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16101657","pdf_url":"https://www.mdpi.com/2072-4292/16/10/1657/pdf?version=1715155240","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:5034a281fe7a43998824cc47f57df63d","is_oa":true,"landing_page_url":"https://doaj.org/article/5034a281fe7a43998824cc47f57df63d","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 10, p 1657 (2024)","raw_type":"article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/179758","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/179758","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"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":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.3390/rs16101657","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16101657","pdf_url":"https://www.mdpi.com/2072-4292/16/10/1657/pdf?version=1715155240","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/G134671799","display_name":null,"funder_award_id":"62205260","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2827990972","display_name":null,"funder_award_id":"62293483","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3685745771","display_name":null,"funder_award_id":"202306960040","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396733989.pdf"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1925324463","https://openalex.org/W2002498099","https://openalex.org/W2030270830","https://openalex.org/W2051596736","https://openalex.org/W2053514113","https://openalex.org/W2084591647","https://openalex.org/W2133665775","https://openalex.org/W2135364872","https://openalex.org/W2136251662","https://openalex.org/W2142843085","https://openalex.org/W2143668817","https://openalex.org/W2144412886","https://openalex.org/W2293524743","https://openalex.org/W2563786098","https://openalex.org/W2588000623","https://openalex.org/W2601517469","https://openalex.org/W2609359656","https://openalex.org/W2732721227","https://openalex.org/W2905544033","https://openalex.org/W2914913933","https://openalex.org/W2925250639","https://openalex.org/W2936679876","https://openalex.org/W2945162758","https://openalex.org/W2945242228","https://openalex.org/W2963975576","https://openalex.org/W2964065910","https://openalex.org/W3007002906","https://openalex.org/W3029960769","https://openalex.org/W3096654432","https://openalex.org/W3118496544","https://openalex.org/W3138516171","https://openalex.org/W3160949528","https://openalex.org/W3173125503","https://openalex.org/W3204198763","https://openalex.org/W4214504793","https://openalex.org/W4226277663","https://openalex.org/W4233367343","https://openalex.org/W4281383159","https://openalex.org/W4292261379","https://openalex.org/W4292794818","https://openalex.org/W4312380264","https://openalex.org/W4312628443","https://openalex.org/W4362683589","https://openalex.org/W4386071946","https://openalex.org/W4392543750","https://openalex.org/W4392940549","https://openalex.org/W6681067747","https://openalex.org/W6739901393","https://openalex.org/W6762134019","https://openalex.org/W6772659822","https://openalex.org/W6842226967","https://openalex.org/W6860381618","https://openalex.org/W6862107077"],"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/W2070598848","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568"],"abstract_inverted_index":{"In":[0,95],"hyperspectral":[1],"image":[2,222],"(HSI)":[3],"reconstruction":[4,90],"tasks,":[5],"due":[6,39],"to":[7,40,78,87,145,155,168,182],"the":[8,41,44,49,53,58,68,72,89,114,118,121,125,129,135,147,170,174,179,184,187,190,194,198,213,228,231],"lack":[9],"of":[10,92,120,124,152,173,189,201],"ground":[11],"truth":[12],"in":[13,242],"real":[14,30,34,50,64],"imaging":[15,36,46,51],"processes,":[16],"models":[17],"are":[18],"usually":[19],"trained":[20],"and":[21,26,48,128,193],"validated":[22,56],"on":[23,29,57,63],"simulation":[24,45,59],"datasets":[25],"then":[27],"tested":[28],"measurements":[31],"captured":[32],"by":[33,133],"HSI":[35,83,103],"systems.":[37],"However,":[38],"gap":[42],"between":[43,117,186],"process":[47],"process,":[52],"best":[54,69],"model":[55,70],"dataset":[60],"may":[61],"fail":[62],"measurements.":[65],"To":[66],"obtain":[67],"for":[71,239],"real-world":[73,243],"task,":[74],"it":[75],"is":[76],"crucial":[77],"design":[79],"a":[80,100,141,165,237],"suitable":[81],"no-reference":[82,102],"quality":[84,104,162,223],"assessment":[85,105,199,224],"metric":[86,106,215,233],"reflect":[88],"performance":[91],"different":[93],"models.":[94],"this":[96],"paper,":[97],"we":[98,139,160,177],"propose":[99,140],"novel":[101],"via":[107],"ranking":[108,163],"feature":[109],"learning":[110],"(R-NHSIQA),":[111],"which":[112],"calculates":[113],"Wasserstein":[115,180],"distance":[116,181,185],"distribution":[119,188],"deep":[122,150,158,191],"features":[123,151,192],"reconstructed":[126],"HSIs":[127],"benchmark":[130,195],"distribution.":[131],"Additionally,":[132],"introducing":[134],"spectral":[136],"self-attention":[137],"mechanism,":[138],"Spectral":[142],"Transformer":[143],"(S-Transformer)":[144],"extract":[146,156],"spatial-spectral":[148],"representative":[149],"HSIs.":[153],"Furthermore,":[154],"quality-sensitive":[157],"features,":[159],"use":[161],"as":[164,236],"pre-training":[166],"task":[167],"enhance":[169],"representation":[171],"capability":[172],"S-Transformer.":[175],"Finally,":[176],"introduce":[178],"measure":[183],"distribution,":[196],"improving":[197],"capacity":[200],"our":[202],"method,":[203],"even":[204],"with":[205,219],"non-overlapping":[206],"distributions.":[207],"The":[208],"experimental":[209],"results":[210,218],"demonstrate":[211],"that":[212,230],"proposed":[214,232],"yields":[216],"consistent":[217],"multiple":[220],"full-reference":[221],"(FR-IQA)":[225],"metrics,":[226],"validating":[227],"idea":[229],"can":[234],"serve":[235],"substitute":[238],"FR-IQA":[240],"metrics":[241],"tasks.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
