{"id":"https://openalex.org/W4366211316","doi":"https://doi.org/10.3390/rs15082110","title":"SAR Image Quality Assessment: From Sample-Wise to Class-Wise","display_name":"SAR Image Quality Assessment: From Sample-Wise to Class-Wise","publication_year":2023,"publication_date":"2023-04-17","ids":{"openalex":"https://openalex.org/W4366211316","doi":"https://doi.org/10.3390/rs15082110"},"language":"en","primary_location":{"id":"doi:10.3390/rs15082110","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15082110","pdf_url":"https://www.mdpi.com/2072-4292/15/8/2110/pdf?version=1681716699","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/2072-4292/15/8/2110/pdf?version=1681716699","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000777340","display_name":"Ziyi Yu","orcid":"https://orcid.org/0009-0002-0431-1570"},"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":"Ziyi Yu","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034852790","display_name":"Ganggang Dong","orcid":"https://orcid.org/0000-0002-1527-2426"},"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":"Ganggang Dong","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100411968","display_name":"Hongwei Liu","orcid":"https://orcid.org/0000-0003-4046-163X"},"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":"Hongwei Liu","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034852790"],"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":3.5294,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91814979,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"15","issue":"8","first_page":"2110","last_page":"2110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9983000159263611,"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/computer-science","display_name":"Computer science","score":0.7506643533706665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.653121292591095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5517569780349731},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5396924018859863},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4651162922382355},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.44953539967536926},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.43977367877960205},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4302675127983093},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3934628665447235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37175852060317993},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3691294193267822},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.24111434817314148}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7506643533706665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.653121292591095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5517569780349731},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5396924018859863},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4651162922382355},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44953539967536926},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.43977367877960205},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4302675127983093},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3934628665447235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37175852060317993},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3691294193267822},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.24111434817314148},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15082110","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15082110","pdf_url":"https://www.mdpi.com/2072-4292/15/8/2110/pdf?version=1681716699","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:68a636d2250e4501a727139b9ac29153","is_oa":true,"landing_page_url":"https://doaj.org/article/68a636d2250e4501a727139b9ac29153","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 8, p 2110 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/8/2110/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15082110","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 8; Pages: 2110","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15082110","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15082110","pdf_url":"https://www.mdpi.com/2072-4292/15/8/2110/pdf?version=1681716699","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":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G2307750574","display_name":null,"funder_award_id":"61525105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6570573548","display_name":null,"funder_award_id":"61971324","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"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366211316.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2133665775","https://openalex.org/W2187089797","https://openalex.org/W2548288156","https://openalex.org/W2763179913","https://openalex.org/W2931068004","https://openalex.org/W2962782951","https://openalex.org/W2963290659","https://openalex.org/W2981798583","https://openalex.org/W2997085028","https://openalex.org/W3003337093","https://openalex.org/W3028550301","https://openalex.org/W3096831136","https://openalex.org/W3126355132","https://openalex.org/W3176963665","https://openalex.org/W3201596826","https://openalex.org/W4301206121","https://openalex.org/W4312467456","https://openalex.org/W4313138325","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W4281727072","https://openalex.org/W2560201613","https://openalex.org/W2466958844","https://openalex.org/W2804751933","https://openalex.org/W2245293081","https://openalex.org/W1973829424","https://openalex.org/W3209787365","https://openalex.org/W1963681152","https://openalex.org/W4287019296"],"abstract_inverted_index":{"Target":[0],"recognition":[1],"is":[2,25,68,95,103,149,177],"the":[3,17,49,73,84,89,108,112,130,154,158,162,166,174,181,185,196],"core":[4],"application":[5,182],"of":[6,23,32,75,105,157,161,184],"radar":[7],"image":[8,141,164],"interpretation.":[9],"In":[10],"recent":[11],"years,":[12],"deep":[13],"learning":[14],"has":[15],"become":[16],"mainstream":[18],"solution.":[19],"However,":[20,78],"this":[21,98],"family":[22],"methods":[24],"highly":[26],"dependent":[27],"on":[28],"a":[29,91,145],"great":[30],"deal":[31],"training":[33],"samples.":[34],"Limited":[35],"samples":[36,59],"may":[37],"lead":[38],"to":[39,71,151,179,194],"problems":[40],"such":[41],"as":[42],"underfitting":[43],"and":[44,111,140,165],"poor":[45],"robustness.":[46],"To":[47,87],"solve":[48],"problem,":[50],"numerous":[51],"generative":[52],"models":[53],"have":[54],"been":[55],"presented.":[56],"The":[57,100,115,126],"generated":[58],"played":[60],"an":[61],"important":[62],"role":[63],"in":[64,83,97],"target":[65,167],"recognition.":[66],"It":[67,148],"therefore":[69],"needed":[70],"assess":[72],"quality":[74],"simulated":[76,116,186],"images.":[77],"few":[79],"studies":[80],"were":[81],"performed":[82,193],"preceding":[85],"works.":[86],"fill":[88],"gap,":[90],"new":[92],"evaluation":[93],"strategy":[94],"proposed":[96,101,197],"paper.":[99],"method":[102],"composed":[104],"two":[106,123],"schemes:":[107],"sample-wise":[109,127],"assessment":[110,128,176],"class-wise":[113,175],"one.":[114],"images":[117,187],"can":[118],"then":[119],"be":[120],"evaluated":[121],"from":[122],"different":[124],"perspectives.":[125],"combines":[129],"Fisher":[131],"separability":[132],"criterion,":[133],"fuzzy":[134],"comprehensive":[135],"evaluation,":[136],"analytic":[137],"hierarchy":[138],"process,":[139],"feature":[142],"extraction":[143],"into":[144],"unified":[146],"framework.":[147],"used":[150],"evaluate":[152],"whether":[153],"relative":[155],"intensity":[156],"speckle":[159],"noise":[160],"SAR":[163],"backscattering":[168],"coefficients":[169],"are":[170,192],"well":[171],"simulated.":[172],"Contrarily,":[173],"designed":[178],"compare":[180],"capability":[183],"holistically.":[188],"Multiple":[189],"comparative":[190],"experiments":[191],"verify":[195],"method.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5}],"updated_date":"2026-01-23T23:20:30.427331","created_date":"2025-10-10T00:00:00"}
