{"id":"https://openalex.org/W4386737385","doi":"https://doi.org/10.1109/tgrs.2023.3315525","title":"Multidirectional Graph Learning-Based Infrared Cirrus Detection With Local Texture Features","display_name":"Multidirectional Graph Learning-Based Infrared Cirrus Detection With Local Texture Features","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386737385","doi":"https://doi.org/10.1109/tgrs.2023.3315525"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3315525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3315525","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/A5102804292","display_name":"Zhujun Gao","orcid":"https://orcid.org/0000-0003-3725-5739"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhujun Gao","raw_affiliation_strings":["School of Information and Communication Engineering and the Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu, China","School of Instrument Science and Optoelectronic Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering and the Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Instrument Science and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032252008","display_name":"Jianhua Yin","orcid":"https://orcid.org/0000-0003-4745-4969"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Yin","raw_affiliation_strings":["School of Information and Communication Engineering and the Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu, China","School of Instrument Science and Optoelectronic Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering and the Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Instrument Science and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034227150","display_name":"Junhai Luo","orcid":"https://orcid.org/0000-0002-8435-007X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhai Luo","raw_affiliation_strings":["School of Information and Communication Engineering and the Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu, China","School of Instrument Science and Optoelectronic Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering and the Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Instrument Science and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","School of Instrument Science and Optoelectronic Engineering, Beihang University, Beijing, China","School of Information and Communication Engineering and the Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Instrument Science and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Information and Communication Engineering and the Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016112252","display_name":"Zhenming Peng","orcid":"https://orcid.org/0000-0002-4148-3331"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenming Peng","raw_affiliation_strings":["School of Information and Communication Engineering and the Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu, China","School of Instrument Science and Optoelectronic Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering and the Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Instrument Science and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102804292"],"corresponding_institution_ids":["https://openalex.org/I150229711","https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":4.5236,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.94480571,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9997000098228455,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9997000098228455,"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/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T12019","display_name":"Calibration and Measurement Techniques","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cirrus","display_name":"Cirrus","score":0.9702447652816772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5972851514816284},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4618017077445984},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.4351721405982971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3875187337398529},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37904614210128784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.354339063167572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20724231004714966},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14256516098976135}],"concepts":[{"id":"https://openalex.org/C2781448682","wikidata":"https://www.wikidata.org/wiki/Q1093125","display_name":"Cirrus","level":2,"score":0.9702447652816772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5972851514816284},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4618017077445984},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.4351721405982971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3875187337398529},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37904614210128784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.354339063167572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20724231004714966},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14256516098976135},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3315525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3315525","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":[{"score":0.5600000023841858,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G306738061","display_name":null,"funder_award_id":"2023NSFSC0508","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G3194634613","display_name":null,"funder_award_id":"2022NSFSC40574","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G6443248460","display_name":null,"funder_award_id":"61571096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6931115152","display_name":null,"funder_award_id":"61775030","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/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1533693043","https://openalex.org/W1860736741","https://openalex.org/W1884731728","https://openalex.org/W1954149510","https://openalex.org/W1979089718","https://openalex.org/W2004646046","https://openalex.org/W2009702064","https://openalex.org/W2016119108","https://openalex.org/W2016378714","https://openalex.org/W2021836772","https://openalex.org/W2028240797","https://openalex.org/W2035331133","https://openalex.org/W2048695508","https://openalex.org/W2073161435","https://openalex.org/W2094001187","https://openalex.org/W2145962650","https://openalex.org/W2161041254","https://openalex.org/W2164278908","https://openalex.org/W2168901348","https://openalex.org/W2175634846","https://openalex.org/W2289300779","https://openalex.org/W2341998679","https://openalex.org/W2344955579","https://openalex.org/W2380162821","https://openalex.org/W2385975312","https://openalex.org/W2463021868","https://openalex.org/W2514511683","https://openalex.org/W2548491386","https://openalex.org/W2604768956","https://openalex.org/W2604783720","https://openalex.org/W2605495192","https://openalex.org/W2605847660","https://openalex.org/W2756626360","https://openalex.org/W2771508394","https://openalex.org/W2792582472","https://openalex.org/W2807150694","https://openalex.org/W2885850997","https://openalex.org/W2897432612","https://openalex.org/W2912919760","https://openalex.org/W2937531545","https://openalex.org/W2944664740","https://openalex.org/W2945271414","https://openalex.org/W2953079921","https://openalex.org/W2972014750","https://openalex.org/W2998213886","https://openalex.org/W3008979300","https://openalex.org/W3009274836","https://openalex.org/W3024748887","https://openalex.org/W3045742556","https://openalex.org/W3049235131","https://openalex.org/W3086144474","https://openalex.org/W3102415113","https://openalex.org/W3117306485","https://openalex.org/W3125182304","https://openalex.org/W3134919243","https://openalex.org/W3145563919","https://openalex.org/W3153500217","https://openalex.org/W3157999218","https://openalex.org/W3160641315","https://openalex.org/W3176334304","https://openalex.org/W3201981875","https://openalex.org/W3212966035","https://openalex.org/W4285198998","https://openalex.org/W4309101391","https://openalex.org/W4313399780","https://openalex.org/W4315630892","https://openalex.org/W4367312112","https://openalex.org/W4381415904","https://openalex.org/W6682644385","https://openalex.org/W7036204928"],"related_works":["https://openalex.org/W2362757354","https://openalex.org/W2900527670","https://openalex.org/W4248832905","https://openalex.org/W2188428660","https://openalex.org/W2128182792","https://openalex.org/W2136543458","https://openalex.org/W2012607827","https://openalex.org/W2520966210","https://openalex.org/W4229749671","https://openalex.org/W2018433067"],"abstract_inverted_index":{"Infrared":[0],"cirrus":[1,29,48,57,77,103,119,126,157],"detection":[2,78,152,200],"is":[3,169,173],"extensively":[4],"used":[5],"in":[6,132,197],"military":[7],"and":[8,24,50,55,63,85,104,121,155],"civil":[9],"fields,":[10],"but":[11],"it":[12],"poses":[13],"several":[14],"challenges":[15,20],"to":[16,68,92,116,124],"existing":[17],"methods.":[18],"These":[19],"include":[21],"the":[22,28,45,61,99,107,118,133,151,163,176,188],"complex":[23],"diverse":[25],"shapes":[26],"of":[27,47,102,153,180,194,199],"clouds,":[30],"as":[31,33,146,159,161],"well":[32,160],"their":[34],"varying":[35],"sizes.":[36],"Additionally,":[37,123],"false":[38],"alarms":[39],"can":[40],"be":[41],"easily":[42],"triggered":[43],"by":[44,136],"shadows":[46],"clouds":[49,58,120,127,158],"strong":[51,130],"edges.":[52],"Furthermore,":[53],"dim":[54,154],"weak":[56],"blend":[59],"into":[60,97],"background":[62,105,134],"lack":[64],"distinct":[65],"features,":[66],"leading":[67],"missed":[69],"detections.":[70],"This":[71],"paper":[72],"presents":[73],"an":[74],"innovative":[75],"infrared":[76],"model":[79,172],"based":[80],"on":[81],"multi-directional":[82],"graph":[83,111],"learning":[84,112],"local":[86,141],"fractal":[87,142],"feature":[88],"prior":[89,147],"weight":[90],"mapping":[91],"overcome":[93],"these":[94],"challenges.":[95],"Taking":[96],"account":[98],"structural":[100],"characteristics":[101],"continuity,":[106],"proposed":[108,145,189],"method":[109],"utilizes":[110],"enhanced":[113],"matrix":[114],"decomposition":[115],"separate":[117],"background.":[122],"highlight":[125],"while":[128],"suppressing":[129],"edges":[131],"caused":[135],"mountains":[137],"or":[138],"rivers,":[139],"weighted":[140],"features":[143],"are":[144],"knowledge.":[148],"To":[149],"improve":[150],"small":[156],"accelerate":[162],"convergence,":[164],"a":[165,192],"reweighting":[166],"optimization":[167],"scheme":[168,190],"proposed.":[170],"The":[171],"solved":[174],"using":[175],"Alternating":[177],"Direction":[178],"Method":[179],"Multipliers":[181],"(ADMM)":[182],"framework.":[183],"Extensive":[184],"experiments":[185],"demonstrate":[186],"that":[187],"outperforms":[191],"variety":[193],"classic":[195],"techniques":[196],"terms":[198],"performance.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}