{"id":"https://openalex.org/W4406094283","doi":"https://doi.org/10.1109/lgrs.2025.3526177","title":"Predictive Filtering Integrated Generative Remote Sensing Hyperspectral Image Inpainting","display_name":"Predictive Filtering Integrated Generative Remote Sensing Hyperspectral Image Inpainting","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406094283","doi":"https://doi.org/10.1109/lgrs.2025.3526177"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3526177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3526177","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5003113155","display_name":"Yinhu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinhu Wu","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696425","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-1082-114X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-1082-114X","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100761789","display_name":"Dongyang Liu","orcid":"https://orcid.org/0000-0003-3342-8356"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyang Liu","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-3342-8356","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.5239,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81248108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9445000290870667,"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":0.9445000290870667,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9417999982833862,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8986005783081055},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.7614823579788208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6515289545059204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6240378618240356},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.546343207359314},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.47514772415161133},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44421249628067017},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.38925108313560486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3639548122882843},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18395942449569702}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8986005783081055},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.7614823579788208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6515289545059204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6240378618240356},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.546343207359314},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.47514772415161133},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44421249628067017},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.38925108313560486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3639548122882843},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18395942449569702}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3526177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3526177","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5291607210","display_name":null,"funder_award_id":"62271171","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1655403841","https://openalex.org/W2520632654","https://openalex.org/W2735711969","https://openalex.org/W2790888198","https://openalex.org/W2963200935","https://openalex.org/W3021083191","https://openalex.org/W3046109728","https://openalex.org/W3090929676","https://openalex.org/W3112028371","https://openalex.org/W3204653398","https://openalex.org/W4226300688","https://openalex.org/W4319865630","https://openalex.org/W4386458864"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W2980422611","https://openalex.org/W2017457812","https://openalex.org/W3178025616","https://openalex.org/W2060947339","https://openalex.org/W2131831293","https://openalex.org/W2946160871","https://openalex.org/W3035059915"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,39],"hyperspectral":[2],"images":[3],"(HSIs)":[4],"may":[5],"contain":[6,43],"incomplete":[7],"or":[8,11],"corrupted":[9],"spatial":[10],"spectral":[12],"information,":[13],"how":[14],"to":[15,20,47,77,113,127],"reconstruct":[16],"the":[17,83,98,104,116,120,133,138,141,148],"missing":[18],"regions":[19],"obtain":[21],"a":[22,26,51],"complete":[23],"HSI":[24,30,40,52,89],"is":[25,63,156],"challenging":[27],"topic.":[28],"Existing":[29],"inpainting":[31,53,90],"methods":[32],"are":[33],"less":[34],"generalizable":[35],"across":[36],"different":[37,69,78],"remote":[38],"and":[41,103,115,144],"often":[42],"artifacts.":[44],"In":[45],"order":[46],"address":[48],"this":[49],"problem,":[50],"method":[54,143],"based":[55],"on":[56,132],"predictive":[57,85],"image":[58],"filtering":[59,74,86,105,125],"integrated":[60,87],"generative":[61,88,107],"restoration":[62],"proposed,":[64],"which":[65],"can":[66],"adaptively":[67],"handle":[68],"scenes":[70],"with":[71],"dynamically":[72,118],"predicted":[73],"kernels":[75,121],"according":[76,126],"input.":[79,129],"The":[80,152],"generator":[81],"of":[82,122,140],"proposed":[84,142],"network":[91,101,108],"(PFGIN)":[92],"comprises":[93],"two":[94],"interconnected":[95],"collaborative":[96],"branches:":[97],"kernel":[99],"prediction":[100],"(KPN)":[102],"guided":[106],"(FGN).":[109],"FGN":[110],"provides":[111],"features":[112],"KPN,":[114],"KPN":[117],"predicts":[119],"designed":[123],"spatial-spectral":[124],"its":[128,145],"Extensive":[130],"experiments":[131],"public":[134],"datasets":[135],"have":[136],"demonstrated":[137],"effectiveness":[139],"superiority":[146],"over":[147],"other":[149],"comparison":[150],"methods.":[151],"code":[153],"for":[154],"PFGIN":[155],"publicly":[157],"available":[158],"at":[159],"https://github.com/yinhuwu/PFGIN.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
