{"id":"https://openalex.org/W4304080734","doi":"https://doi.org/10.1145/3503161.3547774","title":"Normalization-based Feature Selection and Restitution for Pan-sharpening","display_name":"Normalization-based Feature Selection and Restitution for Pan-sharpening","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304080734","doi":"https://doi.org/10.1145/3503161.3547774"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3547774","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3547774","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-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/A5101823681","display_name":"Man Zhou","orcid":"https://orcid.org/0000-0003-2872-605X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Man Zhou","raw_affiliation_strings":["University of Science and Technology of China & Hefei Institute of Physical Science, Chinese Academy of Sciences, hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China & Hefei Institute of Physical Science, Chinese Academy of Sciences, hefei, China","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I19820366","https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033737940","display_name":"Jie Huang","orcid":"https://orcid.org/0000-0002-3518-3404"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Huang","raw_affiliation_strings":["University of Science and Technology of China, hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079590055","display_name":"Keyu Yan","orcid":"https://orcid.org/0000-0001-7218-6703"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyu Yan","raw_affiliation_strings":["Hefei Institute of Physical Science, Chinese Academy of Sciences & University of Science and Technology of China, hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei Institute of Physical Science, Chinese Academy of Sciences & University of Science and Technology of China, hefei, China","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I19820366","https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074018705","display_name":"Gang Yang","orcid":"https://orcid.org/0000-0002-7001-2037"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Yang","raw_affiliation_strings":["University of Science and Technology of China, hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756739","display_name":"Aiping Liu","orcid":"https://orcid.org/0000-0001-8849-5228"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiping Liu","raw_affiliation_strings":["University of Science and Technology of China, hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034122071","display_name":"Chongyi Li","orcid":"https://orcid.org/0000-0003-2609-2460"},"institutions":[{"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":["SG"],"is_corresponding":false,"raw_author_name":"Chongyi Li","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100401202","display_name":"Feng Zhao","orcid":"https://orcid.org/0000-0001-6767-8105"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhao","raw_affiliation_strings":["University of Science and Technology of China, hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101823681"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366","https://openalex.org/I2802624667"],"apc_list":null,"apc_paid":null,"fwci":5.7169,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.97540603,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3365","last_page":"3374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9984999895095825,"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/sharpening","display_name":"Sharpening","score":0.8689620494842529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7372761964797974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6933375000953674},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.688491940498352},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5086975693702698},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5080904960632324},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49303075671195984},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4838249087333679},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.47191813588142395},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4404497742652893},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4039980173110962}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.8689620494842529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7372761964797974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6933375000953674},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.688491940498352},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5086975693702698},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5080904960632324},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49303075671195984},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4838249087333679},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.47191813588142395},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4404497742652893},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4039980173110962},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3547774","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3547774","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1871293042","https://openalex.org/W2000323021","https://openalex.org/W2001800591","https://openalex.org/W2100329651","https://openalex.org/W2112693869","https://openalex.org/W2113338111","https://openalex.org/W2132984323","https://openalex.org/W2144436897","https://openalex.org/W2152254169","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2492899067","https://openalex.org/W2519236071","https://openalex.org/W2555840851","https://openalex.org/W2603777577","https://openalex.org/W2611452721","https://openalex.org/W2772149471","https://openalex.org/W2777033955","https://openalex.org/W2808776742","https://openalex.org/W2809113079","https://openalex.org/W2890022946","https://openalex.org/W2890330644","https://openalex.org/W2927933146","https://openalex.org/W2948437909","https://openalex.org/W2963183385","https://openalex.org/W3004925702","https://openalex.org/W3011768656","https://openalex.org/W3016256189","https://openalex.org/W3023991509","https://openalex.org/W3025440211","https://openalex.org/W3040662573","https://openalex.org/W3081397212","https://openalex.org/W3088339669","https://openalex.org/W3094570690","https://openalex.org/W3098551073","https://openalex.org/W3102253068","https://openalex.org/W3102745911","https://openalex.org/W3104795559","https://openalex.org/W3120331810","https://openalex.org/W3121629662","https://openalex.org/W3128204528","https://openalex.org/W3136032573","https://openalex.org/W3150135133","https://openalex.org/W3176750081","https://openalex.org/W3204305289","https://openalex.org/W3206399630","https://openalex.org/W4206377169","https://openalex.org/W4226193485","https://openalex.org/W4283815286","https://openalex.org/W4312918841"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2026924879","https://openalex.org/W2329932281","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W2052388267","https://openalex.org/W2950647290","https://openalex.org/W1968481813","https://openalex.org/W2620829895"],"abstract_inverted_index":{"Pan-sharpening":[0],"is":[1,19,53],"essentially":[2],"a":[3,45,119],"panchromatic":[4],"(PAN)":[5],"image-guided":[6],"low-spatial":[7],"resolution":[8],"MS":[9,37,77,174],"image":[10],"super-resolution":[11],"problem.":[12],"The":[13,194],"commonly":[14],"challenging":[15],"issue":[16],"of":[17,55,151,172,181],"pan-sharpening":[18],"how":[20],"to":[21,63,97,110,123],"correctly":[22,155],"select":[23],"consistent":[24,66,149],"features":[25,60,150],"and":[26,29,36,49,61,106,131,135,157,185],"propagate":[27],"them,":[28],"properly":[30],"handle":[31],"inconsistent":[32,59,159],"ones":[33,160],"between":[34,127],"PAN":[35,73,152],"modalities.":[38],"To":[39,114],"solve":[40],"this":[41,146],"issue,":[42],"we":[43,69,117],"propose":[44,96],"Normalization-based":[46],"Feature":[47],"Selection":[48],"Restitution":[50],"mechanism,":[51],"which":[52],"capable":[54],"filtering":[56],"out":[57],"the":[58,65,72,76,91,99,103,111,125,128,132,137,142,148,158,166,170,179,182],"promoting":[62],"learn":[64],"ones.":[67],"Specifically,":[68],"first":[70],"modulate":[71],"feature":[74,80,130],"as":[75],"style":[78],"in":[79,169],"space":[81],"by":[82],"AdaIN":[83],"operation":[84,88],"\\citeAdaIN.":[85],"However,":[86],"such":[87],"inevitably":[89],"removes":[90],"favorable":[92,188],"features.":[93],"We":[94],"thus":[95,164],"distill":[98],"effective":[100],"information":[101],"from":[102,141],"removed":[104,138],"part":[105,139],"restitute":[107],"it":[108],"back":[109],"modulated":[112],"part.":[113],"better":[115],"distillation,":[116],"enforce":[118],"contrastive":[120],"learning":[121],"constraint":[122],"close":[124],"distance":[126],"restituted":[129],"ground":[133,143],"truth,":[134],"push":[136],"away":[140],"truth.":[144],"In":[145],"way,":[147],"images":[153],"are":[154,161],"selected":[156],"filtered":[162],"out,":[163],"relieving":[165],"over-transferred":[167],"artifacts":[168],"process":[171],"PAN-guided":[173],"super-resolution.":[175],"Extensive":[176],"experiments":[177],"validate":[178],"effectiveness":[180],"proposed":[183],"network":[184],"demonstrate":[186],"its":[187],"performance":[189],"against":[190],"other":[191],"state-of-the-art":[192],"methods.":[193],"source":[195],"code":[196],"will":[197],"be":[198],"released":[199],"at":[200],"https://github.com/manman1995/pansharpening.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}