{"id":"https://openalex.org/W3193415796","doi":"https://doi.org/10.1109/access.2021.3104321","title":"Pan-Sharpening Based on Panchromatic Colorization Using WorldView-2","display_name":"Pan-Sharpening Based on Panchromatic Colorization Using WorldView-2","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3193415796","doi":"https://doi.org/10.1109/access.2021.3104321","mag":"3193415796"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3104321","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3104321","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09517271.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09517271.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016555302","display_name":"Zhangxi Xiong","orcid":"https://orcid.org/0000-0002-5909-1133"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangxi Xiong","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","Key Laboratory of Information Fusion Estimation and Detection, Heilongjiang University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"Key Laboratory of Information Fusion Estimation and Detection, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108096081","display_name":"Qing Guo","orcid":"https://orcid.org/0000-0001-5954-2179"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Guo","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100616095","display_name":"Mingliang Liu","orcid":"https://orcid.org/0000-0003-1124-3561"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Liu","raw_affiliation_strings":["Key Laboratory of Information Fusion Estimation and Detection, Heilongjiang University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Information Fusion Estimation and Detection, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114063445","display_name":"An Li","orcid":"https://orcid.org/0000-0002-4393-4861"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An Li","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3922,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62288866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"115523","last_page":"115534"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9968000054359436,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9919999837875366,"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/panchromatic-film","display_name":"Panchromatic film","score":0.9366135001182556},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.920242190361023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7341286540031433},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6731364727020264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6340256333351135},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.630216121673584},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5580146312713623},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49645668268203735},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47947677969932556},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4628656804561615},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44747939705848694},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4370952844619751},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40947192907333374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15413275361061096}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9366135001182556},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.920242190361023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7341286540031433},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6731364727020264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6340256333351135},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.630216121673584},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5580146312713623},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49645668268203735},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47947677969932556},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4628656804561615},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44747939705848694},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4370952844619751},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40947192907333374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15413275361061096},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3104321","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3104321","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09517271.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1d84a4ef76934a469e232529856a2022","is_oa":false,"landing_page_url":"https://doaj.org/article/1d84a4ef76934a469e232529856a2022","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 115523-115534 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3104321","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3104321","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09517271.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G145464179","display_name":null,"funder_award_id":"QYZDY-SSW DQC026","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G2192453545","display_name":null,"funder_award_id":"kjck201806","funder_id":"https://openalex.org/F4320310113","funder_display_name":"Heilongjiang University"},{"id":"https://openalex.org/G3935134241","display_name":null,"funder_award_id":"XDA19060103","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G5685821506","display_name":null,"funder_award_id":"XDA19010401","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G8491030968","display_name":"\u591a\u6e90\u591a\u65f6\u76f8\u9065\u611f\u56fe\u50cf\u5149\u8c31\u7279\u5f81\u9c81\u68d2\u6027\u878d\u5408\u7814\u7a76","funder_award_id":"61771470","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320310113","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3193415796.pdf","grobid_xml":"https://content.openalex.org/works/W3193415796.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W228376220","https://openalex.org/W817971873","https://openalex.org/W2004981040","https://openalex.org/W2015380729","https://openalex.org/W2021384698","https://openalex.org/W2064366277","https://openalex.org/W2108790520","https://openalex.org/W2114815104","https://openalex.org/W2123046940","https://openalex.org/W2133665775","https://openalex.org/W2144436897","https://openalex.org/W2154789478","https://openalex.org/W2158598326","https://openalex.org/W2159269332","https://openalex.org/W2163677711","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2171627515","https://openalex.org/W2171845746","https://openalex.org/W2326925005","https://openalex.org/W2462592242","https://openalex.org/W2503339013","https://openalex.org/W2528170672","https://openalex.org/W2535388113","https://openalex.org/W2619662254","https://openalex.org/W2717881181","https://openalex.org/W2737219040","https://openalex.org/W2754256031","https://openalex.org/W2777033955","https://openalex.org/W2898164712","https://openalex.org/W2937416986","https://openalex.org/W2970172799","https://openalex.org/W2984586674","https://openalex.org/W3001319304","https://openalex.org/W3023991509","https://openalex.org/W3034832575","https://openalex.org/W3097824737","https://openalex.org/W3098542449","https://openalex.org/W3101902399","https://openalex.org/W6623043969","https://openalex.org/W6685078114"],"related_works":["https://openalex.org/W2158394102","https://openalex.org/W1930929277","https://openalex.org/W4254327447","https://openalex.org/W2033186943","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2158371478","https://openalex.org/W2726689079"],"abstract_inverted_index":{"In":[0,257],"order":[1],"to":[2,42,97,149,202,215,244,249,272],"overcome":[3],"the":[4,7,14,22,35,39,43,50,60,72,81,94,99,104,117,120,124,133,151,177,184,191,196,206,211,222,246,251,254,276,279,287,297,302],"lack":[5],"of":[6,17,25,38,74,128,183,195,210,229,235,253,295],"multispectral":[8],"image":[9,20,65,78,82,100],"(MS)":[10],"and":[11,21,48,67,88,109,123,155,179,226,265,274,301],"adequately":[12],"preserve":[13],"spatial":[15,87,108,180],"information":[16,24,37],"panchromatic":[18],"(PAN)":[19],"spectral":[23,36,89,110,178,207],"MS":[26,41,154,199],"image,":[27],"this":[28,142],"study":[29],"proposes":[30],"a":[31,162],"method":[32,289],"which":[33,160],"adds":[34],"prior":[40,44],"PAN":[45,52,156,193,201],"during":[46],"training,":[47],"only":[49,190,205],"posterior":[51],"is":[53,139,146,161],"needed":[54],"for":[55,158],"predicting.":[56],"Firstly,":[57],"we":[58,259],"introduce":[59],"autoencoder":[61],"model":[62,138],"based":[63],"on":[64,278],"colorization":[66,101],"discuss":[68],"its":[69],"feasibility":[70],"in":[71,136,293],"field":[73],"multi-band":[75],"remote":[76,129,236],"sensing":[77,130,237],"pan-sharpening.":[79,232],"Then,":[80],"quality":[83,181],"evaluation":[84,111],"functions":[85],"including":[86,176],"indexes":[90],"are":[91,242],"formed":[92],"as":[93],"loss":[95,105,118,174],"function":[96,106,175],"control":[98],"model.":[102],"Because":[103],"contains":[107],"indexes,":[112],"it":[113,145],"could":[114],"directly":[115],"calculate":[116],"between":[119],"network":[121],"output":[122],"label":[125],"considering":[126],"characteristics":[127],"images.":[131],"Besides,":[132],"training":[134,159,247],"data":[135,157],"our":[137],"original":[140,192],"PAN,":[141],"means":[143],"that":[144,286],"not":[147],"necessary":[148],"make":[150,245],"simulated":[152,197],"degraded":[153,198],"big":[163],"difference":[164],"from":[165,239],"most":[166],"existing":[167],"deep":[168,230],"learning":[169,224,231],"pan-sharpening":[170,263],"methods.":[171],"The":[172,283],"new":[173],"instead":[182,194,209],"general":[185],"MSE":[186],"(mean":[187],"square":[188],"error),":[189],"+":[200],"be":[203,216],"inputted,":[204],"feature":[208],"direct":[212],"fusion":[213,270],"result":[214],"learned,":[217],"these":[218],"three":[219],"aspects":[220],"change":[221],"current":[223],"framework":[225],"optimization":[227],"rule":[228],"Finally,":[233],"thousands":[234],"images":[238],"different":[240],"scenes":[241],"adopted":[243],"dataset":[248],"verify":[250],"effectiveness":[252],"proposed":[255,288],"method.":[256],"addition,":[258],"selected":[260],"seven":[261],"representative":[262],"algorithms":[264],"four":[266],"widely":[267],"recognized":[268],"objective":[269],"metrics":[271],"evaluate":[273],"compare":[275],"performance":[277,292],"WorldView-2":[280],"experimental":[281],"data.":[282],"results":[284],"show":[285],"achieves":[290],"optimal":[291],"terms":[294],"both":[296],"subjective":[298],"visual":[299],"effect":[300],"object":[303],"assessment.":[304]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}