{"id":"https://openalex.org/W3185712683","doi":"https://doi.org/10.3390/rs13132556","title":"A Distributed Fusion Framework of Multispectral and Panchromatic Images Based on Residual Network","display_name":"A Distributed Fusion Framework of Multispectral and Panchromatic Images Based on Residual Network","publication_year":2021,"publication_date":"2021-06-30","ids":{"openalex":"https://openalex.org/W3185712683","doi":"https://doi.org/10.3390/rs13132556","mag":"3185712683"},"language":"en","primary_location":{"id":"doi:10.3390/rs13132556","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13132556","pdf_url":"https://www.mdpi.com/2072-4292/13/13/2556/pdf?version=1625125087","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/2072-4292/13/13/2556/pdf?version=1625125087","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101568908","display_name":"Yuanyuan Wu","orcid":"https://orcid.org/0000-0001-9718-7649"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Wu","raw_affiliation_strings":["State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011132245","display_name":"Mengxing Huang","orcid":"https://orcid.org/0000-0002-5709-703X"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengxing Huang","raw_affiliation_strings":["State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101729131","display_name":"Yuchun Li","orcid":"https://orcid.org/0000-0003-2723-220X"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchun Li","raw_affiliation_strings":["State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058207438","display_name":"Siling Feng","orcid":"https://orcid.org/0000-0002-8627-2028"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siling Feng","raw_affiliation_strings":["State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100685396","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-4344-5953"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011132245"],"corresponding_institution_ids":["https://openalex.org/I20942203"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.122,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80392749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":"13","first_page":"2556","last_page":"2556"},"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":0.9976000189781189,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9961000084877014,"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":0.949589729309082},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.874904990196228},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8401482105255127},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.7210136651992798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7140389680862427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6162445545196533},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5824374556541443},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5029556155204773},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4997386932373047},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4864797294139862},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47110703587532043},{"id":"https://openalex.org/keywords/fusion-rules","display_name":"Fusion rules","score":0.41643667221069336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41593292355537415},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1717914342880249},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10481351613998413}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.949589729309082},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.874904990196228},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8401482105255127},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.7210136651992798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140389680862427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6162445545196533},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5824374556541443},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5029556155204773},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4997386932373047},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4864797294139862},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47110703587532043},{"id":"https://openalex.org/C2778971668","wikidata":"https://www.wikidata.org/wiki/Q5510284","display_name":"Fusion rules","level":4,"score":0.41643667221069336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41593292355537415},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1717914342880249},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10481351613998413},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":3,"locations":[{"id":"doi:10.3390/rs13132556","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13132556","pdf_url":"https://www.mdpi.com/2072-4292/13/13/2556/pdf?version=1625125087","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:831ea2de5d3a48718b21433e84c3a7ba","is_oa":true,"landing_page_url":"https://doaj.org/article/831ea2de5d3a48718b21433e84c3a7ba","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 13, p 2556 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/13/2556/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13132556","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13132556","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13132556","pdf_url":"https://www.mdpi.com/2072-4292/13/13/2556/pdf?version=1625125087","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":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3185712683.pdf","grobid_xml":"https://content.openalex.org/works/W3185712683.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W625290431","https://openalex.org/W811864384","https://openalex.org/W817971873","https://openalex.org/W1137659061","https://openalex.org/W1511001221","https://openalex.org/W1522046140","https://openalex.org/W1885185971","https://openalex.org/W1970836680","https://openalex.org/W1991460509","https://openalex.org/W2001800591","https://openalex.org/W2022075948","https://openalex.org/W2036485827","https://openalex.org/W2053081714","https://openalex.org/W2068985111","https://openalex.org/W2078855750","https://openalex.org/W2088538848","https://openalex.org/W2106002835","https://openalex.org/W2106891293","https://openalex.org/W2111924917","https://openalex.org/W2114864438","https://openalex.org/W2124743705","https://openalex.org/W2130588510","https://openalex.org/W2133135191","https://openalex.org/W2133597165","https://openalex.org/W2133665775","https://openalex.org/W2139529730","https://openalex.org/W2144436897","https://openalex.org/W2152254169","https://openalex.org/W2154789478","https://openalex.org/W2158537567","https://openalex.org/W2159269332","https://openalex.org/W2164306391","https://openalex.org/W2165329055","https://openalex.org/W2171211028","https://openalex.org/W2171627515","https://openalex.org/W2171845746","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2303172903","https://openalex.org/W2327302159","https://openalex.org/W2462592242","https://openalex.org/W2474462684","https://openalex.org/W2592312604","https://openalex.org/W2610945978","https://openalex.org/W2619662254","https://openalex.org/W2717881181","https://openalex.org/W2737219040","https://openalex.org/W2754256031","https://openalex.org/W2777033955","https://openalex.org/W2792365373","https://openalex.org/W2806865914","https://openalex.org/W2963183385","https://openalex.org/W2963695810","https://openalex.org/W2963787388","https://openalex.org/W2964275574","https://openalex.org/W2986860520","https://openalex.org/W2998030133","https://openalex.org/W3009431086","https://openalex.org/W3023991509","https://openalex.org/W3034461890","https://openalex.org/W3046007115","https://openalex.org/W3091030342","https://openalex.org/W3098542449","https://openalex.org/W3099258777","https://openalex.org/W4231697575","https://openalex.org/W6631230401","https://openalex.org/W6675893205","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/W2726689079","https://openalex.org/W2362168411"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"images":[2,15,42,50,173],"have":[3],"been":[4],"widely":[5],"applied":[6,75],"in":[7,26,142,225,239],"various":[8],"industries;":[9],"nevertheless,":[10],"the":[11,27,58,80,98,107,110,132,135,139,143,148,167,176,187,209,212,215,219,241],"resolution":[12,228],"of":[13,31,46,60,101,109,116,134,138,169,181,214],"such":[14],"is":[16,22,35,73],"relatively":[17],"low.":[18],"Panchromatic":[19],"sharpening":[20],"(pan-sharpening)":[21],"a":[23,85,126],"research":[24],"focus":[25],"image":[28],"fusion":[29,87,100,123,128,136,144,150,188,242],"domain":[30],"remote":[32],"sensing.":[33],"Pan-sharpening":[34],"used":[36,164,185],"to":[37,76,130,165,207],"generate":[38],"high-resolution":[39],"multispectral":[40,48],"(HRMS)":[41],"making":[43],"full":[44],"use":[45],"low-resolution":[47],"(LRMS)":[49],"and":[51,65,113,118,155,171,179,195,229,233,237],"panchromatic":[52],"(PAN)":[53],"images.":[54,120],"Traditional":[55],"pan-sharpening":[56],"has":[57,222,234],"problems":[59],"spectral":[61,111,154,193,231],"distortion,":[62],"ringing":[63],"effect,":[64],"low":[66],"resolution.":[67],"The":[68,121],"convolutional":[69],"neural":[70],"network":[71,124],"(CNN)":[72],"gradually":[74],"pan-sharpening.":[77],"Aiming":[78],"at":[79],"aforementioned":[81],"problems,":[82],"we":[83],"propose":[84],"distributed":[86,127],"framework":[88],"based":[89],"on":[90],"residual":[91,177],"CNN":[92],"(RCNN),":[93],"namely,":[94],"RDFNet,":[95,211],"which":[96],"realizes":[97],"data":[99,202],"three":[102],"channels.":[103],"It":[104],"can":[105],"make":[106,131],"most":[108],"information":[112,115,197],"spatial":[114,156,196,227],"LRMS":[117],"PAN":[119,172],"proposed":[122,210,220],"employs":[125],"architecture":[129],"best":[133],"outcome":[137],"previous":[140],"step":[141],"channel,":[145],"so":[146],"that":[147,218],"subsequent":[149],"acquires":[151],"much":[152],"more":[153],"information.":[157],"Moreover,":[158],"two":[159],"feature":[160],"extraction":[161],"channels":[162],"are":[163,184,199],"extract":[166],"features":[168,180],"MS":[170],"respectively,":[174],"using":[175],"module,":[178],"different":[182,205],"scales":[183],"for":[186],"channel.":[189],"In":[190],"this":[191],"way,":[192],"distortion":[194],"loss":[198],"reduced.":[200],"Employing":[201],"from":[203],"four":[204],"satellites":[206],"compare":[208],"results":[213],"experiment":[216],"show":[217],"RDFNet":[221],"superior":[223],"performance":[224],"improving":[226,240],"preserving":[230],"information,":[232],"good":[235],"robustness":[236],"generalization":[238],"quality.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
