{"id":"https://openalex.org/W2774594138","doi":"https://doi.org/10.1109/igarss.2017.8127731","title":"Multi-scale-and-depth convolutional neural network for remote sensed imagery pan-sharpening","display_name":"Multi-scale-and-depth convolutional neural network for remote sensed imagery pan-sharpening","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2774594138","doi":"https://doi.org/10.1109/igarss.2017.8127731","mag":"2774594138"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101829801","display_name":"Yancong Wei","orcid":"https://orcid.org/0000-0003-4766-8959"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yancong Wei","raw_affiliation_strings":["State Key Laboratory of Information Engineering, Survey Mapping and Remote Sensing, Wuhan University, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering, Survey Mapping and Remote Sensing, Wuhan University, P. R. China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047576305","display_name":"Qiangqiang Yuan","orcid":"https://orcid.org/0000-0001-7140-2224"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiangqiang Yuan","raw_affiliation_strings":["School of Geodesy and Geomatics, Wuhan University, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, P. R. China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018282808","display_name":"Xiangchao Meng","orcid":"https://orcid.org/0000-0002-7405-3143"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangchao Meng","raw_affiliation_strings":["School of Resource and Environmental Science, Wuhan University, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Science, Wuhan University, P. R. China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114374395","display_name":"Huanfeng Shen","orcid":"https://orcid.org/0000-0002-4140-1869"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanfeng Shen","raw_affiliation_strings":["School of Resource and Environmental Science, Wuhan University, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Science, Wuhan University, P. R. China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering, Survey Mapping and Remote Sensing, Wuhan University, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering, Survey Mapping and Remote Sensing, Wuhan University, P. R. China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010561682","display_name":"Michael K. Ng","orcid":"https://orcid.org/0000-0001-6833-5227"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Michael Ng","raw_affiliation_strings":["Department of Mathematics, Hong Kong Baptist University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3413","last_page":"3416"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9980000257492065,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9973000288009644,"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/sharpening","display_name":"Sharpening","score":0.976658821105957},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.9051163196563721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7093011736869812},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.706649661064148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6949083209037781},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5385990738868713},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4896898567676544},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.477211058139801},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4552849233150482},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4503088593482971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4274284839630127},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.35786616802215576},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32056766748428345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3053964376449585},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.14304488897323608},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09749874472618103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0950080156326294}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.976658821105957},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9051163196563721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7093011736869812},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.706649661064148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6949083209037781},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5385990738868713},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4896898567676544},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.477211058139801},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4552849233150482},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4503088593482971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4274284839630127},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.35786616802215576},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32056766748428345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3053964376449585},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.14304488897323608},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09749874472618103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0950080156326294},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8127731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1654063000","https://openalex.org/W1825675169","https://openalex.org/W1885185971","https://openalex.org/W1988720110","https://openalex.org/W2001800591","https://openalex.org/W2014316959","https://openalex.org/W2064366277","https://openalex.org/W2124743705","https://openalex.org/W2154789478","https://openalex.org/W2155893237","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2462592242","https://openalex.org/W2508457857","https://openalex.org/W2514340250"],"related_works":["https://openalex.org/W1930929277","https://openalex.org/W4254327447","https://openalex.org/W2816335205","https://openalex.org/W2158394102","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":{"Pan-sharpening":[0],"is":[1],"a":[2,56,71],"fundamental":[3],"and":[4,20,32,76],"significant":[5],"task":[6],"in":[7,29],"the":[8,24,40,48,68,79,85],"field":[9],"of":[10,18,42,51,70,74,81],"remote":[11],"sensed":[12],"imagery":[13],"fusion,":[14],"which":[15],"demands":[16],"fusion":[17],"panchromatic":[19],"multi-spectral":[21],"images":[22,82],"with":[23],"rich":[25],"information":[26],"accurately":[27],"preserved":[28],"both":[30],"spatial":[31],"spectral":[33],"domains.":[34],"In":[35],"this":[36],"paper,":[37],"to":[38,54,92],"overcome":[39],"drawbacks":[41],"traditional":[43],"pan-sharpening":[44,65],"methodologies,":[45],"we":[46],"employed":[47],"advanced":[49],"concept":[50],"deep":[52],"learning":[53],"propose":[55],"Multi-Scale-and-Depth":[57],"Convolutional":[58],"Neural":[59],"Network":[60],"(MSDCNN)":[61],"as":[62],"an":[63],"end-to-end":[64],"model.":[66],"By":[67],"results":[69],"large":[72],"number":[73],"quantitative":[75],"visual":[77],"assessments,":[78],"qualities":[80],"fused":[83],"by":[84],"proposed":[86],"network":[87],"have":[88],"been":[89],"confirmed":[90],"superior":[91],"compared":[93],"state-of-the-art":[94],"methods.":[95]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
