{"id":"https://openalex.org/W3165488702","doi":"https://doi.org/10.1109/tgrs.2020.3019835","title":"Two Stages Pan-Sharpening Details Injection Approach Based on Very Deep Residual Networks","display_name":"Two Stages Pan-Sharpening Details Injection Approach Based on Very Deep Residual Networks","publication_year":2020,"publication_date":"2020-09-15","ids":{"openalex":"https://openalex.org/W3165488702","doi":"https://doi.org/10.1109/tgrs.2020.3019835","mag":"3165488702"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3019835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3019835","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5072142668","display_name":"Tayeb Benzenati","orcid":"https://orcid.org/0000-0002-0123-0022"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]},{"id":"https://openalex.org/I4210119561","display_name":"Digital Research Centre of Sfax","ror":"https://ror.org/02s48dm85","country_code":"TN","type":"facility","lineage":["https://openalex.org/I4210119561"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Tayeb Benzenati","raw_affiliation_strings":["Advanced Technologies for Image and Signal Processing, University of Sfax, Sfax, Tunisia","Digital Research Center of Sfax, Sfax, Tunisia"],"raw_orcid":"https://orcid.org/0000-0002-0123-0022","affiliations":[{"raw_affiliation_string":"Advanced Technologies for Image and Signal Processing, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"Digital Research Center of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210119561"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065284035","display_name":"Abdelaziz Kallel","orcid":"https://orcid.org/0000-0003-2490-0241"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]},{"id":"https://openalex.org/I4210119561","display_name":"Digital Research Centre of Sfax","ror":"https://ror.org/02s48dm85","country_code":"TN","type":"facility","lineage":["https://openalex.org/I4210119561"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Abdelaziz Kallel","raw_affiliation_strings":["Advanced Technologies for Image and Signal Processing, University of Sfax, Sfax, Tunisia","Digital Research Center of Sfax, Sfax, Tunisia"],"raw_orcid":"https://orcid.org/0000-0003-2490-0241","affiliations":[{"raw_affiliation_string":"Advanced Technologies for Image and Signal Processing, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"Digital Research Center of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210119561"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086553271","display_name":"Yousri Kessentini","orcid":"https://orcid.org/0000-0002-4017-1846"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]},{"id":"https://openalex.org/I4210119561","display_name":"Digital Research Centre of Sfax","ror":"https://ror.org/02s48dm85","country_code":"TN","type":"facility","lineage":["https://openalex.org/I4210119561"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Yousri Kessentini","raw_affiliation_strings":["Digital Research Center of Sfax, Sfax, Tunisia","MIRACL Laboratory, University of Sfax, Sfax, Tunisia"],"raw_orcid":"https://orcid.org/0000-0002-4017-1846","affiliations":[{"raw_affiliation_string":"Digital Research Center of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210119561"]},{"raw_affiliation_string":"MIRACL Laboratory, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1195,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.88326504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"59","issue":"6","first_page":"4984","last_page":"4992"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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":0.9140572547912598},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.9078090786933899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7475641369819641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7196903824806213},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.7128916382789612},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6192610263824463},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6120581030845642},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5904346704483032},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5604321360588074},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5050593018531799},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5000200271606445},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4787120819091797},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4773021936416626},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.429516077041626},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4226517081260681},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4151579439640045},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15957659482955933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15898865461349487}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.9140572547912598},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9078090786933899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7475641369819641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7196903824806213},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.7128916382789612},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6192610263824463},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6120581030845642},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5904346704483032},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5604321360588074},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5050593018531799},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5000200271606445},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4787120819091797},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4773021936416626},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.429516077041626},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4226517081260681},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4151579439640045},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15957659482955933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15898865461349487},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3019835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3019835","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W817971873","https://openalex.org/W1247035941","https://openalex.org/W1522046140","https://openalex.org/W1522301498","https://openalex.org/W1544431110","https://openalex.org/W1553305639","https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1974745581","https://openalex.org/W1980110630","https://openalex.org/W1986629820","https://openalex.org/W2064366277","https://openalex.org/W2074788894","https://openalex.org/W2097259623","https://openalex.org/W2100329651","https://openalex.org/W2117146861","https://openalex.org/W2124743705","https://openalex.org/W2124952510","https://openalex.org/W2139529730","https://openalex.org/W2142843085","https://openalex.org/W2152254169","https://openalex.org/W2165651437","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2172185514","https://openalex.org/W2194775991","https://openalex.org/W2297358468","https://openalex.org/W2396384022","https://openalex.org/W2462592242","https://openalex.org/W2491816944","https://openalex.org/W2508457857","https://openalex.org/W2560533888","https://openalex.org/W2610945978","https://openalex.org/W2619662254","https://openalex.org/W2747898905","https://openalex.org/W2754256031","https://openalex.org/W2777033955","https://openalex.org/W2793613573","https://openalex.org/W2936890814","https://openalex.org/W2949117887","https://openalex.org/W2963007295","https://openalex.org/W2963183385","https://openalex.org/W2963372104","https://openalex.org/W2964372277","https://openalex.org/W3098542449","https://openalex.org/W6623043969","https://openalex.org/W6631190155","https://openalex.org/W6631230401","https://openalex.org/W6633088995","https://openalex.org/W6637242042","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6684197827"],"related_works":["https://openalex.org/W2375230202","https://openalex.org/W2036727360","https://openalex.org/W847427913","https://openalex.org/W4295745551","https://openalex.org/W2766312395","https://openalex.org/W2111924917","https://openalex.org/W2182807969","https://openalex.org/W2150684903","https://openalex.org/W2548900293","https://openalex.org/W2084382156"],"abstract_inverted_index":{"Pan-sharpening":[0,39],"is":[1,91,118],"a":[2,9,17,28,38,67],"fusion":[3],"task,":[4],"which":[5],"aims":[6],"to":[7,26,45,74,93,106,159],"combine":[8],"low":[10],"spatial":[11,19,30,48,108,154],"resolution":[12,20],"multispectral":[13],"(MS)":[14],"image":[15,25,53],"with":[16],"high":[18,29],"single":[21],"band":[22,105],"panchromatic":[23],"(PAN)":[24],"produce":[27],"and":[31,134,155],"spectral":[32,57,156],"Pan-sharpened":[33],"image.":[34,114],"The":[35,132],"success":[36],"of":[37,50,98,128,162],"technique":[40],"depends":[41],"on":[42,79,137],"its":[43,56],"ability":[44],"boost":[46],"the":[47,51,95,99,112,116,122,126,145,160,163,168],"quality":[49],"MS":[52,104],"while":[54],"preserving":[55],"feature.":[58],"To":[59],"this":[60,65],"end,":[61],"we":[62],"propose":[63],"in":[64,152],"article":[66],"new":[68,169],"two-stage":[69],"detail":[70],"injection":[71,100],"approach":[72,147],"allowing":[73],"reconstruct":[75],"fine":[76],"structures":[77],"based":[78],"convolutional":[80],"neural":[81],"networks":[82],"(CNNs).":[83],"First,":[84],"generalized":[85],"Laplacian":[86],"pyramid":[87],"gain":[88],"injections":[89],"CNN":[90],"performed":[92],"estimate":[94],"optimal":[96],"values":[97],"gains":[101],"for":[102],"each":[103],"inject":[107],"details":[109,123],"extracted":[110],"from":[111,140],"PAN":[113],"Next,":[115],"result":[117],"enhanced":[119],"by":[120],"injecting":[121],"missing":[124],"using":[125],"power":[127],"deep":[129],"residual":[130],"learning.":[131],"quantitative":[133],"qualitative":[135],"results":[136],"data":[138],"sets":[139],"different":[141],"satellites":[142],"show":[143],"that":[144],"proposed":[146],"can":[148],"achieve":[149],"higher":[150],"performances":[151],"both":[153],"qualities":[157],"compared":[158],"state":[161],"art":[164],"as":[165,167],"well":[166],"CNN-based":[170],"methods.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
