{"id":"https://openalex.org/W2964372277","doi":"https://doi.org/10.1109/lgrs.2019.2928181","title":"Generalized Laplacian Pyramid Pan-Sharpening Gain Injection Prediction Based on CNN","display_name":"Generalized Laplacian Pyramid Pan-Sharpening Gain Injection Prediction Based on CNN","publication_year":2019,"publication_date":"2019-07-31","ids":{"openalex":"https://openalex.org/W2964372277","doi":"https://doi.org/10.1109/lgrs.2019.2928181","mag":"2964372277"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2928181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2928181","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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, Tunisia","Digital Research Centre 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, Tunisia","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"Digital Research Centre of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210119561"]}]},{"author_position":"middle","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 Centre 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 Centre 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"]}]},{"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, Tunisia","Digital Research Centre 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, Tunisia","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"Digital Research Centre of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210119561"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024776460","display_name":"Hind Hallabia","orcid":"https://orcid.org/0000-0001-8256-6646"},"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":"Hind Hallabia","raw_affiliation_strings":["Advanced Technologies for Image and Signal Processing, University of Sfax, Tunisia","Digital Research Centre of Sfax, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Technologies for Image and Signal Processing, University of Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"Digital Research Centre of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210119561"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8881,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.86811642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"17","issue":"4","first_page":"651","last_page":"655"},"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":0.9991000294685364,"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":0.998199999332428,"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":0.9497406482696533},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.9414516687393188},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.7177398800849915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6890621185302734},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6886653900146484},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6542644500732422},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5669867396354675},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.5669689178466797},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5580958127975464},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.554537832736969},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5260094404220581},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48620718717575073},{"id":"https://openalex.org/keywords/contourlet","display_name":"Contourlet","score":0.4198223948478699},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21623000502586365},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.1333463191986084},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07978576421737671}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.9497406482696533},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9414516687393188},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.7177398800849915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6890621185302734},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6886653900146484},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6542644500732422},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5669867396354675},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.5669689178466797},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5580958127975464},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.554537832736969},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5260094404220581},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48620718717575073},{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.4198223948478699},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21623000502586365},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.1333463191986084},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07978576421737671},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2928181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2928181","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4000000059604645,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W22040386","https://openalex.org/W1522301498","https://openalex.org/W1654063000","https://openalex.org/W1885185971","https://openalex.org/W1934334601","https://openalex.org/W1970836680","https://openalex.org/W1974745581","https://openalex.org/W2053295068","https://openalex.org/W2072451313","https://openalex.org/W2074788894","https://openalex.org/W2088538848","https://openalex.org/W2097259623","https://openalex.org/W2100895099","https://openalex.org/W2103504761","https://openalex.org/W2112796928","https://openalex.org/W2114161542","https://openalex.org/W2152254169","https://openalex.org/W2171211028","https://openalex.org/W2396384022","https://openalex.org/W2462592242","https://openalex.org/W2619662254","https://openalex.org/W2767224066","https://openalex.org/W2963442801","https://openalex.org/W2964121744","https://openalex.org/W3001325107","https://openalex.org/W4231697575","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W4254327447","https://openalex.org/W2033186943","https://openalex.org/W2816335205","https://openalex.org/W2158371478","https://openalex.org/W2158027388","https://openalex.org/W2182807969","https://openalex.org/W2084382156","https://openalex.org/W2019692878","https://openalex.org/W4313315820","https://openalex.org/W2158398018"],"abstract_inverted_index":{"Pan-sharpening":[0],"aims":[1],"to":[2,19,26,66,94],"fuse":[3],"a":[4,21,38],"low-spatial-resolution":[5],"multispectral":[6],"(MS)":[7],"image":[8,15,25],"with":[9,69,92],"an":[10],"associated":[11],"higher":[12,90],"resolution":[13],"panchromatic":[14],"(PAN)":[16],"in":[17,101],"order":[18],"produce":[20],"high-resolution":[22],"MS":[23,64],"(HRMS)":[24],"overcome":[27],"physical":[28],"limitation":[29],"of":[30,58],"satellite":[31],"sensors.":[32],"In":[33],"this":[34],"letter,":[35],"we":[36],"propose":[37],"new":[39,98],"generalized":[40],"Laplacian":[41],"pyramid":[42],"gain":[43],"injection":[44,60],"prediction":[45],"based":[46],"on":[47,80],"convolutional":[48],"neural":[49],"networks":[50],"(GIP-CNN)":[51],"for":[52,62],"pan-sharpening,":[53],"which":[54],"estimates":[55],"the":[56,59,74,95],"values":[57],"gains":[61],"each":[63],"band":[65],"complement":[67],"it":[68],"spatial":[70,103],"details":[71],"extracted":[72],"from":[73,82],"PAN":[75],"image.":[76],"The":[77],"experimental":[78],"results":[79],"images":[81],"different":[83],"satellites":[84],"show":[85],"that":[86],"GIP-CNN":[87],"can":[88],"achieve":[89],"performances":[91],"respect":[93],"state-of-the-art":[96],"and":[97,104],"CNN-based":[99],"methods":[100],"both":[102],"spectral":[105],"qualities.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}