{"id":"https://openalex.org/W3192121291","doi":"https://doi.org/10.1109/iwcmc51323.2021.9498829","title":"An Enhanced Pansharpening Approach Based on Second-Order Polynomial Regression","display_name":"An Enhanced Pansharpening Approach Based on Second-Order Polynomial Regression","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3192121291","doi":"https://doi.org/10.1109/iwcmc51323.2021.9498829","mag":"3192121291"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc51323.2021.9498829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc51323.2021.9498829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-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/A5024776460","display_name":"Hind Hallabia","orcid":"https://orcid.org/0000-0001-8256-6646"},"institutions":[{"id":"https://openalex.org/I4210114274","display_name":"Laboratoire d\u2019Informatique et Syst\u00e8mes","ror":"https://ror.org/0257sgk90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I143002897","https://openalex.org/I21491767","https://openalex.org/I4210114274"]},{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Hind Hallabia","raw_affiliation_strings":["LIS, GMOD Aix Marseille Universit\u00e9, Marseille, France"],"affiliations":[{"raw_affiliation_string":"LIS, GMOD Aix Marseille Universit\u00e9, Marseille, France","institution_ids":["https://openalex.org/I21491767","https://openalex.org/I4210114274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091127899","display_name":"Habib Hamam","orcid":"https://orcid.org/0000-0002-5320-1012"},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Habib Hamam","raw_affiliation_strings":["School of Elect. Eng. and Electronic Eng., Uni. of Johannesburg, South-Africa"],"affiliations":[{"raw_affiliation_string":"School of Elect. Eng. and Electronic Eng., Uni. of Johannesburg, South-Africa","institution_ids":["https://openalex.org/I24027795"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024776460"],"corresponding_institution_ids":["https://openalex.org/I21491767","https://openalex.org/I4210114274"],"apc_list":null,"apc_paid":null,"fwci":0.374,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64332326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1489","last_page":"1493"},"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":0.996999979019165,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.9620124101638794},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.9506449699401855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6168150305747986},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.5528572797775269},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.503269612789154},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4704139530658722},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.4599567651748657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45177051424980164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4083772301673889},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34915077686309814},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27347907423973083},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1282755732536316}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.9620124101638794},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9506449699401855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6168150305747986},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.5528572797775269},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.503269612789154},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4704139530658722},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4599567651748657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45177051424980164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4083772301673889},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34915077686309814},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27347907423973083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1282755732536316},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc51323.2021.9498829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc51323.2021.9498829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2034562813","https://openalex.org/W2064366277","https://openalex.org/W2088184307","https://openalex.org/W2113338111","https://openalex.org/W2123046940","https://openalex.org/W2124743705","https://openalex.org/W2163677711","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2172185514","https://openalex.org/W2396384022","https://openalex.org/W2502759836","https://openalex.org/W2519236071","https://openalex.org/W2616590213","https://openalex.org/W2806865914","https://openalex.org/W2945218802","https://openalex.org/W2964372277","https://openalex.org/W3009431086","https://openalex.org/W3038989584","https://openalex.org/W6762082440","https://openalex.org/W6765880186"],"related_works":["https://openalex.org/W2124952510","https://openalex.org/W1502637513","https://openalex.org/W2013199662","https://openalex.org/W2375311607","https://openalex.org/W1930929277","https://openalex.org/W2163677711","https://openalex.org/W2036727360","https://openalex.org/W2158394102","https://openalex.org/W2240559849","https://openalex.org/W2011962637"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"propose":[4],"applying":[5],"a":[6,17,29],"non-linear":[7],"strategy":[8],"to":[9,37,130],"estimate":[10],"the":[11,48,51,55,61,70,73,95,110,131],"novel":[12,56],"synthetic":[13,57],"intensity":[14,58],"component":[15],"through":[16],"second-order":[18],"polynomial":[19],"regression":[20],"analysis,":[21],"such":[22],"that":[23],"it":[24],"could":[25],"be":[26],"expressed":[27],"as":[28,47],"linear":[30,117],"combination":[31],"of":[32,102],"multispectral":[33,75,122],"bands":[34],"in":[35],"addition":[36],"their":[38],"weighted":[39],"joint":[40],"products.":[41],"Details":[42],"maps":[43],"are,":[44],"therefore,":[45],"obtained":[46],"residual":[49],"between":[50],"panchromatic":[52],"(PAN)":[53],"and":[54,97,119],"component.":[59],"Indeed,":[60],"high-resolution":[62],"Multispectral":[63],"(MS)":[64],"image":[65],"is":[66,106],"produced":[67],"by":[68,81,86,94],"transferring":[69],"details":[71],"into":[72],"expanded":[74],"bands.":[76],"The":[77,100],"quality":[78],"improvements":[79],"achievable":[80],"our":[82,103],"proposal":[83],"are":[84],"evaluated":[85],"using":[87],"two":[88],"high":[89],"resolution":[90],"data":[91],"sets":[92],"collected":[93],"WorldView-3":[96],"WorldView-4":[98],"sensors.":[99],"performance":[101],"proposed":[104],"technique":[105],"clearly":[107],"shown":[108],"against":[109],"existing":[111],"state-of-the-art":[112],"pansharpening":[113],"methods":[114],"(especially":[115],"with":[116,124,128],"schemes)":[118],"particularly":[120],"for":[121],"channels":[123],"non-overlapping":[125],"spectral":[126],"wavelengths":[127],"respect":[129],"PAN":[132],"image.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}