{"id":"https://openalex.org/W2783046407","doi":"https://doi.org/10.1109/uemcon.2017.8248993","title":"New sparsity based pansharpening algorithms for hyperspectral images","display_name":"New sparsity based pansharpening algorithms for hyperspectral images","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2783046407","doi":"https://doi.org/10.1109/uemcon.2017.8248993","mag":"2783046407"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon.2017.8248993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2017.8248993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","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/A5083651030","display_name":"Chiman Kwan","orcid":"https://orcid.org/0000-0002-4341-0769"},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chiman Kwan","raw_affiliation_strings":["Signal Processing, Inc., Rockville, Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Signal Processing, Inc., Rockville, Maryland, USA","institution_ids":["https://openalex.org/I4210121626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022771276","display_name":"Bence Budavari","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bence Budavari","raw_affiliation_strings":["Signal Processing, Inc., Rockville, Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Signal Processing, Inc., Rockville, Maryland, USA","institution_ids":["https://openalex.org/I4210121626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080867745","display_name":"Minh N. Dao","orcid":"https://orcid.org/0000-0002-8074-6675"},"institutions":[{"id":"https://openalex.org/I4210096458","display_name":"Applied Research (United States)","ror":"https://ror.org/00qw43163","country_code":"US","type":"company","lineage":["https://openalex.org/I4210096458"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minh Dao","raw_affiliation_strings":["Applied Research LLC, Rockville, Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Applied Research LLC, Rockville, Maryland, USA","institution_ids":["https://openalex.org/I4210096458"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057655617","display_name":"Jin Zhou","orcid":"https://orcid.org/0000-0003-2447-3606"},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jin Zhou","raw_affiliation_strings":["Signal Processing, Inc., Rockville, Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Signal Processing, Inc., Rockville, Maryland, USA","institution_ids":["https://openalex.org/I4210121626"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083651030"],"corresponding_institution_ids":["https://openalex.org/I4210121626"],"apc_list":null,"apc_paid":null,"fwci":3.0605,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92857143,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":null,"first_page":"88","last_page":"93"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9625517129898071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6604773998260498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6323087215423584},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.58714759349823},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.538662314414978},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5251940488815308},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5008711814880371},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46868422627449036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4152887761592865}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9625517129898071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6604773998260498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6323087215423584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.58714759349823},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.538662314414978},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5251940488815308},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5008711814880371},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46868422627449036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4152887761592865}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon.2017.8248993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2017.8248993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1553305639","https://openalex.org/W1654063000","https://openalex.org/W1799163428","https://openalex.org/W1980110630","https://openalex.org/W1990231296","https://openalex.org/W2001800591","https://openalex.org/W2021046129","https://openalex.org/W2052127078","https://openalex.org/W2065030431","https://openalex.org/W2079302740","https://openalex.org/W2097259623","https://openalex.org/W2116148865","https://openalex.org/W2124463804","https://openalex.org/W2124743705","https://openalex.org/W2144948131","https://openalex.org/W2157494358","https://openalex.org/W2171108951","https://openalex.org/W2292987679","https://openalex.org/W2523686528","https://openalex.org/W2538179893","https://openalex.org/W2610484101","https://openalex.org/W2617586382","https://openalex.org/W2622007554","https://openalex.org/W2736842229","https://openalex.org/W2745963626","https://openalex.org/W2748015792","https://openalex.org/W2773140478","https://openalex.org/W2773267120","https://openalex.org/W2782611771","https://openalex.org/W2782647902","https://openalex.org/W2783076849","https://openalex.org/W2791213921","https://openalex.org/W2949483514","https://openalex.org/W2963381389","https://openalex.org/W2963442801","https://openalex.org/W3102912004","https://openalex.org/W6633088995","https://openalex.org/W6678426626","https://openalex.org/W6747099617","https://openalex.org/W6747772132","https://openalex.org/W6747973004","https://openalex.org/W6748935211"],"related_works":["https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"new":[5,63,69],"sparsity":[6,33,64],"based":[7,34],"algorithms":[8,42],"in":[9,71],"generating":[10,72],"a":[11,18,24,68],"high":[12,19,73],"resolution":[13,20,26,74],"hyperspectral":[14,27,52,75],"image":[15,22,53],"by":[16],"fusing":[17],"color":[21],"with":[23,39],"low":[25],"image.":[28],"Mathematical":[29],"formulation":[30,65],"of":[31],"the":[32,62,78],"approaches":[35],"is":[36],"presented.":[37],"Comparison":[38],"other":[40],"pansharpening":[41],"using":[43,50],"actual":[44],"data":[45,54],"has":[46],"been":[47],"carried":[48],"out":[49],"two":[51],"sets.":[55],"Initial":[56],"results":[57],"are":[58],"encouraging.":[59],"Most":[60],"importantly,":[61],"points":[66],"to":[67],"direction":[70],"images":[76,80],"where":[77],"raw":[79],"may":[81],"be":[82],"noisy.":[83]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}