{"id":"https://openalex.org/W2936109839","doi":"https://doi.org/10.1109/jstars.2019.2902847","title":"Fusion of Hyperspectral and Multispectral Images Based on a Bayesian Nonparametric Approach","display_name":"Fusion of Hyperspectral and Multispectral Images Based on a Bayesian Nonparametric Approach","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2936109839","doi":"https://doi.org/10.1109/jstars.2019.2902847","mag":"2936109839"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2019.2902847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2902847","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5050659524","display_name":"Lichun Sui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lichun Sui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361215","display_name":"Li Li","orcid":"https://orcid.org/0000-0002-6664-5800"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6664-5800","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613889","display_name":"Jonathan Li","orcid":"https://orcid.org/0000-0001-7899-0049"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jonathan Li","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7899-0049","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692096","display_name":"Nan Chen","orcid":"https://orcid.org/0000-0003-4598-1466"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nan Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5041834663","display_name":"Yongqing Jiao","orcid":"https://orcid.org/0000-0002-8586-6350"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongqing Jiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":1.9935,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.8803681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":"4","first_page":"1205","last_page":"1218"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9969000220298767,"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/multispectral-image","display_name":"Multispectral image","score":0.6764957308769226},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6314864158630371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5903279185295105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5555482506752014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5547263026237488},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5184228420257568},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4823426604270935},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4715721011161804},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.46029600501060486},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.4439208209514618},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3244467079639435}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6764957308769226},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6314864158630371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5903279185295105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5555482506752014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5547263026237488},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5184228420257568},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4823426604270935},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4715721011161804},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.46029600501060486},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.4439208209514618},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3244467079639435}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2019.2902847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2902847","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1552547945","display_name":"\u57fa\u4e8e\u4e09\u7ef4\u70b9\u4e91\u7684\u9ad8\u6e05\u5730\u56fe\u5feb\u901f\u8bed\u4e49\u6807\u6ce8\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41871380","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1926832111","display_name":"\u9ad8\u5206\u8fa8\u7387\u9065\u611f\u5f71\u50cf\u4fe1\u606f\u63d0\u53d6\u7684\u7279\u5f81\u7ed3\u6784\u5316\u591a\u5c3a\u5ea6\u5206\u6790\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41571346","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3256712819","display_name":null,"funder_award_id":"41601345","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6418779477","display_name":null,"funder_award_id":"4141379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6693275113","display_name":"\u5730\u9762\u4e09\u7ef4\u6fc0\u5149\u626b\u63cf\u6280\u672f\uff08TLS\uff09\u5728\u6ed1\u5761\u76d1\u6d4b\u4e0e\u8bc4\u4ef7\u4e2d\u7684\u5e94\u7528\u7814\u7a76","funder_award_id":"41372330","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324094","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40"},{"id":"https://openalex.org/F4320324116","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W54434497","https://openalex.org/W1495168473","https://openalex.org/W1522046140","https://openalex.org/W1772504446","https://openalex.org/W1916874600","https://openalex.org/W1940108662","https://openalex.org/W1976496742","https://openalex.org/W1990231296","https://openalex.org/W1991460509","https://openalex.org/W2001800591","https://openalex.org/W2004981944","https://openalex.org/W2016860790","https://openalex.org/W2021046129","https://openalex.org/W2025466678","https://openalex.org/W2025498056","https://openalex.org/W2030585344","https://openalex.org/W2031596845","https://openalex.org/W2053804748","https://openalex.org/W2058532290","https://openalex.org/W2069231830","https://openalex.org/W2070424424","https://openalex.org/W2078855750","https://openalex.org/W2097259623","https://openalex.org/W2100056645","https://openalex.org/W2107115785","https://openalex.org/W2111924917","https://openalex.org/W2117111086","https://openalex.org/W2120053475","https://openalex.org/W2121058967","https://openalex.org/W2123031198","https://openalex.org/W2124743705","https://openalex.org/W2129953395","https://openalex.org/W2131864940","https://openalex.org/W2140433132","https://openalex.org/W2144948131","https://openalex.org/W2153663612","https://openalex.org/W2162842940","https://openalex.org/W2164306391","https://openalex.org/W2171108951","https://openalex.org/W2194818953","https://openalex.org/W2221899823","https://openalex.org/W2314528731","https://openalex.org/W2315347323","https://openalex.org/W2322520677","https://openalex.org/W2323104748","https://openalex.org/W2327302159","https://openalex.org/W2419170233","https://openalex.org/W2511036283","https://openalex.org/W2558072172","https://openalex.org/W2560482433","https://openalex.org/W2594639291","https://openalex.org/W2625894731","https://openalex.org/W2795686633","https://openalex.org/W2799744936","https://openalex.org/W2800955846","https://openalex.org/W2826818064","https://openalex.org/W2963442801","https://openalex.org/W3099843321","https://openalex.org/W3102912004","https://openalex.org/W3104960002","https://openalex.org/W4292691288","https://openalex.org/W6602248423","https://openalex.org/W6681029311","https://openalex.org/W6684188680","https://openalex.org/W6688939084"],"related_works":["https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W1987483041","https://openalex.org/W2374021060","https://openalex.org/W2123736748","https://openalex.org/W4231537836","https://openalex.org/W2094015288","https://openalex.org/W2335394797","https://openalex.org/W1243940979","https://openalex.org/W2501725260"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,27,39,62,117],"new":[4],"approach":[5,20,87,178],"to":[6,138,144,154],"fusion":[7,24,120],"of":[8,64,134,170],"hyperspectral":[9],"and":[10,53,66,78,102,166],"multispectral":[11],"images":[12,173],"based":[13],"on":[14,61],"Bayesian":[15,85,149],"nonparametric":[16,86,150],"sparse":[17,55,67,79,157],"representation.":[18],"The":[19,43,148],"formulates":[21],"the":[22,34,54,71,75,84,89,94,104,112,119,130,140,145,156,176,180],"image":[23,36],"problem":[25,121],"within":[26],"constrained":[28],"optimization":[29,127,141],"framework,":[30],"while":[31],"assuming":[32],"that":[33,175],"target":[35,146],"lives":[37],"in":[38],"lower":[40],"dimensional":[41],"subspace.":[42],"subspace":[44],"transform":[45],"matrix":[46],"is":[47,58,122,136,152],"determined":[48],"by":[49,83,107],"principal":[50],"component":[51],"analysis,":[52],"regularization":[56],"term":[57],"designed":[59],"depending":[60],"set":[63],"dictionaries":[65],"coefficients":[68,80],"associated":[69],"with":[70,88,142],"observed":[72],"images.":[73],"Specifically,":[74],"dictionary":[76],"elements":[77],"are":[81],"learned":[82],"beta-Bernoulli":[90],"process,":[91,128],"which":[92],"establishes":[93],"probability":[95],"distribution":[96],"models":[97],"for":[98],"each":[99],"latent":[100],"variable":[101],"calculates":[103],"posterior":[105,114],"distributions":[106,115],"Gibbs":[108],"sampling.":[109],"Finally,":[110],"serving":[111],"obtained":[113],"as":[116],"priori,":[118],"solved":[123],"via":[124],"an":[125],"alternate":[126,131],"where":[129],"direction":[132],"method":[133,151],"multipliers":[135],"applied":[137],"perform":[139],"respect":[143],"image.":[147],"used":[153],"optimize":[155],"coefficients.":[158],"Exhaustive":[159],"experiments":[160],"using":[161],"both":[162],"two":[163],"public":[164],"datasets":[165],"one":[167],"real-world":[168],"dataset":[169],"remote":[171],"sensing":[172],"show":[174],"proposed":[177],"outperforms":[179],"existing":[181],"state-of-the-art":[182],"methods.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}