{"id":"https://openalex.org/W1947654004","doi":"https://doi.org/10.1109/igarss.2005.1526645","title":"Bayesian linear regression method and it's application in quantitative remote sensing inversion","display_name":"Bayesian linear regression method and it's application in quantitative remote sensing inversion","publication_year":2005,"publication_date":"2005-11-15","ids":{"openalex":"https://openalex.org/W1947654004","doi":"https://doi.org/10.1109/igarss.2005.1526645","mag":"1947654004"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2005.1526645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1526645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","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/A5089460810","display_name":"Yinhong Li","orcid":"https://orcid.org/0000-0002-6954-4589"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinhong Li","raw_affiliation_strings":["Department of Mathematics, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030203947","display_name":"Hongxia Cui","orcid":"https://orcid.org/0000-0002-0137-2450"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxia Cui","raw_affiliation_strings":["Research Center for Remote Sensing and GIS, School of Geography, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Remote Sensing and GIS, School of Geography, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101850450","display_name":"Hua Yang","orcid":"https://orcid.org/0009-0000-1050-6177"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Yang","raw_affiliation_strings":["Research Center for Remote Sensing and GIS, School of Geography, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Remote Sensing and GIS, School of Geography, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089460810"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0681974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"3670","last_page":"3674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13203","display_name":"Environmental Changes in China","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.964900016784668,"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/computer-science","display_name":"Computer science","score":0.6262960433959961},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6099979877471924},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5611671209335327},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.49336567521095276},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.450662761926651},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.4461812674999237},{"id":"https://openalex.org/keywords/bayesian-linear-regression","display_name":"Bayesian linear regression","score":0.4182603657245636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35838794708251953},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3528280556201935},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3364362120628357},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27829989790916443},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2693772315979004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17917132377624512},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17520540952682495},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.17047229409217834},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.06709238886833191}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6262960433959961},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6099979877471924},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5611671209335327},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.49336567521095276},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.450662761926651},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.4461812674999237},{"id":"https://openalex.org/C37903108","wikidata":"https://www.wikidata.org/wiki/Q4874474","display_name":"Bayesian linear regression","level":4,"score":0.4182603657245636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35838794708251953},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3528280556201935},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3364362120628357},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27829989790916443},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2693772315979004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17917132377624512},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17520540952682495},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.17047229409217834},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.06709238886833191},{"id":"https://openalex.org/C77928131","wikidata":"https://www.wikidata.org/wiki/Q193343","display_name":"Tectonics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2005.1526645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1526645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","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":9,"referenced_works":["https://openalex.org/W2033815159","https://openalex.org/W2045656233","https://openalex.org/W2102970817","https://openalex.org/W2115764998","https://openalex.org/W2382088646","https://openalex.org/W4247690662","https://openalex.org/W4385438173","https://openalex.org/W6677251846","https://openalex.org/W7007858949"],"related_works":["https://openalex.org/W2604963692","https://openalex.org/W228771216","https://openalex.org/W3100117756","https://openalex.org/W2363843476","https://openalex.org/W2606692828","https://openalex.org/W4281921183","https://openalex.org/W4309298396","https://openalex.org/W4248534646","https://openalex.org/W2074089485","https://openalex.org/W2378624038"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}