{"id":"https://openalex.org/W3045247026","doi":"https://doi.org/10.1080/10095020.2020.1785958","title":"Support vector machine regression (SVR)-based nonlinear modeling of radiometric transforming relation for the coarse-resolution data-referenced relative radiometric normalization (RRN)","display_name":"Support vector machine regression (SVR)-based nonlinear modeling of radiometric transforming relation for the coarse-resolution data-referenced relative radiometric normalization (RRN)","publication_year":2020,"publication_date":"2020-07-02","ids":{"openalex":"https://openalex.org/W3045247026","doi":"https://doi.org/10.1080/10095020.2020.1785958","mag":"3045247026"},"language":"en","primary_location":{"id":"doi:10.1080/10095020.2020.1785958","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2020.1785958","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2020.1785958?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2020.1785958?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075808202","display_name":"Jing Geng","orcid":"https://orcid.org/0000-0003-4076-6134"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Geng","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China","School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072868866","display_name":"Wenxia Gan","orcid":"https://orcid.org/0000-0002-2335-208X"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenxia Gan","raw_affiliation_strings":["School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102718620","display_name":"Jinying Xu","orcid":"https://orcid.org/0000-0001-9589-6396"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinying Xu","raw_affiliation_strings":["School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109754683","display_name":"Ruqin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099912","display_name":"Wuhan Science and Technology Bureau","ror":"https://ror.org/016s74507","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210099912"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruqin Yang","raw_affiliation_strings":["Wuhan Natural Resources and Planning Information Center, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Natural Resources and Planning Information Center, Wuhan, China","institution_ids":["https://openalex.org/I4210099912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101399666","display_name":"Shuliang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuliang Wang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China","School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072868866"],"corresponding_institution_ids":["https://openalex.org/I91125648"],"apc_list":{"value":1625,"currency":"GBP","value_usd":1993},"apc_paid":{"value":1625,"currency":"GBP","value_usd":1993},"fwci":23.589,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.98926886,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":"3","first_page":"237","last_page":"247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9829999804496765,"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":0.9786999821662903,"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/normalization","display_name":"Normalization (sociology)","score":0.8904438018798828},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6330689191818237},{"id":"https://openalex.org/keywords/radiometric-dating","display_name":"Radiometric dating","score":0.4930226504802704},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.47067174315452576},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"Nonlinear regression","score":0.4511708915233612},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.434581995010376},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.43290770053863525},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.42666566371917725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4080851078033447},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40446335077285767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3955317735671997},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.36379167437553406},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3106606900691986},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.26521575450897217},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24912670254707336},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1246492862701416}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.8904438018798828},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6330689191818237},{"id":"https://openalex.org/C170187044","wikidata":"https://www.wikidata.org/wiki/Q214753","display_name":"Radiometric dating","level":2,"score":0.4930226504802704},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.47067174315452576},{"id":"https://openalex.org/C46889948","wikidata":"https://www.wikidata.org/wiki/Q2755024","display_name":"Nonlinear regression","level":3,"score":0.4511708915233612},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.434581995010376},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.43290770053863525},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.42666566371917725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4080851078033447},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40446335077285767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3955317735671997},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.36379167437553406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3106606900691986},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.26521575450897217},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24912670254707336},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1246492862701416},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/10095020.2020.1785958","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2020.1785958","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2020.1785958?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e273d29d9bfc4775a6488747658e2001","is_oa":true,"landing_page_url":"https://doaj.org/article/e273d29d9bfc4775a6488747658e2001","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Geo-spatial Information Science, Vol 23, Iss 3, Pp 237-247 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/10095020.2020.1785958","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2020.1785958","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2020.1785958?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2524470563","display_name":null,"funder_award_id":"grant number 41701415","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4255245103","display_name":null,"funder_award_id":"grant number K201724","funder_id":"https://openalex.org/F4320325438","funder_display_name":"Wuhan Institute of Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325438","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3045247026.pdf","grobid_xml":"https://content.openalex.org/works/W3045247026.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W181107242","https://openalex.org/W1242785560","https://openalex.org/W1967317082","https://openalex.org/W1987531840","https://openalex.org/W1993743913","https://openalex.org/W1993869915","https://openalex.org/W2003795236","https://openalex.org/W2006262236","https://openalex.org/W2007178835","https://openalex.org/W2009269885","https://openalex.org/W2047617221","https://openalex.org/W2051103995","https://openalex.org/W2056811372","https://openalex.org/W2067441435","https://openalex.org/W2077820284","https://openalex.org/W2079740553","https://openalex.org/W2085637561","https://openalex.org/W2106870620","https://openalex.org/W2109943925","https://openalex.org/W2119821739","https://openalex.org/W2138314062","https://openalex.org/W2139267096","https://openalex.org/W2158001550","https://openalex.org/W2164943663","https://openalex.org/W2241166887","https://openalex.org/W2251774696","https://openalex.org/W2567873607","https://openalex.org/W2746253423","https://openalex.org/W2900768820","https://openalex.org/W2911964244","https://openalex.org/W2912854040","https://openalex.org/W2961952440","https://openalex.org/W4237422538"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2472360116","https://openalex.org/W2966911753","https://openalex.org/W2288557197","https://openalex.org/W4233024177","https://openalex.org/W2043107859","https://openalex.org/W2101914902","https://openalex.org/W2163304574","https://openalex.org/W3174613421","https://openalex.org/W2596971580"],"abstract_inverted_index":{"Radiometric":[0,17],"normalization,":[1],"as":[2],"an":[3,43],"essential":[4,44],"step":[5],"for":[6,25,67,74,124],"multi-source":[7],"and":[8,38,98,144],"multi-temporal":[9],"data":[10,96,101],"processing,":[11],"has":[12,21],"received":[13],"critical":[14],"attention.":[15],"Relative":[16],"Normalization":[18],"(RRN)":[19],"method":[20,106,135],"been":[22],"primarily":[23],"used":[24,66],"eliminating":[26],"the":[27,35,39,55,69,75,81,84,104,133,140,147],"radiometric":[28,31,51,71,125,141],"inconsistency.":[29],"The":[30,129],"transforming":[32,52,72,126,142],"relation":[33,53,73,127,143],"between":[34],"subject":[36],"image":[37,41],"reference":[40],"is":[42,65,107],"aspect":[45],"of":[46,83,89],"RRN.":[47,78],"Aimed":[48],"at":[49],"accurate":[50],"modeling,":[54],"learning-based":[56],"non-linear":[57],"regression":[58],"method,":[59,86],"Support":[60],"Vector":[61],"machine":[62],"Regression":[63],"(SVR)":[64],"fitting":[68,139],"complicated":[70],"coarse-resolution":[76],"data-referenced":[77],"To":[79],"evaluate":[80],"effectiveness":[82],"proposed":[85,105,134],"a":[87],"series":[88],"experiments":[90,97],"are":[91],"performed,":[92],"including":[93],"two":[94],"synthetic":[95],"one":[99],"real":[100],"experiment.":[102],"And":[103],"compared":[108],"with":[109],"other":[110],"methods":[111],"that":[112,132],"use":[113],"linear":[114],"regression,":[115],"Artificial":[116],"Neural":[117],"Network":[118],"(ANN)":[119],"or":[120],"Random":[121],"Forest":[122],"(RF)":[123],"modeling.":[128],"results":[130],"show":[131],"performs":[136],"well":[137],"on":[138],"could":[145],"enhance":[146],"RRN":[148],"performance.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
