{"id":"https://openalex.org/W3035222445","doi":"https://doi.org/10.3390/rs12111903","title":"Insect Mass Estimation Based on Radar Cross Section Parameters and Support Vector Regression Algorithm","display_name":"Insect Mass Estimation Based on Radar Cross Section Parameters and Support Vector Regression Algorithm","publication_year":2020,"publication_date":"2020-06-11","ids":{"openalex":"https://openalex.org/W3035222445","doi":"https://doi.org/10.3390/rs12111903","mag":"3035222445"},"language":"en","primary_location":{"id":"doi:10.3390/rs12111903","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12111903","pdf_url":"https://www.mdpi.com/2072-4292/12/11/1903/pdf?version=1592212395","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/11/1903/pdf?version=1592212395","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024045689","display_name":"Cheng Hu","orcid":"https://orcid.org/0000-0001-7582-5291"},"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":"Cheng Hu","raw_affiliation_strings":["Key Laboratory of Electronic and Information Technology in Satellite Navigation (Beijing Institute of Technology), Ministry of Education, Beijing 100081, China","Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Electronic and Information Technology in Satellite Navigation (Beijing Institute of Technology), Ministry of Education, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063138454","display_name":"Shaoyang Kong","orcid":"https://orcid.org/0000-0002-2439-1929"},"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":"Shaoyang Kong","raw_affiliation_strings":["Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695180","display_name":"Rui Wang","orcid":"https://orcid.org/0009-0001-9020-4984"},"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":true,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403572","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0003-3242-1689"},"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":"Fan Zhang","raw_affiliation_strings":["Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022940633","display_name":"Lianjun Wang","orcid":"https://orcid.org/0000-0003-3709-9801"},"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":"Lianjun Wang","raw_affiliation_strings":["Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115695180"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.2543,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.75008104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"12","issue":"11","first_page":"1903","last_page":"1903"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6045876741409302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5891813635826111},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.5617093443870544},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5130919218063354},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4803694188594818},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.4720892608165741},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4719589948654175},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4645274579524994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4575987458229065},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.45492568612098694},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.43039610981941223},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41549697518348694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36933350563049316},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32121002674102783},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23194974660873413},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14878863096237183},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08662790060043335}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6045876741409302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5891813635826111},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.5617093443870544},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5130919218063354},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4803694188594818},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4720892608165741},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4719589948654175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4645274579524994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4575987458229065},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.45492568612098694},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43039610981941223},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41549697518348694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36933350563049316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32121002674102783},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23194974660873413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14878863096237183},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08662790060043335},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12111903","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12111903","pdf_url":"https://www.mdpi.com/2072-4292/12/11/1903/pdf?version=1592212395","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e660d73f5a014e87a0dbc63b33330d8b","is_oa":true,"landing_page_url":"https://doaj.org/article/e660d73f5a014e87a0dbc63b33330d8b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 12, Iss 11, p 1903 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/11/1903/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12111903","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 12; Issue 11; Pages: 1903","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12111903","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12111903","pdf_url":"https://www.mdpi.com/2072-4292/12/11/1903/pdf?version=1592212395","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323155","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3035222445.pdf","grobid_xml":"https://content.openalex.org/works/W3035222445.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W799416154","https://openalex.org/W1598661758","https://openalex.org/W1964357740","https://openalex.org/W1973441339","https://openalex.org/W1979839678","https://openalex.org/W1984743444","https://openalex.org/W1990273831","https://openalex.org/W2005376290","https://openalex.org/W2009342662","https://openalex.org/W2011471299","https://openalex.org/W2030640174","https://openalex.org/W2032041896","https://openalex.org/W2045256553","https://openalex.org/W2065772955","https://openalex.org/W2078619499","https://openalex.org/W2093830674","https://openalex.org/W2143426320","https://openalex.org/W2153635508","https://openalex.org/W2165686586","https://openalex.org/W2168452669","https://openalex.org/W2174157052","https://openalex.org/W2179739984","https://openalex.org/W2324266786","https://openalex.org/W2464660870","https://openalex.org/W2565114801","https://openalex.org/W2608646037","https://openalex.org/W2619890661","https://openalex.org/W2789665835","https://openalex.org/W2795586613","https://openalex.org/W2906063959","https://openalex.org/W2928330015","https://openalex.org/W2984960739","https://openalex.org/W3012299909","https://openalex.org/W4239510810","https://openalex.org/W4245311267","https://openalex.org/W4254808304","https://openalex.org/W6651570764"],"related_works":["https://openalex.org/W2092994918","https://openalex.org/W1994848651","https://openalex.org/W4289356671","https://openalex.org/W2012246571","https://openalex.org/W2389155397","https://openalex.org/W2374286188","https://openalex.org/W4238233914","https://openalex.org/W2312753042","https://openalex.org/W1769516736","https://openalex.org/W2165884543"],"abstract_inverted_index":{"Radar":[0],"cross":[1],"section":[2],"(RCS)":[3],"parameters":[4,75],"of":[5,21,34,81,113,173,182],"insect":[6,61,82,140,161],"targets":[7],"contain":[8],"information":[9],"related":[10],"to":[11,95,109,166],"their":[12],"morphological":[13,25],"parameters,":[14,49],"which":[15,50],"are":[16,37],"helpful":[17],"for":[18,78,146,160],"the":[19,53,79,97,111,114,131,152,170,179],"identification":[20],"migratory":[22],"insects.":[23],"Several":[24,73],"parameter":[26],"estimation":[27,54,63,80,134,142,183],"methods":[28,143],"have":[29],"been":[30],"presented.":[31],"However,":[32],"most":[33],"these":[35],"estimations":[36],"performed":[38],"based":[39,67,87],"on":[40,68,88],"polynomial":[41],"fitting":[42],"methods,":[43],"using":[44],"only":[45],"one":[46],"or":[47],"two":[48],"may":[51,177],"limit":[52,178],"accuracy.":[55,184],"In":[56],"this":[57],"paper,":[58],"a":[59,102],"new":[60],"mass":[62,133,141,162],"method":[64,154],"is":[65,155],"proposed":[66,115,153],"support":[69],"vector":[70,85],"regression":[71,86],"(SVR).":[72],"RCS":[74],"were":[76,119,144],"extracted":[77,120],"mass.":[83],"Support":[84],"recursive":[89],"feature":[90,99,125],"elimination":[91],"(SVRRFE)":[92],"was":[93,107,136],"used":[94],"obtain":[96],"optimal":[98,124,132],"subset.":[100],"Specifically,":[101],"dataset":[103],"including":[104],"367":[105],"specimens":[106],"included":[108],"evaluate":[110],"performance":[112],"method.":[116],"Fifteen":[117],"features":[118,129],"and":[121,130,158],"ranked.":[122],"The":[123,148],"subset":[126],"contained":[127],"six":[128],"accuracy":[135],"78%.":[137],"Additionally,":[138],"traditional":[139],"analyzed":[145],"comparison.":[147],"results":[149],"prove":[150],"that":[151,169],"more":[156],"effective":[157],"accurate":[159],"estimation.":[163],"It":[164],"needs":[165],"be":[167],"emphasized":[168],"poor":[171],"number":[172],"experimental":[174],"insects":[175],"available":[176],"further":[180],"improvement":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2020-06-19T00:00:00"}