{"id":"https://openalex.org/W4312994156","doi":"https://doi.org/10.1109/igarss46834.2022.9884608","title":"A Novel Rice Sensitive Radar Index Model of Rice Recognition Using GF-3 Satellite","display_name":"A Novel Rice Sensitive Radar Index Model of Rice Recognition Using GF-3 Satellite","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312994156","doi":"https://doi.org/10.1109/igarss46834.2022.9884608"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884608","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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/A5100386760","display_name":"Dandan Zhang","orcid":"https://orcid.org/0000-0001-7649-7605"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dandan Zhang","raw_affiliation_strings":["Land Satellite Remote Sensing Application Center, MNR,Beijing,China,100048"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Land Satellite Remote Sensing Application Center, MNR,Beijing,China,100048","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029798850","display_name":"Yingjuan Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yingjuan Wei","raw_affiliation_strings":["Land Satellite Remote Sensing Application Center, MNR,Beijing,China,100048"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Land Satellite Remote Sensing Application Center, MNR,Beijing,China,100048","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102663415","display_name":"Chenchao Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenchao Xiao","raw_affiliation_strings":["Land Satellite Remote Sensing Application Center, MNR,Beijing,China,100048"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Land Satellite Remote Sensing Application Center, MNR,Beijing,China,100048","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034471787","display_name":"Huixuan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huixuan Chen","raw_affiliation_strings":["Capital Normal University,Base of State Key Lab of Urban Environmental Processes and Digital Modeling,Beijing,China,100048"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Capital Normal University,Base of State Key Lab of Urban Environmental Processes and Digital Modeling,Beijing,China,100048","institution_ids":["https://openalex.org/I96852419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47737069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1484","last_page":"1487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9781000018119812,"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":0.9781000018119812,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9386000037193298,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9334999918937683,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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":0.6871838569641113},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.63800048828125},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5679237246513367},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5388327240943909},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5242931246757507},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5179433226585388},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.513904333114624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5090860724449158},{"id":"https://openalex.org/keywords/gf","display_name":"GF(2)","score":0.45229092240333557},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.45179131627082825},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.440212607383728},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4159037470817566},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18874505162239075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1629255712032318},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09657248854637146},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08444222807884216},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07355806231498718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6871838569641113},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.63800048828125},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5679237246513367},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5388327240943909},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5242931246757507},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5179433226585388},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.513904333114624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5090860724449158},{"id":"https://openalex.org/C156350748","wikidata":"https://www.wikidata.org/wiki/Q5513324","display_name":"GF(2)","level":3,"score":0.45229092240333557},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.45179131627082825},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.440212607383728},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4159037470817566},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18874505162239075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1629255712032318},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09657248854637146},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08444222807884216},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07355806231498718},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C77926391","wikidata":"https://www.wikidata.org/wiki/Q603880","display_name":"Finite field","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884608","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G8426188983","display_name":null,"funder_award_id":"2021YFB3900505","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2013513270","https://openalex.org/W2038622951","https://openalex.org/W2105954673","https://openalex.org/W3135196696","https://openalex.org/W3203247629"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"easily":[2],"and":[3,32,90,119,129],"conveniently":[4],"to":[5,83,131],"acquire":[6],"large-range":[7],"of":[8,18,29,48,59,63,71],"rice":[9,13,19,64,78,88,107],"distribution,":[10],"a":[11],"novel":[12],"sensitive":[14,79],"radar":[15,80],"index":[16,81],"model":[17,102,124],"recognition":[20],"using":[21],"GF-3":[22,33,49],"satellite":[23,50],"was":[24,52,93,103,134],"proposed.":[25],"Firstly,":[26],"the":[27,38,44,57,60,66,69,85,97,106,110,116],"characteristics":[28,62],"geographical":[30,144],"environment":[31,145],"data":[34,45,118],"source":[35],"used":[36,104],"in":[37,65,140],"study":[39,67],"area":[40],"were":[41,113,126],"analyzed.":[42],"Secondly,":[43],"preprocessing":[46],"process":[47],"image":[51,72],"described.":[53],"Thirdly,":[54],"based":[55],"on":[56],"analysis":[58],"backscatter":[61],"area,":[68],"idea":[70],"pseudo":[73],"color":[74],"synthesis":[75],"by":[76],"constructing":[77],"band":[82],"enhance":[84],"contrast":[86],"between":[87],"information":[89,92],"background":[91],"put":[94],"forward.":[95],"Fourthly,":[96],"CNN":[98],"deep":[99],"learning":[100],"network":[101],"for":[105,137],"recognition.":[108],"Finally,":[109],"extracted":[111],"results":[112],"verified":[114],"with":[115,142],"measured":[117],"had":[120],"good":[121],"accuracy.":[122],"The":[123],"proposed":[125],"relatively":[127],"simple":[128],"easy":[130],"operate,":[132],"which":[133],"also":[135],"convenient":[136],"large-scale":[138],"application":[139],"areas":[141],"similar":[143],"conditions.":[146]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
