{"id":"https://openalex.org/W3132493672","doi":"https://doi.org/10.1109/igarss39084.2020.9324337","title":"Recurrent Deep Learning for Rice Fields Detection from SAR Images","display_name":"Recurrent Deep Learning for Rice Fields Detection from SAR Images","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3132493672","doi":"https://doi.org/10.1109/igarss39084.2020.9324337","mag":"3132493672"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 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/A5110850552","display_name":"Meng-Che Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I79291875","display_name":"Taiwan Space Agency","ror":"https://ror.org/03dcxwy38","country_code":"TW","type":"government","lineage":["https://openalex.org/I79291875"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Meng-Che Wu","raw_affiliation_strings":["National Space Organization, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Space Organization, Taiwan","institution_ids":["https://openalex.org/I79291875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039216954","display_name":"Mohammad Alkhaleefah","orcid":"https://orcid.org/0000-0001-8933-7483"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Mohammad Alkhaleefah","raw_affiliation_strings":["National Taipei, University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei, University of Technology","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012584806","display_name":"Lena Chang","orcid":"https://orcid.org/0000-0003-2916-1775"},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Lena Chang","raw_affiliation_strings":["National Taiwan Ocean University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan Ocean University","institution_ids":["https://openalex.org/I153512688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023925929","display_name":"Yang-Lang Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yang-Lang Chang","raw_affiliation_strings":["National Taipei, University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei, University of Technology","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083757524","display_name":"Ming-Hwang Shie","orcid":null},"institutions":[{"id":"https://openalex.org/I79291875","display_name":"Taiwan Space Agency","ror":"https://ror.org/03dcxwy38","country_code":"TW","type":"government","lineage":["https://openalex.org/I79291875"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Hwang Shie","raw_affiliation_strings":["National Space Organization, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Space Organization, Taiwan","institution_ids":["https://openalex.org/I79291875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022534308","display_name":"Shian-Jing Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I79291875","display_name":"Taiwan Space Agency","ror":"https://ror.org/03dcxwy38","country_code":"TW","type":"government","lineage":["https://openalex.org/I79291875"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shian-Jing Liu","raw_affiliation_strings":["National Space Organization, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Space Organization, Taiwan","institution_ids":["https://openalex.org/I79291875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101761146","display_name":"Wen\u2010Yen Chang","orcid":"https://orcid.org/0000-0003-2813-3959"},"institutions":[{"id":"https://openalex.org/I33096239","display_name":"National Dong Hwa University","ror":"https://ror.org/00mng9617","country_code":"TW","type":"education","lineage":["https://openalex.org/I33096239"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Yen Chang","raw_affiliation_strings":["National Dong Hwa University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Dong Hwa University","institution_ids":["https://openalex.org/I33096239"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8946,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.96341045,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1548","last_page":"1551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.995199978351593,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.995199978351593,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10616","display_name":"Smart Agriculture and AI","score":0.9596999883651733,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6713295578956604},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6103076338768005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5555861592292786},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.45148947834968567},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44289320707321167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43942970037460327},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2101677656173706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6713295578956604},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6103076338768005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5555861592292786},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.45148947834968567},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44289320707321167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43942970037460327},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2101677656173706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G5339831863","display_name":null,"funder_award_id":"USTP-NTUT-NTOU-107-02,NTUT-USTB-108-02","funder_id":"https://openalex.org/F4320324051","funder_display_name":"National Taipei University of Technology"},{"id":"https://openalex.org/G6236670853","display_name":null,"funder_award_id":"NSPO-S-108216","funder_id":"https://openalex.org/F4320324517","funder_display_name":"National Space Organization"},{"id":"https://openalex.org/G7030862877","display_name":null,"funder_award_id":"MOST 108A27A,108-2116-M-027-003","funder_id":"https://openalex.org/F4320309618","funder_display_name":"Ministry of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"},{"id":"https://openalex.org/F4320324051","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09"},{"id":"https://openalex.org/F4320324517","display_name":"National Space Organization","ror":"https://ror.org/03dcxwy38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W322998299","https://openalex.org/W1485009520","https://openalex.org/W1924770834","https://openalex.org/W2896998982","https://openalex.org/W2899260303","https://openalex.org/W2901719150","https://openalex.org/W2922412082","https://openalex.org/W2944708990"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3009238340"],"abstract_inverted_index":{"Rice":[0],"is":[1,30,54],"one":[2],"of":[3,37,63,72,105],"the":[4,11,15,35,106,160],"most":[5,107],"important":[6],"and":[7,46,122,130],"valuable":[8],"crops":[9],"in":[10,34,58,96,139],"world.":[12],"People":[13],"around":[14],"world":[16],"mainly":[17],"depend":[18],"on":[19],"rice":[20,27,38,134,161],"as":[21],"their":[22],"daily":[23],"diet.":[24],"Therefore,":[25],"efficient":[26],"fields":[28,61,135,162],"monitoring":[29,59],"a":[31,155],"crucial":[32],"factor":[33],"improvement":[36],"crop":[39],"yield":[40],"estimation,":[41],"damage":[42],"evaluation,":[43],"budget":[44],"planning,":[45],"agricultural":[47,60],"resource":[48],"management.":[49],"Synthetic":[50],"aperture":[51],"radar":[52],"(SAR)":[53],"an":[55],"effective":[56],"tool":[57],"because":[62],"its":[64],"ability":[65],"to":[66,132],"provide":[67],"high":[68],"resolution":[69],"images":[70,138],"regardless":[71],"weather":[73],"conditions.":[74],"However,":[75],"precision":[76],"agriculture":[77],"has":[78],"put":[79],"higher":[80],"requirements":[81],"for":[82,112,150,158],"SAR":[83,137,152],"data":[84,153],"analysis.":[85],"In":[86,101],"recent":[87],"years,":[88],"deep":[89,109,147],"learning":[90,110,148],"methods":[91,149],"have":[92,127,154],"achieved":[93],"great":[94,156],"success":[95],"various":[97],"remote":[98],"sensing":[99],"applications.":[100],"this":[102],"research,":[103],"two":[104],"popular":[108],"architectures":[111],"time":[113],"series":[114],"data,":[115],"namely":[116],"convolutional":[117],"long":[118],"short-term":[119],"memory":[120],"(ConvLSTM)":[121],"gated":[123],"recurrent":[124],"unit":[125],"(GRU)":[126],"been":[128],"explored":[129],"applied":[131],"detect":[133],"from":[136],"Taiwan.":[140],"The":[141],"experimental":[142],"results":[143],"showed":[144],"that":[145],"time-series":[146],"analyzing":[151],"potential":[157],"improving":[159],"detection.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
