{"id":"https://openalex.org/W2897608740","doi":"https://doi.org/10.1109/agro-geoinformatics.2018.8475988","title":"Extraction of Rice Cropping Area from High Resolution Remote Sensing Image Based on Sample Knowledge Mining","display_name":"Extraction of Rice Cropping Area from High Resolution Remote Sensing Image Based on Sample Knowledge Mining","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2897608740","doi":"https://doi.org/10.1109/agro-geoinformatics.2018.8475988","mag":"2897608740"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics.2018.8475988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2018.8475988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics)","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/A5011501774","display_name":"Cheng Su","orcid":"https://orcid.org/0000-0002-3540-0309"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Su","raw_affiliation_strings":["Department of Earth Science, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Earth Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cun-Jun Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cun-Jun Feng","raw_affiliation_strings":["Zhejiang Administration of Surveying Mapping and Geoinformation, Geographic Information Center, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Administration of Surveying Mapping and Geoinformation, Geographic Information Center, Hangzhou, China","institution_ids":["https://openalex.org/I4210141849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045446348","display_name":"Zhicai Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicai Huang","raw_affiliation_strings":["Department of Earth Science, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Earth Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055738403","display_name":"Xiaocan Zhang","orcid":"https://orcid.org/0000-0002-1513-4103"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaocan Zhang","raw_affiliation_strings":["Technique, Department of Earth Science, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Technique, Department of Earth Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011501774"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09377465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.996399998664856,"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":0.996399998664856,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9681000113487244,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9524999856948853,"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/cropping","display_name":"Cropping","score":0.8908405303955078},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5799095034599304},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5423666834831238},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.5282950401306152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49686887860298157},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4183817505836487},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41553497314453125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3625364899635315},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.3285117745399475},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3280155062675476},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1406579315662384},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.12877196073532104},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09284543991088867},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07928553223609924}],"concepts":[{"id":"https://openalex.org/C13558536","wikidata":"https://www.wikidata.org/wiki/Q785116","display_name":"Cropping","level":3,"score":0.8908405303955078},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5799095034599304},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5423666834831238},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.5282950401306152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49686887860298157},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4183817505836487},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41553497314453125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3625364899635315},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3285117745399475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3280155062675476},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1406579315662384},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.12877196073532104},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09284543991088867},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07928553223609924},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/agro-geoinformatics.2018.8475988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2018.8475988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1973749534","https://openalex.org/W1990244654","https://openalex.org/W1990809012","https://openalex.org/W1999277905","https://openalex.org/W2000179198","https://openalex.org/W2000390208","https://openalex.org/W2010879595","https://openalex.org/W2031297760","https://openalex.org/W2050076538","https://openalex.org/W2143668817","https://openalex.org/W2357761899","https://openalex.org/W2364041567","https://openalex.org/W2381089112","https://openalex.org/W2387347537","https://openalex.org/W2468363661","https://openalex.org/W2539033431","https://openalex.org/W2772879865","https://openalex.org/W2884867270","https://openalex.org/W7057002889"],"related_works":["https://openalex.org/W4255911972","https://openalex.org/W2153777489","https://openalex.org/W4250802033","https://openalex.org/W2147805385","https://openalex.org/W4402777390","https://openalex.org/W3123455296","https://openalex.org/W3190509488","https://openalex.org/W2578026979","https://openalex.org/W1522196789","https://openalex.org/W2078073419"],"abstract_inverted_index":{"A":[0],"new":[1],"method":[2,53,169],"of":[3,39,56,60,69,78,91,120,151,161],"extracting":[4,162],"rice":[5,27,61,79,98,113,130,137,152,163],"cropping":[6,28,62,80,131,138,153,164],"area":[7,29,63,139,154,165],"from":[8,156],"high":[9],"resolution":[10],"remote":[11,32],"sensing":[12,33],"image":[13,84],"based":[14,64],"on":[15,47,65],"sample":[16,114],"knowledge":[17],"mining":[18],"was":[19],"proposed":[20],"to":[21,73,86,145],"aim":[22],"at":[23],"the":[24,48,57,88,97,106,112,117,121,128,135,146,157,168],"fact":[25],"that":[26,167],"in":[30,111,170],"high-resolution":[31],"images":[34],"is":[35,173],"actually":[36],"mixed":[37,93],"information":[38],"rice,":[40],"soil,":[41],"water,":[42],"weeds":[43],"and":[44,71,116,175],"duckweed.":[45],"Based":[46],"spatial":[49],"autocorrelation":[50],"theory,":[51],"this":[52,171],"makes":[54],"use":[55],"combined":[58],"features":[59],"various":[66,92],"basic":[67,89,99,107,118,147],"units":[68,119],"spectrum":[70],"texture,":[72],"build":[74],"an":[75],"extraction":[76],"strategy":[77],"area:":[81],"firstly,":[82],"achieve":[83],"segmentation":[85],"obtain":[87],"unit":[90,100,108,148],"ground":[94],"information.":[95],"Then":[96],"types":[101,109,123],"are":[102,124],"determined":[103],"by":[104],"analyzing":[105],"contained":[110],"polygon,":[115],"corresponding":[122],"all":[125],"classified":[126],"into":[127],"initial":[129,136],"area.":[132],"Finally,":[133],"eliminate":[134],"polygons":[140],"which":[141],"do":[142],"not":[143],"conform":[144],"combination":[149],"rule":[150],"learnt":[155],"samples.":[158],"The":[159],"result":[160],"shows":[166],"paper":[172],"precise":[174],"practical.":[176]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
