{"id":"https://openalex.org/W1980057012","doi":"https://doi.org/10.1109/fskd.2014.6980854","title":"Land-use classification of Zhanghe river basin using the maximum likelihood and decision tree method","display_name":"Land-use classification of Zhanghe river basin using the maximum likelihood and decision tree method","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W1980057012","doi":"https://doi.org/10.1109/fskd.2014.6980854","mag":"1980057012"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2014.6980854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2014.6980854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5061497592","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-3535-2693"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Department of Civil Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100959688","display_name":"Hongrui Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongrui Zhao","raw_affiliation_strings":["Department of Civil Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100695040","display_name":"Wanqing Li","orcid":"https://orcid.org/0000-0002-4427-2687"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanqing Li","raw_affiliation_strings":["Hebei Engineering University, Handan, Hebei Province, China"],"affiliations":[{"raw_affiliation_string":"Hebei Engineering University, Handan, Hebei Province, China","institution_ids":["https://openalex.org/I106079672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061497592"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.04251998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"45","issue":null,"first_page":"322","last_page":"327"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9994000196456909,"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":0.9994000196456909,"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/T13203","display_name":"Environmental Changes in China","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9735000133514404,"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/cohens-kappa","display_name":"Cohen's kappa","score":0.7007548213005066},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6817845106124878},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.6053418517112732},{"id":"https://openalex.org/keywords/arable-land","display_name":"Arable land","score":0.5265422463417053},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.5029458403587341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4665999412536621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39185720682144165},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38303351402282715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3779163658618927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3402676582336426},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33108848333358765},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3108927607536316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2692421078681946},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.07173380255699158}],"concepts":[{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.7007548213005066},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6817845106124878},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.6053418517112732},{"id":"https://openalex.org/C71762439","wikidata":"https://www.wikidata.org/wiki/Q843920","display_name":"Arable land","level":3,"score":0.5265422463417053},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.5029458403587341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4665999412536621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39185720682144165},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38303351402282715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3779163658618927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3402676582336426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33108848333358765},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3108927607536316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2692421078681946},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.07173380255699158},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2014.6980854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2014.6980854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.49000000953674316,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1531640903","https://openalex.org/W1689322371","https://openalex.org/W1968573139","https://openalex.org/W2001510610","https://openalex.org/W2004741803","https://openalex.org/W2060994484","https://openalex.org/W2083969571","https://openalex.org/W2111656658","https://openalex.org/W2137698428","https://openalex.org/W2168809519","https://openalex.org/W2319224732","https://openalex.org/W2383872515","https://openalex.org/W2390478489","https://openalex.org/W4233156983","https://openalex.org/W6637397719"],"related_works":["https://openalex.org/W4366202965","https://openalex.org/W1969293528","https://openalex.org/W2349679704","https://openalex.org/W4389633859","https://openalex.org/W2887485144","https://openalex.org/W2570625548","https://openalex.org/W4390240101","https://openalex.org/W2910487949","https://openalex.org/W4313362020","https://openalex.org/W4361732610"],"abstract_inverted_index":{"For":[0],"Zhanghe":[1],"areas,":[2],"we":[3],"utilized":[4],"the":[5,13,20,25,32,71,82,102,116,122],"Landsat5":[6],"TM":[7],"images":[8],"of":[9,27,74,81,90,92,105],"2010":[10],"to":[11],"complete":[12],"region's":[14],"land":[15,28,76],"use":[16,29],"classification":[17,30,36,58,117],"based":[18,67,85],"on":[19,68,86],"maximum":[21],"likelihood":[22],"method.":[23],"Analyzing":[24],"constraints":[26],"in":[31,108],"research":[33],"area,":[34],"our":[35],"method":[37],"includes":[38],"4":[39],"aspects:":[40],"cloud":[41],"and":[42,48,59,63,121],"hillshade":[43],"were":[44,65,95],"classified":[45,55],"at":[46],"first":[47],"then":[49],"reprocessed":[50],"separately;":[51],"water":[52],"body":[53],"was":[54,77],"combining":[56],"supervised":[57],"interactive":[60],"interpretation;":[61],"cities":[62],"villages":[64],"distinguished":[66],"prior":[69],"knowledge;":[70],"slope":[72,80],"hierarchy":[73],"arable":[75],"accomplished":[78],"by":[79],"study":[83],"area":[84],"decision":[87],"tree.":[88],"67%":[89],"regions":[91],"interest":[93],"(ROIs)":[94],"randomly":[96],"selected":[97],"for":[98],"sample":[99],"training,":[100],"while":[101],"rest":[103],"33%":[104],"ROIs":[106],"participated":[107],"confusion":[109],"matrix":[110],"validation.":[111],"The":[112],"experiment":[113],"shows":[114],"that":[115],"accuracy":[118],"is":[119,125],"91.50%":[120],"Kappa":[123],"coefficient":[124],"0.8587.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}