{"id":"https://openalex.org/W2546563030","doi":"https://doi.org/10.1109/igarss.2016.7729718","title":"Study of land use/cover classification based on decision rules and multi-features","display_name":"Study of land use/cover classification based on decision rules and multi-features","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2546563030","doi":"https://doi.org/10.1109/igarss.2016.7729718","mag":"2546563030"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045288818","display_name":"Huan Pei","orcid":"https://orcid.org/0000-0002-4184-8556"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Pei","raw_affiliation_strings":["College of Information Science and Engineering, Yanshan University, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Yanshan University, P. R. China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102842105","display_name":"Shifeng Fang","orcid":"https://orcid.org/0000-0003-3150-7675"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shifeng Fang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, P. R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108630480","display_name":"Yong Wei","orcid":"https://orcid.org/0000-0002-3626-9947"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wei","raw_affiliation_strings":["College of Information Science and Engineering, Yanshan University, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Yanshan University, P. R. China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100381817","display_name":"Xiaoyan Wang","orcid":"https://orcid.org/0000-0003-4792-2187"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Wang","raw_affiliation_strings":["College of Information Science and Engineering, Yanshan University, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Yanshan University, P. R. China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.18854909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"2779","last_page":"2782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9986000061035156,"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":0.9986000061035156,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9878000020980835,"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/decision-tree","display_name":"Decision tree","score":0.6703137159347534},{"id":"https://openalex.org/keywords/cohens-kappa","display_name":"Cohen's kappa","score":0.6138737201690674},{"id":"https://openalex.org/keywords/desertification","display_name":"Desertification","score":0.5988878011703491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5623992681503296},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5623973608016968},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5211229920387268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49203941226005554},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4877341687679291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4862336218357086},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4672168493270874},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.43791529536247253},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4344406723976135},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40914613008499146},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3676621913909912},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.33782002329826355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3377577066421509},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1951218545436859},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1923236846923828},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11420053243637085}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6703137159347534},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.6138737201690674},{"id":"https://openalex.org/C33559203","wikidata":"https://www.wikidata.org/wiki/Q183481","display_name":"Desertification","level":2,"score":0.5988878011703491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5623992681503296},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5623973608016968},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5211229920387268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49203941226005554},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4877341687679291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4862336218357086},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4672168493270874},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.43791529536247253},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4344406723976135},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40914613008499146},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3676621913909912},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.33782002329826355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3377577066421509},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1951218545436859},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1923236846923828},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11420053243637085},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324869","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W132660779","https://openalex.org/W2004320151","https://openalex.org/W2039065141","https://openalex.org/W2043665634","https://openalex.org/W2068885053","https://openalex.org/W2078180904","https://openalex.org/W2084710983","https://openalex.org/W2094845450","https://openalex.org/W2125283600","https://openalex.org/W4320339642"],"related_works":["https://openalex.org/W2442738406","https://openalex.org/W2591672004","https://openalex.org/W1982169401","https://openalex.org/W4390240101","https://openalex.org/W2356463514","https://openalex.org/W4319437832","https://openalex.org/W2592385415","https://openalex.org/W2030894524","https://openalex.org/W4243803609","https://openalex.org/W4377014260"],"abstract_inverted_index":{"An":[0],"approach":[1],"based":[2],"on":[3,74],"decision":[4,82,103],"rules":[5],"algorithm":[6],"and":[7,33,44,56,78,108,120,129],"multi-features":[8],"was":[9,66,85],"proposed":[10],"for":[11,140],"desertification":[12,94],"monitoring":[13,144],"in":[14,145],"Turpan":[15],"Oasis":[16],"using":[17],"SPOT":[18],"images.":[19],"At":[20],"first,":[21],"the":[22,70,89,100,109,130],"common":[23],"methods":[24],"such":[25],"as":[26,47,49],"principal":[27],"component":[28],"transformation,":[29],"tasseled":[30],"cap":[31],"transformation":[32,37],"minimum":[34,131],"noise":[35],"fraction":[36],"were":[38,52,58],"used":[39],"to":[40,68,87],"extract":[41,88],"spectral":[42],"feature,":[43,80],"vegetation":[45],"index":[46,51],"well":[48],"wetness":[50],"also":[53],"calculated.":[54],"Elevation":[55],"slope":[57],"generated":[59],"from":[60],"DEM.":[61],"Then":[62],"inter-class":[63],"separability":[64],"method":[65,128],"applied":[67],"choose":[69],"optimum":[71],"features.":[72],"Based":[73],"supervised":[75],"classification":[76,105],"results":[77,97],"each":[79],"a":[81],"tree":[83,104],"model":[84],"built":[86],"land":[90,141],"use/cover":[91,142],"information":[92],"especially":[93],"distribution.":[95],"The":[96,134],"showed":[98],"that":[99],"accuracy":[101],"of":[102,147],"is":[106,112],"88%":[107],"kappa":[110],"coefficient":[111],"0.76,":[113],"which":[114],"had":[115],"increased":[116],"by":[117],"7%,":[118],"10%":[119],"11%":[121],"than":[122],"maximum":[123],"likelihood":[124],"method,":[125],"markov":[126],"distance":[127,132],"method.":[133],"whole":[135],"process":[136],"may":[137],"provide":[138],"reference":[139],"real-time":[143],"oasis":[146],"arid":[148],"areas.":[149]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}