{"id":"https://openalex.org/W2987088907","doi":"https://doi.org/10.1109/igarss.2019.8898811","title":"Land Price Assesment Based on Deep Neural Network","display_name":"Land Price Assesment Based on Deep Neural Network","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2987088907","doi":"https://doi.org/10.1109/igarss.2019.8898811","mag":"2987088907"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8898811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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/A5001377475","display_name":"Ankai Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ankai Hou","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, PRC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, PRC","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075826136","display_name":"Guoqing Zhou","orcid":"https://orcid.org/0000-0001-8295-0496"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Zhou","raw_affiliation_strings":["Guangxi Key Laboratory for Spatial Information and Geomatics, Guilin University of Technology, Guilin, PRC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory for Spatial Information and Geomatics, Guilin University of Technology, Guilin, PRC","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657593","display_name":"Hongsheng Zhang","orcid":"https://orcid.org/0000-0002-6135-9442"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hongsheng Zhang","raw_affiliation_strings":["Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392380","display_name":"Jiang Li","orcid":"https://orcid.org/0000-0003-0091-6986"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiang Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA","institution_ids":["https://openalex.org/I81365321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100717397","display_name":"Jiaxi Liu","orcid":"https://orcid.org/0000-0003-2069-5519"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxi Liu","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102412936","display_name":"Yuxuan Tao","orcid":"https://orcid.org/0000-0001-5307-7202"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Tao","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, PRC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, PRC","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082547412","display_name":"Shaobin Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobin Jiang","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, PRC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, PRC","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399847","display_name":"Kai Li","orcid":"https://orcid.org/0000-0002-0434-4762"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Li","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, PRC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, PRC","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083627327","display_name":"Zezhong Zheng","orcid":"https://orcid.org/0000-0002-5615-5015"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zezhong Zheng","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, PRC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, PRC","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772794","display_name":"Jun Xia","orcid":"https://orcid.org/0000-0002-1123-2662"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xia","raw_affiliation_strings":["State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, PRC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, PRC","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342968","display_name":"Yong He","orcid":"https://orcid.org/0000-0001-6752-1757"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong He","raw_affiliation_strings":["Sichuan Research Institute for Eco-system Restoration & Geo-disaster Prevention, Chengdu, PRC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Research Institute for Eco-system Restoration & Geo-disaster Prevention, Chengdu, PRC","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048589278","display_name":"Mingcang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135981","display_name":"Louisiana Department of Natural Resources","ror":"https://ror.org/03n7hja66","country_code":"US","type":"government","lineage":["https://openalex.org/I4210135981"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingcang Zhu","raw_affiliation_strings":["Department of Natural Resources of Sichuan Province, Chengdu, PRC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Natural Resources of Sichuan Province, Chengdu, PRC","institution_ids":["https://openalex.org/I4210135981"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"3053","last_page":"3056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9132999777793884,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9132999777793884,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12368","display_name":"Grey System Theory Applications","score":0.9079999923706055,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6810138821601868},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5911461710929871},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5805726647377014},{"id":"https://openalex.org/keywords/land-price","display_name":"Land price","score":0.5609108805656433},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5312801599502563},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.43921807408332825},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4270704686641693},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.42198628187179565},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4200414717197418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40393900871276855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3004308044910431},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.25387728214263916},{"id":"https://openalex.org/keywords/agricultural-economics","display_name":"Agricultural economics","score":0.14222505688667297},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09817516803741455},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.07304874062538147}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6810138821601868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5911461710929871},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5805726647377014},{"id":"https://openalex.org/C2993127880","wikidata":"https://www.wikidata.org/wiki/Q512599","display_name":"Land price","level":2,"score":0.5609108805656433},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5312801599502563},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.43921807408332825},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4270704686641693},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.42198628187179565},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4200414717197418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40393900871276855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3004308044910431},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.25387728214263916},{"id":"https://openalex.org/C48824518","wikidata":"https://www.wikidata.org/wiki/Q396340","display_name":"Agricultural economics","level":1,"score":0.14222505688667297},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09817516803741455},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.07304874062538147},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8898811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1597701603","https://openalex.org/W1904365287","https://openalex.org/W2274824582","https://openalex.org/W2803574022","https://openalex.org/W3121996782","https://openalex.org/W3123281046","https://openalex.org/W6640036494"],"related_works":["https://openalex.org/W1968523686","https://openalex.org/W298893735","https://openalex.org/W2199291344","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"The":[0],"land":[1,15,26,40,56,79,94,105,176],"resource":[2],"is":[3,18,169],"becoming":[4],"scarcer":[5,7],"and":[6,55,108,115,123,139,150],"for":[8,20],"a":[9,49,70],"rapidly":[10],"developing":[11],"city.":[12],"Thus,":[13],"the":[14,21,25,29,33,39,43,78,91,97,104,119,124,131,146,151,156,162,175],"price":[16,57,80,106,177],"assessment":[17],"important":[19],"government":[22],"to":[23,37,129,173],"auction":[24],"appropriately.":[27],"In":[28],"paper,":[30],"we":[31],"introduced":[32],"deep":[34,132,152,179],"neural":[35,133,153,180],"network":[36,134,154],"evaluate":[38,174],"price,":[41],"taking":[42],"Shenzhen":[44,62],"city":[45,63],"in":[46],"China":[47],"as":[48,161],"case.":[50],"Firstly,":[51],"twenty":[52,98],"influencing":[53,99,109],"factors":[54,100,110],"data":[58,107,126],"were":[59,111,127,148],"gathered.":[60],"Then,":[61],"was":[64,84,101,159],"segmented":[65],"into":[66,113],"many":[67],"grids":[68],"with":[69,86,118,141,155,178],"size":[71],"of":[72,81,93,121],"300":[73,75],"\u00d7":[74],"m.":[76],"Secondly,":[77],"each":[82],"grid":[83],"derived":[85],"Kriging":[87],"approach":[88,172],"based":[89,135],"upon":[90],"samples":[92],"price.":[95],"And":[96],"quantified.":[102],"Thirdly,":[103],"partitioned":[112],"training":[114,125],"testing":[116],"datasets":[117],"ratio":[120],"8:1,":[122],"utilized":[128],"train":[130],"on":[136],"regression":[137],"analysis":[138],"classification":[140],"different":[142],"hidden":[143],"layers.":[144],"Finally,":[145],"results":[147],"analyzed,":[149],"highest":[157],"accuracy":[158],"selected":[160],"optimum":[163],"model.":[164],"Therefore,":[165],"our":[166],"proposed":[167],"method":[168],"an":[170],"efficient":[171],"network.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
