{"id":"https://openalex.org/W1994434994","doi":"https://doi.org/10.1007/s11806-010-0387-6","title":"HASM-AD algorithm based on the sequential least squares","display_name":"HASM-AD algorithm based on the sequential least squares","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1994434994","doi":"https://doi.org/10.1007/s11806-010-0387-6","mag":"1994434994"},"language":"en","primary_location":{"id":"doi:10.1007/s11806-010-0387-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11806-010-0387-6","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1007/s11806-010-0387-6?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1007/s11806-010-0387-6?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054827179","display_name":"Shihai Wang","orcid":"https://orcid.org/0000-0002-0241-0009"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]},{"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","TW"],"is_corresponding":true,"raw_author_name":"Shihai Wang","raw_affiliation_strings":["Institute of Geographic Science and Natural Resource Research , Chinese Academy of Science , Beijing , China","Chinese Academy of Science"],"affiliations":[{"raw_affiliation_string":"Institute of Geographic Science and Natural Resource Research , Chinese Academy of Science , Beijing , China","institution_ids":["https://openalex.org/I4210160793"]},{"raw_affiliation_string":"Chinese Academy of Science","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041058725","display_name":"Tianxiang Yue","orcid":"https://orcid.org/0000-0002-1517-1094"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]},{"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","TW"],"is_corresponding":false,"raw_author_name":"Tianxiang Yue","raw_affiliation_strings":["Institute of Geographic Science and Natural Resource Research , Chinese Academy of Science , Beijing , China","Chinese Academy of Science"],"affiliations":[{"raw_affiliation_string":"Institute of Geographic Science and Natural Resource Research , Chinese Academy of Science , Beijing , China","institution_ids":["https://openalex.org/I4210160793"]},{"raw_affiliation_string":"Chinese Academy of Science","institution_ids":["https://openalex.org/I84653119"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054827179"],"corresponding_institution_ids":["https://openalex.org/I84653119","https://openalex.org/I4210160793"],"apc_list":{"value":1625,"currency":"GBP","value_usd":1993},"apc_paid":{"value":1625,"currency":"GBP","value_usd":1993},"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10520637,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":"4","first_page":"285","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9951000213623047,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9951000213623047,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/computation","display_name":"Computation","score":0.8066782355308533},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.7268859148025513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6023441553115845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5985067486763},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.5445312857627869},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5134392976760864},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5132453441619873},{"id":"https://openalex.org/keywords/division","display_name":"Division (mathematics)","score":0.5106437802314758},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.43998560309410095},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.43010786175727844},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42865797877311707},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.42445090413093567},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2863598167896271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2632674276828766},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17792633175849915},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12735074758529663},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08372694253921509},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0730629563331604},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.07177430391311646}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.8066782355308533},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7268859148025513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6023441553115845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5985067486763},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.5445312857627869},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5134392976760864},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5132453441619873},{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.5106437802314758},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.43998560309410095},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.43010786175727844},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42865797877311707},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.42445090413093567},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2863598167896271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2632674276828766},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17792633175849915},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12735074758529663},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08372694253921509},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0730629563331604},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.07177430391311646},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11806-010-0387-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11806-010-0387-6","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1007/s11806-010-0387-6?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11806-010-0387-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11806-010-0387-6","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1007/s11806-010-0387-6?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1994434994.pdf","grobid_xml":"https://content.openalex.org/works/W1994434994.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1988696756","https://openalex.org/W2022113163","https://openalex.org/W2052461176","https://openalex.org/W2069016826","https://openalex.org/W2092981979","https://openalex.org/W2119125755","https://openalex.org/W2155300412","https://openalex.org/W3144749065","https://openalex.org/W4231117758","https://openalex.org/W4298862023"],"related_works":["https://openalex.org/W2045588195","https://openalex.org/W2362697663","https://openalex.org/W2381198209","https://openalex.org/W2989592345","https://openalex.org/W3180612984","https://openalex.org/W2363866393","https://openalex.org/W2512393538","https://openalex.org/W4382867132","https://openalex.org/W4283070427","https://openalex.org/W766643320"],"abstract_inverted_index":{"The":[0,112],"HASM":[1],"(high":[2],"accuracy":[3,23],"surface":[4,25],"modeling)":[5],"technique":[6,54,118,160],"is":[7,68,85,152],"based":[8],"on":[9,76],"the":[10,21,28,53,62,72,77,88,105,116,120,128,132,136,144,155,158,163],"fundamental":[11],"theory":[12],"of":[13,79,139],"surfaces,":[14],"which":[15],"has":[16],"been":[17],"proved":[18],"to":[19,51,71,99],"improve":[20],"interpolation":[22,123,138],"in":[24,32,36,40,87,102,110,125,147,154,170],"fitting.":[26],"However,":[27],"integral":[29],"iterative":[30],"solution":[31],"previous":[33],"studies":[34],"resulted":[35],"high":[37],"temporal":[38,106],"complexity":[39,107,165],"computation":[41],"and":[42,166],"huge":[43],"memory":[44,168],"usage":[45,169],"so":[46,90],"that":[47,91,115,157],"it":[48,151],"became":[49],"difficult":[50],"put":[52],"into":[55,97],"application,":[56],"especially":[57],"for":[58,135],"large-scale":[59],"datasets.":[60],"In":[61],"study,":[63],"an":[64],"innovative":[65],"model":[66],"(HASM-AD)":[67],"developed":[69],"according":[70],"sequential":[73],"least":[74],"squares":[75],"basis":[78],"data":[80,145],"adjustment":[81],"theory.":[82],"Sequential":[83],"division":[84],"adopted":[86],"technique,":[89],"linear":[92],"equations":[93],"can":[94],"be":[95,100],"divided":[96],"groups":[98],"processed":[101],"sequence":[103],"with":[104,143],"reduced":[108],"greatly":[109],"computation.":[111,171],"experiment":[113],"indicates":[114],"HASM-AD":[117,159],"surpasses":[119],"traditional":[121],"spatial":[122,137],"methods":[124],"accuracy.":[126],"Also,":[127],"cross-validation":[129],"result":[130],"proves":[131],"same":[133],"conclusion":[134],"soil":[140],"PH":[141],"property":[142],"sampled":[146],"Jiangxi":[148],"province.":[149],"Moreover,":[150],"demonstrated":[153],"study":[156],"significantly":[161],"reduces":[162],"computational":[164],"lessens":[167]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
