{"id":"https://openalex.org/W4410962501","doi":"https://doi.org/10.1080/13658816.2025.2512219","title":"A spatial interpolation method based on denoising diffusion probabilistic model","display_name":"A spatial interpolation method based on denoising diffusion probabilistic model","publication_year":2025,"publication_date":"2025-06-02","ids":{"openalex":"https://openalex.org/W4410962501","doi":"https://doi.org/10.1080/13658816.2025.2512219"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2025.2512219","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2025.2512219","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"International Journal of Geographical Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.6084/m9.figshare.28588850.v2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091581497","display_name":"Yuanhao Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhao Cao","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China)","College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0004-8577-7907","affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China)","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103040109","display_name":"Haiqi Wang","orcid":"https://orcid.org/0000-0002-9684-1722"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiqi Wang","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China)","College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-9684-1722","affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China)","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108251880","display_name":"Shang Wu","orcid":"https://orcid.org/0009-0003-9828-6069"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210114556","display_name":"First Institute of Oceanography","ror":"https://ror.org/01y34t753","country_code":"CN","type":"facility","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210114556","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shang Wu","raw_affiliation_strings":["First Institute of Oceanography, Ministry of Natural Resources","First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"First Institute of Oceanography, Ministry of Natural Resources","institution_ids":["https://openalex.org/I4210114556"]},{"raw_affiliation_string":"First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China","institution_ids":["https://openalex.org/I4210114556","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389541","display_name":"Zhenyu Zhang","orcid":"https://orcid.org/0000-0002-8280-8462"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Zhang","raw_affiliation_strings":["School of Geospatial Engineering and Science, Sun Yat-sen University","School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geospatial Engineering and Science, Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102902102","display_name":"Yan Feng","orcid":"https://orcid.org/0000-0002-4756-6015"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yan","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China)","College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China)","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103040109"],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09341949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"1","first_page":"171","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9718000292778015,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9718000292778015,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9697999954223633,"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/T10644","display_name":"Cryospheric studies and observations","score":0.9593999981880188,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6374897956848145},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5798890590667725},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.5751513838768005},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.5136317610740662},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.48296016454696655},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.46195104718208313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45693081617355347},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.43612080812454224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3603173494338989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3560307025909424},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3538705110549927},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.22814613580703735},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.1928439438343048},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09252798557281494}],"concepts":[{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6374897956848145},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5798890590667725},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.5751513838768005},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.5136317610740662},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.48296016454696655},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.46195104718208313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45693081617355347},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.43612080812454224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3603173494338989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3560307025909424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3538705110549927},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.22814613580703735},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.1928439438343048},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09252798557281494},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/13658816.2025.2512219","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2025.2512219","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"International Journal of Geographical Information Science","raw_type":"journal-article"},{"id":"doi:10.6084/m9.figshare.28588850.v2","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.28588850.v2","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.6084/m9.figshare.28588850.v2","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.28588850.v2","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G2851191054","display_name":null,"funder_award_id":"ZR2021MD068","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1571356903","https://openalex.org/W1901129140","https://openalex.org/W1962391267","https://openalex.org/W1964403399","https://openalex.org/W1973749534","https://openalex.org/W1999907997","https://openalex.org/W2024697317","https://openalex.org/W2059195846","https://openalex.org/W2074984119","https://openalex.org/W2089055951","https://openalex.org/W2092981979","https://openalex.org/W2120612314","https://openalex.org/W2121264346","https://openalex.org/W2136965300","https://openalex.org/W2171642129","https://openalex.org/W2769897290","https://openalex.org/W2896775444","https://openalex.org/W2936185297","https://openalex.org/W2963370351","https://openalex.org/W3016915073","https://openalex.org/W3027312415","https://openalex.org/W3036167779","https://openalex.org/W3122887982","https://openalex.org/W3124269386","https://openalex.org/W3155072588","https://openalex.org/W3164101172","https://openalex.org/W3172949370","https://openalex.org/W3177150392","https://openalex.org/W3187798970","https://openalex.org/W3214059276","https://openalex.org/W4205138939","https://openalex.org/W4249073844","https://openalex.org/W4294754026","https://openalex.org/W4298221226","https://openalex.org/W4309446901","https://openalex.org/W4360884927","https://openalex.org/W4387195417","https://openalex.org/W4388074445","https://openalex.org/W4391575085","https://openalex.org/W4401092812","https://openalex.org/W6600223405","https://openalex.org/W6600351811","https://openalex.org/W6604103938","https://openalex.org/W6779823529","https://openalex.org/W6797906067","https://openalex.org/W6803410815"],"related_works":["https://openalex.org/W2045588195","https://openalex.org/W2362697663","https://openalex.org/W2381198209","https://openalex.org/W3180612984","https://openalex.org/W2989592345","https://openalex.org/W2363866393","https://openalex.org/W2512393538","https://openalex.org/W4382867132","https://openalex.org/W2090516583","https://openalex.org/W2484343560"],"abstract_inverted_index":{"Spatial":[0],"interpolation":[1,59,108,119,131,151],"is":[2],"critical":[3],"in":[4,111,132,150,163],"geographic":[5],"information":[6],"systems":[7],"(GIS)":[8],"and":[9,17,24,37,40,172],"environmental":[10,170],"science,":[11],"particularly":[12,110],"when":[13],"dealing":[14],"with":[15,31,113,121],"high-dimensional":[16,49],"nonlinear":[18,46],"data.":[19,51],"Classical":[20],"methods":[21],"like":[22],"Kriging":[23],"inverse":[25],"distance":[26],"weighting":[27],"(IDW)":[28],"often":[29],"struggle":[30],"the":[32,45,63,80,87,101],"complexities":[33],"of":[34,48,82],"irregular":[35],"terrain":[36],"sparse":[38],"datasets,":[39],"are":[41],"inadequate":[42],"for":[43,94,129,159],"capturing":[44],"characteristics":[47],"spatial":[50,130,165],"In":[52],"this":[53],"paper,":[54],"we":[55,85],"introduce":[56],"a":[57,75,137],"novel":[58],"method":[60,104],"based":[61],"on":[62],"Denoising":[64],"Diffusion":[65],"Probabilistic":[66],"Model":[67,91],"(DDPM),":[68],"which":[69],"incorporates":[70],"ConvNeXt":[71],"V2":[72],"blocks":[73],"within":[74],"UNet":[76],"architecture.":[77],"To":[78],"validate":[79],"performance":[81],"our":[83],"model,":[84],"employ":[86],"Copernicus":[88],"Digital":[89],"Elevation":[90],"(COP-DEM)":[92],"dataset":[93],"simulation":[95],"experiments.":[96],"Experimental":[97],"results":[98,120],"demonstrate":[99],"that":[100],"proposed":[102],"DDPM":[103],"significantly":[105],"outperforms":[106],"classical":[107],"techniques,":[109],"scenarios":[112],"high-density":[114],"control":[115],"points,":[116],"producing":[117],"high-quality":[118],"strong":[122],"transferability.":[123],"This":[124],"approach":[125],"shows":[126],"considerable":[127],"promise":[128],"high-dimensional,":[133],"complex":[134],"terrains,":[135],"offering":[136],"more":[138],"robust":[139],"alternative":[140],"to":[141],"traditional":[142],"methods.":[143],"It":[144],"not":[145],"only":[146],"addresses":[147],"key":[148],"challenges":[149],"accuracy":[152],"but":[153],"also":[154],"opens":[155],"up":[156],"new":[157],"possibilities":[158],"applying":[160],"generative":[161],"models":[162],"other":[164],"data":[166],"processing":[167],"domains,":[168],"including":[169],"monitoring":[171],"geospatial":[173],"modeling.":[174]},"counts_by_year":[],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-10-10T00:00:00"}