{"id":"https://openalex.org/W1987216185","doi":"https://doi.org/10.1109/tgrs.2013.2281992","title":"Superresolution Land Cover Mapping Using Spatial Regularization","display_name":"Superresolution Land Cover Mapping Using Spatial Regularization","publication_year":2013,"publication_date":"2013-10-02","ids":{"openalex":"https://openalex.org/W1987216185","doi":"https://doi.org/10.1109/tgrs.2013.2281992","mag":"1987216185"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2013.2281992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2013.2281992","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5012444471","display_name":"Feng Ling","orcid":"https://orcid.org/0000-0002-0685-4897"},"institutions":[{"id":"https://openalex.org/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Ling","raw_affiliation_strings":["Key laboratory of Monitoring and Estimate for Environment and Disaster of Hubei province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China","Key Lab. of Monitoring & Estimate for Environ. & Disaster of Hubei Province, Inst. of Geodesy & Geophys., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key laboratory of Monitoring and Estimate for Environment and Disaster of Hubei province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I4210105990"]},{"raw_affiliation_string":"Key Lab. of Monitoring & Estimate for Environ. & Disaster of Hubei Province, Inst. of Geodesy & Geophys., Wuhan, China","institution_ids":["https://openalex.org/I4210105990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369688","display_name":"Xiaodong Li","orcid":"https://orcid.org/0000-0001-8285-8446"},"institutions":[{"id":"https://openalex.org/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Li","raw_affiliation_strings":["Key laboratory of Monitoring and Estimate for Environment and Disaster of Hubei province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China","Key Lab. of Monitoring & Estimate for Environ. & Disaster of Hubei Province, Inst. of Geodesy & Geophys., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key laboratory of Monitoring and Estimate for Environment and Disaster of Hubei province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I4210105990"]},{"raw_affiliation_string":"Key Lab. of Monitoring & Estimate for Environ. & Disaster of Hubei Province, Inst. of Geodesy & Geophys., Wuhan, China","institution_ids":["https://openalex.org/I4210105990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100783973","display_name":"Fei Xiao","orcid":"https://orcid.org/0000-0003-3936-1631"},"institutions":[{"id":"https://openalex.org/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Xiao","raw_affiliation_strings":["Key laboratory of Monitoring and Estimate for Environment and Disaster of Hubei province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China","Key Lab. of Monitoring & Estimate for Environ. & Disaster of Hubei Province, Inst. of Geodesy & Geophys., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key laboratory of Monitoring and Estimate for Environment and Disaster of Hubei province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I4210105990"]},{"raw_affiliation_string":"Key Lab. of Monitoring & Estimate for Environ. & Disaster of Hubei Province, Inst. of Geodesy & Geophys., Wuhan, China","institution_ids":["https://openalex.org/I4210105990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112724341","display_name":"Yun Du","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Du","raw_affiliation_strings":["Key laboratory of Monitoring and Estimate for Environment and Disaster of Hubei province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China","Key Lab. of Monitoring & Estimate for Environ. & Disaster of Hubei Province, Inst. of Geodesy & Geophys., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key laboratory of Monitoring and Estimate for Environment and Disaster of Hubei province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I4210105990"]},{"raw_affiliation_string":"Key Lab. of Monitoring & Estimate for Environ. & Disaster of Hubei Province, Inst. of Geodesy & Geophys., Wuhan, China","institution_ids":["https://openalex.org/I4210105990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012444471"],"corresponding_institution_ids":["https://openalex.org/I4210105990"],"apc_list":null,"apc_paid":null,"fwci":10.118,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.98116214,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"52","issue":"7","first_page":"4424","last_page":"4439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987999796867371,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9984999895095825,"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":0.9916999936103821,"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/endmember","display_name":"Endmember","score":0.7666161060333252},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.660079300403595},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6380106210708618},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5984061360359192},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5631581544876099},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5470768213272095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5303740501403809},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.49768856167793274},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.451884388923645},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.43099331855773926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42392608523368835},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3700922131538391},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26511597633361816},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13030573725700378},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1284322440624237},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12016478180885315},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.099641352891922},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.09162941575050354}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.7666161060333252},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.660079300403595},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6380106210708618},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5984061360359192},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5631581544876099},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5470768213272095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5303740501403809},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.49768856167793274},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.451884388923645},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.43099331855773926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42392608523368835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3700922131538391},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26511597633361816},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13030573725700378},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1284322440624237},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12016478180885315},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.099641352891922},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.09162941575050354},{"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/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2013.2281992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2013.2281992","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G4978196755","display_name":null,"funder_award_id":"41301398","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W402415036","https://openalex.org/W1968735445","https://openalex.org/W1968975495","https://openalex.org/W1970687769","https://openalex.org/W1972293418","https://openalex.org/W1976843198","https://openalex.org/W1979149796","https://openalex.org/W1980461259","https://openalex.org/W1983720606","https://openalex.org/W1987779238","https://openalex.org/W1990368143","https://openalex.org/W1991018729","https://openalex.org/W1998762105","https://openalex.org/W2001078367","https://openalex.org/W2004818310","https://openalex.org/W2014739240","https://openalex.org/W2019899368","https://openalex.org/W2021605197","https://openalex.org/W2025140748","https://openalex.org/W2026461463","https://openalex.org/W2026999441","https://openalex.org/W2029251415","https://openalex.org/W2032046865","https://openalex.org/W2034104507","https://openalex.org/W2037133124","https://openalex.org/W2044451987","https://openalex.org/W2044558111","https://openalex.org/W2048147566","https://openalex.org/W2053596378","https://openalex.org/W2061980025","https://openalex.org/W2065646058","https://openalex.org/W2073626642","https://openalex.org/W2077756867","https://openalex.org/W2081155276","https://openalex.org/W2085876454","https://openalex.org/W2094800866","https://openalex.org/W2096919863","https://openalex.org/W2104371093","https://openalex.org/W2109047032","https://openalex.org/W2111560151","https://openalex.org/W2114038859","https://openalex.org/W2114828048","https://openalex.org/W2115963694","https://openalex.org/W2119019477","https://openalex.org/W2123907688","https://openalex.org/W2131659181","https://openalex.org/W2142380919","https://openalex.org/W2147573997","https://openalex.org/W2150673874","https://openalex.org/W2151747974","https://openalex.org/W2154019910","https://openalex.org/W2154257129","https://openalex.org/W2156248183","https://openalex.org/W2157278886","https://openalex.org/W2158232087","https://openalex.org/W2158598977","https://openalex.org/W2165939075","https://openalex.org/W2167903638","https://openalex.org/W2295820431","https://openalex.org/W2913356454","https://openalex.org/W4233760599","https://openalex.org/W6613893036"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W3106536224","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W2890371384","https://openalex.org/W2315521504","https://openalex.org/W2563324120","https://openalex.org/W2040756827","https://openalex.org/W2051769241"],"abstract_inverted_index":{"Superresolution":[0],"mapping":[1],"(SRM)":[2],"is":[3,30,191],"a":[4,25,63],"method":[5],"of":[6,11,35,157],"predicting":[7],"the":[8,33,39,67,82,87,93,155,166,188,195,212,216],"spatial":[9,36,58,79,83],"locations":[10],"land":[12,48,68,169],"cover":[13,49,69,170],"classes":[14],"within":[15],"mixed":[16],"pixels":[17],"in":[18,165,179,199],"remotely":[19],"sensed":[20],"images.":[21,151,186],"This":[22],"paper":[23],"proposes":[24],"novel":[26],"SRM":[27,42,72,132,201,210],"framework":[28],"that":[29,51,154,173],"operated":[31],"from":[32],"perspective":[34],"regularization.":[37],"Within":[38],"proposed":[40,98,213],"framework,":[41],"aims":[43],"to":[44,53,148],"generate":[45],"final":[46,167],"superresolution":[47,168],"maps":[50,171],"conform":[52],"inputted":[54,158],"fraction":[55,150,159,176,185,228],"images,":[56],"with":[57,117,204],"regularization":[59,84,197],"intended":[60],"for":[61,193],"exploiting":[62],"priori":[64],"knowledge":[65],"about":[66],"maps.":[70],"Two":[71],"models":[73,99],"are":[74,100,230],"constructed":[75],"by":[76,102],"using":[77,103,174,183],"maximal":[78],"dependence":[80],"as":[81,92,121,123,232],"term":[85],"and":[86,108,115,128,141,172,208,220],"L1":[88],"or":[89],"L2":[90],"norm":[91],"data":[94],"fidelity":[95],"term.":[96],"The":[97],"evaluated":[101],"synthetic":[104],"Landsat,":[105],"real":[106,109],"IKONOS,":[107],"Airborne":[110],"Visible/Infrared":[111],"Imaging":[112],"Spectrometer":[113],"images":[114,160,177,229],"compared":[116],"hard":[118,205],"classification":[119,206],"technologies,":[120],"well":[122],"pixel-swapping,":[124],"Hopfield":[125],"neural":[126],"network,":[127],"Markov":[129],"random":[130],"field":[131],"models.":[133,202],"We":[134],"perform":[135],"linear":[136],"spectral":[137,144],"mixture":[138,145],"analysis":[139,146],"(LSMA)":[140],"multiple":[142],"endmember":[143],"(MESMA)":[147],"estimate":[149],"Results":[152],"show":[153],"accuracy":[156,181],"plays":[161],"an":[162],"important":[163],"role":[164],"MESMA":[175,227],"results":[178],"higher":[180],"than":[182],"LSMA":[184],"Moreover,":[187],"L-curve":[189],"criterion":[190],"suitable":[192],"choosing":[194],"optimal":[196],"parameter":[198],"both":[200],"Compared":[203],"technologies":[207],"other":[209],"models,":[211],"model":[214],"derives":[215],"highest":[217],"Kappa":[218],"coefficients":[219],"lowest":[221],"class":[222],"area":[223],"proportion":[224],"errors":[225],"when":[226],"used":[231],"input.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}