{"id":"https://openalex.org/W2534397778","doi":"https://doi.org/10.1109/lgrs.2016.2614810","title":"Soft-Then-Hard Subpixel Land Cover Mapping Based on Spatial-Spectral Interpolation","display_name":"Soft-Then-Hard Subpixel Land Cover Mapping Based on Spatial-Spectral Interpolation","publication_year":2016,"publication_date":"2016-10-19","ids":{"openalex":"https://openalex.org/W2534397778","doi":"https://doi.org/10.1109/lgrs.2016.2614810","mag":"2534397778"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2016.2614810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2016.2614810","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5100396024","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-3825-6365"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Wang","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636420","display_name":"Liguo Wang","orcid":"https://orcid.org/0000-0003-3509-1216"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liguo Wang","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]},{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR","IS"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland","Grenoble Images Speech Signals and Automatics Laboratory (GIPSA-lab), Grenoble Institute of Technology, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland","institution_ids":["https://openalex.org/I165368041"]},{"raw_affiliation_string":"Grenoble Images Speech Signals and Automatics Laboratory (GIPSA-lab), Grenoble Institute of Technology, Grenoble, France","institution_ids":["https://openalex.org/I4210124956","https://openalex.org/I106785703"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100396024"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":5.8138,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.96526781,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"13","issue":"12","first_page":"1851","last_page":"1854"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9980000257492065,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9980000257492065,"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/subpixel-rendering","display_name":"Subpixel rendering","score":0.8884626030921936},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.8090064525604248},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.7022325992584229},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6742662191390991},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.5847841501235962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.568841814994812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5196679830551147},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.477340966463089},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.4701381325721741},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45028361678123474},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39681917428970337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3891925811767578},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.362496554851532},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.3057886064052582},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17865031957626343},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1277937889099121}],"concepts":[{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.8884626030921936},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.8090064525604248},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7022325992584229},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6742662191390991},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.5847841501235962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.568841814994812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5196679830551147},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.477340966463089},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.4701381325721741},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45028361678123474},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39681917428970337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3891925811767578},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.362496554851532},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3057886064052582},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17865031957626343},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1277937889099121}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2016.2614810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2016.2614810","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01442583v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01442583","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/abstract/document/7592926","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G1960839582","display_name":null,"funder_award_id":"HEUCFD1410","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3740469978","display_name":null,"funder_award_id":"F201409","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"},{"id":"https://openalex.org/G4460375668","display_name":null,"funder_award_id":"61275010","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"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1979149796","https://openalex.org/W1983720606","https://openalex.org/W1991018729","https://openalex.org/W1992410237","https://openalex.org/W2005106632","https://openalex.org/W2026999441","https://openalex.org/W2061356527","https://openalex.org/W2082925067","https://openalex.org/W2091983493","https://openalex.org/W2096919863","https://openalex.org/W2111560151","https://openalex.org/W2136579598","https://openalex.org/W2137702767","https://openalex.org/W2260576720","https://openalex.org/W2406076604"],"related_works":["https://openalex.org/W1989382313","https://openalex.org/W2365706999","https://openalex.org/W2355145174","https://openalex.org/W2392096499","https://openalex.org/W4293094256","https://openalex.org/W2036543038","https://openalex.org/W1836656571","https://openalex.org/W2071815454","https://openalex.org/W2265893536","https://openalex.org/W3152141443"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"a":[3],"novel":[4],"subpixel":[5,9],"sharpening":[6],"for":[7,18,55],"soft-then-hard":[8],"mapping":[10],"(SPM)":[11],"is":[12,43,85,122],"proposed.":[13],"First,":[14],"the":[15,46,63,68,104,112,117,127,130],"fractional":[16,53,71],"images":[17,54,72,101],"each":[19,56],"class":[20,57,78],"are,":[21],"respectively,":[22],"derived":[23],"by":[24,28,32,36],"spectral":[25,33,37,49,120],"unmixing":[26],"followed":[27,35],"spatial":[29,47,93,118],"interpolation":[30,34,42,50],"and":[31,40,48,87,119],"unmixing.":[38],"Bilinear":[39],"bicubic":[41],"used":[44,74],"as":[45],"methods.":[51],"The":[52,82],"are":[58,73],"then":[59],"integrated":[60,69],"together":[61],"using":[62],"appropriate":[64],"weighting":[65],"parameter.":[66],"Finally,":[67],"finer":[70],"to":[75,80,125],"allocate":[76],"hard":[77],"labels":[79],"subpixels.":[81],"proposed":[83,105],"method":[84,106],"fast":[86],"does":[88],"not":[89],"need":[90],"any":[91],"prior":[92],"structure":[94],"information.":[95],"Experiments":[96],"on":[97],"two":[98],"actual":[99],"hyperspectral":[100],"show":[102],"that":[103],"produces":[107],"higher":[108],"accuracy":[109,128],"results":[110],"than":[111],"existing":[113],"algorithms.":[114],"Moreover,":[115],"both":[116],"information":[121],"fully":[123],"utilized":[124],"improve":[126],"of":[129],"SPM":[131],"results.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2016-10-28T00:00:00"}