{"id":"https://openalex.org/W2068169930","doi":"https://doi.org/10.1109/lgrs.2011.2160710","title":"A Technique for Simulating Pseudo Natural Color Images Based on Spectral Similarity Scales","display_name":"A Technique for Simulating Pseudo Natural Color Images Based on Spectral Similarity Scales","publication_year":2011,"publication_date":"2011-08-03","ids":{"openalex":"https://openalex.org/W2068169930","doi":"https://doi.org/10.1109/lgrs.2011.2160710","mag":"2068169930"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2011.2160710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2011.2160710","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/A5041675873","display_name":"XU Hui-xi","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Huixi","raw_affiliation_strings":["State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resource Science and Technology, Beijing Normal University, Beijing, China","State Key Lab. of Earth Surface Processes and Resource Ecology; Beijing Normal Univ.; Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resource Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Lab. of Earth Surface Processes and Resource Ecology; Beijing Normal Univ.; Beijing China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":null,"display_name":"Chen Yunhao","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Yunhao","raw_affiliation_strings":["State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resource Science and Technology, Beijing Normal University, Beijing, China","State Key Lab. of Earth Surface Processes and Resource Ecology; Beijing Normal Univ.; Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resource Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Lab. of Earth Surface Processes and Resource Ecology; Beijing Normal Univ.; Beijing China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.5075,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71241715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":"1","first_page":"70","last_page":"74"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9973999857902527,"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":0.9926000237464905,"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/false-color","display_name":"False color","score":0.7218161821365356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.683495819568634},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6599900722503662},{"id":"https://openalex.org/keywords/spectral-color","display_name":"Spectral color","score":0.6120700836181641},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.6067328453063965},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5713703036308289},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5048967003822327},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.46647128462791443},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43900245428085327},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.4233250916004181},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.403190016746521},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3447777330875397},{"id":"https://openalex.org/keywords/color-model","display_name":"Color model","score":0.29779908061027527},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20908430218696594},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1762116551399231},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12383037805557251}],"concepts":[{"id":"https://openalex.org/C173285193","wikidata":"https://www.wikidata.org/wiki/Q519022","display_name":"False color","level":5,"score":0.7218161821365356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.683495819568634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6599900722503662},{"id":"https://openalex.org/C97991835","wikidata":"https://www.wikidata.org/wiki/Q910300","display_name":"Spectral color","level":5,"score":0.6120700836181641},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.6067328453063965},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5713703036308289},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5048967003822327},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.46647128462791443},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43900245428085327},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.4233250916004181},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.403190016746521},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3447777330875397},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.29779908061027527},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20908430218696594},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1762116551399231},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12383037805557251}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2011.2160710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2011.2160710","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1656974909","https://openalex.org/W1985671643","https://openalex.org/W1990245551","https://openalex.org/W2096774756"],"related_works":["https://openalex.org/W96035736","https://openalex.org/W1971059440","https://openalex.org/W2025468208","https://openalex.org/W2916810246","https://openalex.org/W3198104320","https://openalex.org/W2384488091","https://openalex.org/W4389492757","https://openalex.org/W2028896475","https://openalex.org/W2354322567","https://openalex.org/W2472167268"],"abstract_inverted_index":{"Natural":[0],"color":[1,7,100,127,153,159,176,184,188],"images":[2,8,161,185,193],"are":[3,16,194],"superior":[4],"to":[5,71,181,196],"false":[6,158,183],"for":[9,36,38,122,149],"presentation":[10],"and":[11,30,32,51,86,115],"visual":[12,28,82],"interpretation":[13],"purposes.":[14],"They":[15],"widely":[17],"used":[18],"in":[19,61,91,111,141],"the":[20,58,62,72,92,106,112,132,164],"fields":[21],"of":[22,24,76,134,198],"fly-through":[23],"a":[25,96,98,125,146],"draped":[26],"terrain,":[27],"interpretation,":[29],"display":[31],"have":[33],"been":[34],"designed,":[35],"example,":[37],"nonremote":[39],"sensing":[40],"professional":[41],"users.":[42],"However,":[43],"each":[44],"sensor":[45],"has":[46,119,130],"its":[47],"own":[48],"purpose,":[49],"application,":[50],"limitation.":[52],"In":[53],"addition,":[54],"blue":[55,107,116],"wavelengths":[56],"suffer":[57],"greatest":[59],"scattering":[60],"atmosphere,":[63],"which":[64],"follows":[65],"an":[66],"inverse":[67],"dependence":[68],"on":[69,163],"wavelength":[70],"fourth":[73],"power.":[74],"Some":[75],"high-resolution":[77,135],"satellites":[78],"cover":[79],"only":[80],"two":[81],"spectral":[83,165],"bands":[84],"(green":[85],"red":[87],"bands)":[88],"plus":[89],"one":[90],"near-infrared":[93],"region.":[94],"As":[95],"result,":[97],"true":[99],"image":[101],"cannot":[102],"be":[103,179,197],"formed,":[104],"as":[105],"band":[108],"is":[109,170],"necessary":[110],"red,":[113],"green,":[114],"combination.":[117],"This":[118],"become":[120],"problematic":[121],"users":[123],"needing":[124],"natural":[126,152,187],"composite":[128,155,160],"that":[129],"limited":[131],"application":[133],"images.":[136,189],"To":[137],"overcome":[138],"this":[139,142],"problem,":[140],"letter,":[143],"we":[144],"propose":[145],"new":[147],"approach":[148],"generating":[150],"pseudo":[151],"(PNC)":[154],"representations":[156],"from":[157],"based":[162],"similarity":[166],"scale.":[167],"The":[168,173,190],"method":[169],"validated":[171],"experimentally.":[172],"proposed":[174],"\u201cnatural":[175],"generator\u201d":[177],"can":[178],"applied":[180],"change":[182],"into":[186],"generated":[191],"PNC":[192],"shown":[195],"high":[199],"quality.":[200]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}