{"id":"https://openalex.org/W3109004321","doi":"https://doi.org/10.3390/rs12233848","title":"Visualizing Near Infrared Hyperspectral Images with Generative Adversarial Networks","display_name":"Visualizing Near Infrared Hyperspectral Images with Generative Adversarial Networks","publication_year":2020,"publication_date":"2020-11-24","ids":{"openalex":"https://openalex.org/W3109004321","doi":"https://doi.org/10.3390/rs12233848","mag":"3109004321"},"language":"en","primary_location":{"id":"doi:10.3390/rs12233848","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12233848","pdf_url":"https://www.mdpi.com/2072-4292/12/23/3848/pdf?version=1606209088","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/23/3848/pdf?version=1606209088","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005923787","display_name":"Rongxin Tang","orcid":"https://orcid.org/0000-0003-0154-3456"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongxin Tang","raw_affiliation_strings":["Institute of Space Science and Technology, Nanchang University, Nanchang 330031, China","Jiangxi Provincial Key Laboratory of Interdisciplinary Science, Nanchang University, Nanchang 330031, China"],"affiliations":[{"raw_affiliation_string":"Institute of Space Science and Technology, Nanchang University, Nanchang 330031, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"Jiangxi Provincial Key Laboratory of Interdisciplinary Science, Nanchang University, Nanchang 330031, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103120152","display_name":"Hualin Liu","orcid":"https://orcid.org/0000-0001-9110-6297"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hualin Liu","raw_affiliation_strings":["Institute of Space Science and Technology, Nanchang University, Nanchang 330031, China"],"affiliations":[{"raw_affiliation_string":"Institute of Space Science and Technology, Nanchang University, Nanchang 330031, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083273144","display_name":"Jingbo Wei","orcid":"https://orcid.org/0000-0002-1621-4674"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingbo Wei","raw_affiliation_strings":["Institute of Space Science and Technology, Nanchang University, Nanchang 330031, China"],"affiliations":[{"raw_affiliation_string":"Institute of Space Science and Technology, Nanchang University, Nanchang 330031, China","institution_ids":["https://openalex.org/I141649914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083273144"],"corresponding_institution_ids":["https://openalex.org/I141649914"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.9433,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82191621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":"23","first_page":"3848","last_page":"3848"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987000226974487,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9291963577270508},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8352125287055969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7175644040107727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7038173079490662},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6830921173095703},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.585728645324707},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5263102054595947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5167457461357117},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5041743516921997},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4715569019317627},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.442936509847641},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.4133499562740326},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37382829189300537},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16959500312805176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14495745301246643},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0884951651096344}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9291963577270508},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8352125287055969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7175644040107727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7038173079490662},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6830921173095703},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.585728645324707},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5263102054595947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5167457461357117},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5041743516921997},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4715569019317627},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.442936509847641},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.4133499562740326},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37382829189300537},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16959500312805176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14495745301246643},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0884951651096344},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12233848","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12233848","pdf_url":"https://www.mdpi.com/2072-4292/12/23/3848/pdf?version=1606209088","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:809224b1842746a8bb8e30a042e45c0a","is_oa":true,"landing_page_url":"https://doaj.org/article/809224b1842746a8bb8e30a042e45c0a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 12, Iss 23, p 3848 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/23/3848/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12233848","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12233848","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12233848","pdf_url":"https://www.mdpi.com/2072-4292/12/23/3848/pdf?version=1606209088","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G459164070","display_name":null,"funder_award_id":"61860130","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5518685350","display_name":null,"funder_award_id":"41674144","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3109004321.pdf","grobid_xml":"https://content.openalex.org/works/W3109004321.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1910604087","https://openalex.org/W1978400420","https://openalex.org/W1983739455","https://openalex.org/W1985857153","https://openalex.org/W2013111720","https://openalex.org/W2038786973","https://openalex.org/W2048397240","https://openalex.org/W2071075212","https://openalex.org/W2074907730","https://openalex.org/W2078491260","https://openalex.org/W2084989433","https://openalex.org/W2085289658","https://openalex.org/W2097357985","https://openalex.org/W2105441507","https://openalex.org/W2113556835","https://openalex.org/W2132060017","https://openalex.org/W2143001040","https://openalex.org/W2144460512","https://openalex.org/W2149134618","https://openalex.org/W2155146657","https://openalex.org/W2163334907","https://openalex.org/W2165651437","https://openalex.org/W2168600513","https://openalex.org/W2288723698","https://openalex.org/W2342570481","https://openalex.org/W2496841304","https://openalex.org/W2530443751","https://openalex.org/W2548009003","https://openalex.org/W2748412105","https://openalex.org/W2807823288","https://openalex.org/W2885776085","https://openalex.org/W2888796286","https://openalex.org/W2898192831","https://openalex.org/W2963073614","https://openalex.org/W3005452635","https://openalex.org/W3043232579","https://openalex.org/W6639824700","https://openalex.org/W6684197827"],"related_works":["https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W2988577871","https://openalex.org/W1987483041","https://openalex.org/W2292979300","https://openalex.org/W2084145074","https://openalex.org/W1978077614","https://openalex.org/W1982418987","https://openalex.org/W2160357252","https://openalex.org/W2603494857"],"abstract_inverted_index":{"The":[0,99,149],"visualization":[1,43,147],"of":[2,41,57,59,87,113,131],"near":[3,60,128,167],"infrared":[4,61,129,168],"hyperspectral":[5,42,55,169],"images":[6,77,90,134,137],"is":[7,44,69,103,124,142],"valuable":[8],"for":[9,126,166],"quick":[10],"view":[11],"and":[12,96,164],"information":[13],"survey,":[14],"whereas":[15],"methods":[16],"using":[17],"band":[18],"selection":[19],"or":[20],"dimension":[21],"reduction":[22],"fail":[23],"to":[24,52,63,71,80,109],"produce":[25],"good":[26],"colors":[27,165],"as":[28,30,138],"reasonable":[29],"corresponding":[31],"multispectral":[32,76],"images.":[33,84,170],"In":[34,117],"this":[35],"paper,":[36],"an":[37,106],"end-to-end":[38],"neural":[39,50],"network":[40,74,108],"proposed,":[45],"based":[46],"on":[47],"the":[48,73,88,92,111,114,118,121,127,139,154],"convolutional":[49],"networks,":[51],"transform":[53],"a":[54,64],"image":[56],"hundreds":[58],"bands":[62,130],"three-band":[65],"image.":[66],"Supervised":[67],"learning":[68],"used":[70,104],"train":[72],"where":[75],"are":[78],"targeted":[79],"reconstruct":[81],"naturally":[82,161],"looking":[83,162],"Each":[85],"pair":[86],"training":[89,112],"shares":[91],"same":[93],"geographic":[94],"location":[95],"similar":[97],"moments.":[98],"generative":[100],"adversarial":[101,107],"framework":[102],"with":[105,135,144],"improve":[110],"generating":[115],"network.":[116],"experimental":[119,150],"procedure,":[120],"proposed":[122,155],"method":[123,156],"tested":[125],"EO-1":[132],"Hyperion":[133],"LandSat-8":[136],"benchmark,":[140],"which":[141],"compared":[143],"five":[145],"state-of-the-art":[146],"algorithms.":[148],"results":[151],"show":[152],"that":[153],"performs":[157],"better":[158],"in":[159],"producing":[160],"details":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
