{"id":"https://openalex.org/W4391141069","doi":"https://doi.org/10.3390/rs16030437","title":"ERS-HDRI: Event-Based Remote Sensing HDR Imaging","display_name":"ERS-HDRI: Event-Based Remote Sensing HDR Imaging","publication_year":2024,"publication_date":"2024-01-23","ids":{"openalex":"https://openalex.org/W4391141069","doi":"https://doi.org/10.3390/rs16030437"},"language":"en","primary_location":{"id":"doi:10.3390/rs16030437","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16030437","pdf_url":"https://www.mdpi.com/2072-4292/16/3/437/pdf?version=1705994205","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/2072-4292/16/3/437/pdf?version=1705994205","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100355077","display_name":"Xiaopeng Li","orcid":"https://orcid.org/0000-0001-8103-5595"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopeng Li","raw_affiliation_strings":["The School of Electronic Information, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"The School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034201627","display_name":"S. T. Cheng","orcid":"https://orcid.org/0009-0006-0903-5287"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaibo Cheng","raw_affiliation_strings":["The School of Electronic Information, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"The School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027500344","display_name":"Zhaoyuan Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyuan Zeng","raw_affiliation_strings":["The School of Electronic Information, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"The School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004274884","display_name":"Chen Zhao","orcid":"https://orcid.org/0000-0001-8335-3749"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhao","raw_affiliation_strings":["The School of Electronic Information, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"The School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090656144","display_name":"Cien Fan","orcid":"https://orcid.org/0000-0002-4973-6444"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cien Fan","raw_affiliation_strings":["The School of Electronic Information, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"The School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090656144"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.0515,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75541958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"16","issue":"3","first_page":"437","last_page":"437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9979000091552734,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9975000023841858,"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/remote-sensing","display_name":"Remote sensing","score":0.5982878804206848},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.47182971239089966},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4584372639656067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3296894431114197},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.27933770418167114}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5982878804206848},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.47182971239089966},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4584372639656067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3296894431114197},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.27933770418167114},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16030437","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16030437","pdf_url":"https://www.mdpi.com/2072-4292/16/3/437/pdf?version=1705994205","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:b25e34915f1f4ca1977f0fcdcaecb890","is_oa":true,"landing_page_url":"https://doaj.org/article/b25e34915f1f4ca1977f0fcdcaecb890","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 3, p 437 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16030437","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16030437","pdf_url":"https://www.mdpi.com/2072-4292/16/3/437/pdf?version=1705994205","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391141069.pdf"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W1995956214","https://openalex.org/W2008675431","https://openalex.org/W2010316810","https://openalex.org/W2051441226","https://openalex.org/W2099324980","https://openalex.org/W2145170221","https://openalex.org/W2151103935","https://openalex.org/W2240650900","https://openalex.org/W2331128040","https://openalex.org/W2472115300","https://openalex.org/W2602186967","https://openalex.org/W2736326359","https://openalex.org/W2736611505","https://openalex.org/W2766497195","https://openalex.org/W2791710889","https://openalex.org/W2901157565","https://openalex.org/W2938463073","https://openalex.org/W2962749812","https://openalex.org/W2964615694","https://openalex.org/W2998529071","https://openalex.org/W3008439211","https://openalex.org/W3009818596","https://openalex.org/W3010556452","https://openalex.org/W3024380564","https://openalex.org/W3034278302","https://openalex.org/W3034350443","https://openalex.org/W3034628923","https://openalex.org/W3035303839","https://openalex.org/W3035383808","https://openalex.org/W3035441328","https://openalex.org/W3036994956","https://openalex.org/W3040838455","https://openalex.org/W3040987333","https://openalex.org/W3104899156","https://openalex.org/W3116091167","https://openalex.org/W3121214277","https://openalex.org/W3122099796","https://openalex.org/W3139527458","https://openalex.org/W3139937682","https://openalex.org/W3169550143","https://openalex.org/W3173258625","https://openalex.org/W3173755231","https://openalex.org/W3174491972","https://openalex.org/W3174617618","https://openalex.org/W3176234575","https://openalex.org/W3176637199","https://openalex.org/W3193430349","https://openalex.org/W3200096026","https://openalex.org/W4214902837","https://openalex.org/W4220759273","https://openalex.org/W4220835499","https://openalex.org/W4285272546","https://openalex.org/W4285603430","https://openalex.org/W4292794822","https://openalex.org/W4313159462","https://openalex.org/W4313244314","https://openalex.org/W4315781540","https://openalex.org/W4319068627","https://openalex.org/W4380763457","https://openalex.org/W4382371057","https://openalex.org/W4384519088","https://openalex.org/W4385805203","https://openalex.org/W4386065527","https://openalex.org/W4387922488","https://openalex.org/W4387967930","https://openalex.org/W4388470054","https://openalex.org/W4390873076","https://openalex.org/W6755494875"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"High":[0],"dynamic":[1,14,102,118,132],"range":[2,15,103,119,133],"imaging":[3,64,208],"(HDRI)":[4],"is":[5,66,127],"an":[6,59],"essential":[7],"task":[8],"in":[9,39,48],"remote":[10,17,61,78,215,222,226],"sensing,":[11],"enhancing":[12],"low":[13],"(LDR)":[16],"sensing":[18,62,79,216,223,227],"images":[19],"and":[20,28,87,107,138,140,143,154,181,193,210,230,254],"benefiting":[21],"downstream":[22],"tasks,":[23],"such":[24],"as":[25,73],"object":[26],"detection":[27],"image":[29,51,81,86,192],"segmentation.":[30],"However,":[31],"conventional":[32,54],"frame-based":[33],"HDRI":[34,217],"methods":[35],"may":[36],"encounter":[37],"challenges":[38],"real-world":[40,213,263],"scenarios":[41],"due":[42],"to":[43,68,115,129,146],"the":[44,77,100,108,124,131,164,167,173,189,240,243,255,262],"limited":[45],"information":[46],"inherent":[47],"a":[49,83,96,155,195,205,211],"single":[50],"captured":[52],"by":[53,251,258],"cameras.":[55],"In":[56,200],"this":[57,70,202],"paper,":[58],"event-based":[60,101,214],"HDR":[63,80,110,170,191,198,228],"framework":[65],"proposed":[67,93,244],"address":[69],"problem,":[71],"denoted":[72],"ERS-HDRI,":[74],"which":[75],"reconstructs":[76],"from":[82,121,135],"single-exposure":[84],"LDR":[85,136,224],"its":[88,177],"concurrent":[89,231],"event":[90,232],"streams.":[91],"The":[92],"ERS-HDRI":[94],"leverages":[95],"coarse-to-fine":[97],"framework,":[98],"incorporating":[99],"enhancement":[104,179],"(E-DRE)":[105],"network":[106,126,153,159],"gradient-enhanced":[109],"reconstruction":[111],"(G-HDRR)":[112],"network.":[113],"Specifically,":[114,246],"efficiently":[116],"achieve":[117],"fusion":[120,158,183],"different":[122],"domains,":[123],"E-DRE":[125],"designed":[128],"extract":[130],"features":[134],"frames":[137],"events":[139],"perform":[141],"intra-":[142],"cross-attention":[144],"operations":[145],"adaptively":[147],"fuse":[148],"multi-modal":[149],"data.":[150],"A":[151],"denoise":[152],"dense":[156],"feature":[157],"are":[160],"then":[161],"employed":[162],"for":[163,234],"generation":[165],"of":[166,242],"coarse,":[168],"clean":[169],"image.":[171,199],"Then,":[172],"G-HDRR":[174],"network,":[175],"with":[176],"gradient":[178],"module":[180],"multiscale":[182],"module,":[184],"performs":[185],"structure":[186],"enforcement":[187],"on":[188,261],"coarse":[190],"generates":[194],"fine":[196],"informative":[197],"addition,":[201],"work":[203],"introduces":[204],"specialized":[206],"hybrid":[207],"system":[209],"novel,":[212],"dataset":[218],"that":[219],"contains":[220],"aligned":[221],"images,":[225,229],"streams":[233],"evaluation.":[235],"Comprehensive":[236],"experiments":[237],"have":[238],"demonstrated":[239],"effectiveness":[241],"method.":[245],"it":[247],"improves":[248],"state-of-the-art":[249],"PSNR":[250],"about":[252,259],"30%":[253],"SSIM":[256],"score":[257],"9%":[260],"dataset.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}
