{"id":"https://openalex.org/W4402262117","doi":"https://doi.org/10.1109/igarss53475.2024.10641207","title":"CR-SSRNet: Cross-Sensor Robust Spectral Super-Resolution Network Guided by Cognition Features","display_name":"CR-SSRNet: Cross-Sensor Robust Spectral Super-Resolution Network Guided by Cognition Features","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402262117","doi":"https://doi.org/10.1109/igarss53475.2024.10641207"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641207","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5070266422","display_name":"Wei\u2010Xin Ren","orcid":"https://orcid.org/0000-0003-0314-0407"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weixin Ren","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China,710129"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101853941","display_name":"Ruiling Liu","orcid":"https://orcid.org/0000-0002-4364-1129"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiling Liu","raw_affiliation_strings":["Shaanxi University of Science and Technology,School of Electronic Information and Artificial Intelligence,Xi&#x2019;an,China,710016"],"affiliations":[{"raw_affiliation_string":"Shaanxi University of Science and Technology,School of Electronic Information and Artificial Intelligence,Xi&#x2019;an,China,710016","institution_ids":["https://openalex.org/I51622183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687346","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0001-6499-5711"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China,710129"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323672","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-0655-056X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China,710129"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011372918","display_name":"Chen Ding","orcid":"https://orcid.org/0000-0001-8101-5738"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Ding","raw_affiliation_strings":["Xi&#x2019;an University of Posts and Telecommunications,School of Computer Science and Technology,Xi&#x2019;an,China,710121"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Posts and Telecommunications,School of Computer Science and Technology,Xi&#x2019;an,China,710121","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yanning Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Zhang","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China,710129"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070266422"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13856144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"9503","last_page":"9508"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","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/computer-science","display_name":"Computer science","score":0.5691137909889221},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.47007161378860474},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4695582687854767},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4478505551815033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35252758860588074},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14732861518859863},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09627169370651245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5691137909889221},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.47007161378860474},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4695582687854767},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4478505551815033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35252758860588074},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14732861518859863},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09627169370651245},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641207","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2893739000","https://openalex.org/W2963372104","https://openalex.org/W2997797376","https://openalex.org/W3035556176","https://openalex.org/W3159481202","https://openalex.org/W3198377975","https://openalex.org/W4221065202","https://openalex.org/W4221161778","https://openalex.org/W4224294196","https://openalex.org/W4225672218","https://openalex.org/W4226277663","https://openalex.org/W4292794036","https://openalex.org/W4313156423","https://openalex.org/W4318718936","https://openalex.org/W4321319299","https://openalex.org/W4386113253","https://openalex.org/W4386384156","https://openalex.org/W4387804011","https://openalex.org/W6791353385","https://openalex.org/W6811470611","https://openalex.org/W6849177959"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2559261346","https://openalex.org/W4280609833","https://openalex.org/W1973979964","https://openalex.org/W4235820682","https://openalex.org/W185479762","https://openalex.org/W2136943174","https://openalex.org/W1968709058","https://openalex.org/W2095246866"],"abstract_inverted_index":{"Spectral":[0],"Super-Resolution":[1],"(SSR)":[2],"aims":[3],"at":[4],"reconstructing":[5],"a":[6,12,21,91,102,104,125],"latent":[7,122],"hyperspectral":[8],"images":[9],"(HSI)":[10],"from":[11,139],"RGB":[13,30,51,73,118],"image.":[14],"Recent":[15],"progress":[16],"mainly":[17],"focused":[18],"on":[19,40,192],"building":[20],"deep":[22,114],"spectral":[23,45,98,158,173],"super-resolution":[24,99,159],"networkto":[25],"directly":[26],"map":[27],"the":[28,33,41,44,50,63,113,121,140,156,164,171,187,197,200],"input":[29,117,141],"image":[31,119],"to":[32,111,132,168],"corresponding":[34],"HSI.":[35,123],"Their":[36],"pleasing":[37],"performance":[38,79,185],"depends":[39],"assumption":[42],"that":[43],"response":[46],"function":[47],"determined":[48],"by":[49,71],"sensor":[52],"is":[53,108,130],"consistent":[54],"across":[55],"training":[56,64],"and":[57,65,120,149,180],"test":[58,66],"data.":[59],"However,":[60],"in":[61,77,155,186],"practice,":[62],"data":[67],"are":[68,146],"inevitably":[69],"captured":[70],"different":[72,152],"sensors,":[74],"thus":[75,181],"resulting":[76],"obvious":[78],"drop":[80],"when":[81],"using":[82,176],"these":[83,144],"networks.":[84],"To":[85],"mitigate":[86],"this":[87],"problem,":[88],"we":[89],"present":[90],"novel":[92],"cognitive":[93,128,137,178],"feature":[94],"guided":[95],"cross-sensor":[96,135,188],"robust":[97],"network.":[100,160],"In":[101],"specific,":[103],"U-shape":[105,157],"multi-scale":[106],"network":[107,166],"first":[109],"established":[110],"learn":[112],"mapping":[115],"between":[116],"Then,":[124],"large-scale":[126],"foundation":[127],"model":[129],"introduced":[131],"extract":[133],"multi-level":[134],"invariant":[136],"features":[138,145],"RGB.":[142],"Moreover,":[143],"separately":[147],"adapted":[148],"injected":[150],"into":[151],"decoder":[153],"blocks":[154],"By":[161],"doing":[162],"these,":[163],"proposed":[165,201],"learns":[167],"appropriately":[169],"guide":[170],"coarse-to-fine":[172],"reconstruction":[174],"process":[175],"multilevel":[177],"features,":[179],"shows":[182],"better":[183],"generalization":[184],"SSR":[189],"tasks.":[190],"Experiments":[191],"two":[193],"benchmark":[194],"datasets":[195],"demonstrate":[196],"superiority":[198],"of":[199],"method":[202],"over":[203],"several":[204],"state-of-the-art":[205],"baselines.":[206]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}
