{"id":"https://openalex.org/W4226058945","doi":"https://doi.org/10.1109/lgrs.2022.3164085","title":"Learning Deep Subspace Projection Prior for Dual-Camera Compressive Hyperspectral Imaging","display_name":"Learning Deep Subspace Projection Prior for Dual-Camera Compressive Hyperspectral Imaging","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226058945","doi":"https://doi.org/10.1109/lgrs.2022.3164085"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3164085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3164085","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/A5101531064","display_name":"Xiaoyang Chen","orcid":"https://orcid.org/0000-0002-4291-2900"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyang Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4291-2900","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024727500","display_name":"Jingxiang Yang","orcid":"https://orcid.org/0000-0002-1234-0614"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]},{"id":"https://openalex.org/I4210140549","display_name":"Skyworth (China)","ror":"https://ror.org/03wb8cw02","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210140549"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingxiang Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","Nanjing Skyworth Institute of Information Technology Company, Ltd., Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1234-0614","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"Nanjing Skyworth Institute of Information Technology Company, Ltd., Nanjing, China","institution_ids":["https://openalex.org/I4210140549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020302879","display_name":"Liang Xiao","orcid":"https://orcid.org/0000-0003-0178-9384"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Xiao","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0178-9384","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101531064"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.3323,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48794102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.9993000030517578,"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":0.875755250453949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7830202579498291},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7581610679626465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6627665758132935},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6553066968917847},{"id":"https://openalex.org/keywords/coded-aperture","display_name":"Coded aperture","score":0.6530784964561462},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6224877834320068},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5623570084571838},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.48404592275619507},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4689202904701233},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.41582056879997253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3322433531284332},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.19129210710525513},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1400771141052246},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.1208232045173645}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.875755250453949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7830202579498291},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7581610679626465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6627665758132935},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6553066968917847},{"id":"https://openalex.org/C2779464207","wikidata":"https://www.wikidata.org/wiki/Q4226196","display_name":"Coded aperture","level":3,"score":0.6530784964561462},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6224877834320068},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5623570084571838},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.48404592275619507},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4689202904701233},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.41582056879997253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3322433531284332},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.19129210710525513},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1400771141052246},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.1208232045173645},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3164085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3164085","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":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G292805373","display_name":null,"funder_award_id":"62001226","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5667856390","display_name":null,"funder_award_id":"BK20200465","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8432856719","display_name":null,"funder_award_id":"61871226","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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2010319424","https://openalex.org/W2012946078","https://openalex.org/W2028349405","https://openalex.org/W2079319869","https://openalex.org/W2084591647","https://openalex.org/W2100109944","https://openalex.org/W2133665775","https://openalex.org/W2144412886","https://openalex.org/W2154761409","https://openalex.org/W2520430674","https://openalex.org/W2766101120","https://openalex.org/W2770113520","https://openalex.org/W2884144629","https://openalex.org/W2903472399","https://openalex.org/W2990070112","https://openalex.org/W3043183554","https://openalex.org/W3118496544","https://openalex.org/W3168080945","https://openalex.org/W3178786402","https://openalex.org/W3186573928","https://openalex.org/W3188774019","https://openalex.org/W4389611014","https://openalex.org/W6739879593"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2060875994","https://openalex.org/W2020022812","https://openalex.org/W2896778670","https://openalex.org/W2161268613","https://openalex.org/W2386766416"],"abstract_inverted_index":{"Coded":[0],"aperture":[1],"snapshot":[2],"spectral":[3,125],"imaging":[4,23],"(CASSI)":[5],"captures":[6],"the":[7,13,28,48,58,101,108,124,143],"3-D":[8],"hyperspectral":[9,22],"images":[10],"(HSI)":[11],"in":[12,56,136],"form":[14],"of":[15,51,62,127,147],"2-D":[16],"coded":[17],"images.":[18],"The":[19,129],"dual-camera":[20,45,76,88,130],"compressive":[21,77,89,131],"(DCCHI)":[24],"can":[25],"effectively":[26],"improve":[27],"reconstruction":[29,90,132],"quality":[30],"by":[31],"adding":[32],"a":[33,82,105],"parallel":[34],"complementary":[35],"panchromatic":[36],"camera.":[37],"Several":[38],"regularization-based":[39],"methods":[40,53],"have":[41],"been":[42],"proposed":[43],"for":[44,75],"reconstruction.":[46,78],"However,":[47],"handcrafted":[49],"priors":[50],"these":[52],"are":[54],"limited":[55],"representing":[57],"complex":[59],"intrinsic":[60],"structure":[61],"HSI.":[63,128],"In":[64],"this":[65],"letter,":[66],"we":[67,99],"propose":[68],"to":[69,115],"learn":[70],"deep":[71,83,109],"subspace":[72,84,110],"projection":[73,85,111],"prior":[74,86,112],"We":[79],"first":[80],"design":[81],"regularized":[87],"model":[91],"and":[92,145],"minimize":[93],"it":[94],"with":[95,117],"alternative":[96],"optimization.":[97],"Then,":[98],"unfold":[100],"optimization":[102],"process":[103],"into":[104],"network.":[106],"Specifically,":[107],"learning":[113],"leads":[114],"features":[116],"low-rank":[118],"characteristics,":[119],"which":[120],"could":[121],"efficiently":[122],"exploit":[123],"correlation":[126],"network":[133],"is":[134],"learned":[135],"an":[137],"end-to-end":[138],"manner.":[139],"Extensive":[140],"experiments":[141],"substantiate":[142],"performance":[144],"efficiency":[146],"other":[148],"start-of-the-art":[149],"algorithms.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
