{"id":"https://openalex.org/W2901277853","doi":"https://doi.org/10.1109/igarss.2018.8518137","title":"Patch-Based Residual Networks for Compressively Sensed Hyperspectral Images Restruction","display_name":"Patch-Based Residual Networks for Compressively Sensed Hyperspectral Images Restruction","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901277853","doi":"https://doi.org/10.1109/igarss.2018.8518137","mag":"2901277853"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8518137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 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/A5027851405","display_name":"Xiaowei Hu","orcid":"https://orcid.org/0000-0002-5708-7018"},"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":"Xiaowei Hu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"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/A5102744301","display_name":"Yang Xu","orcid":"https://orcid.org/0000-0002-5499-3728"},"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":"Yang Xu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"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/A5070343691","display_name":"Zhihui Wei","orcid":"https://orcid.org/0000-0002-4841-6051"},"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":"Zhihui Wei","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"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/A5100622133","display_name":"Hongyi Liu","orcid":"https://orcid.org/0000-0001-8941-4346"},"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":"Hongyi Liu","raw_affiliation_strings":["School of Science, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103211253","display_name":"Ling Qian","orcid":"https://orcid.org/0000-0001-5661-1722"},"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":"Ling Qian","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027851405"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.14172154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"6163","last_page":"6166"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8406844139099121},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7628854513168335},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7488164901733398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.708993136882782},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6769751310348511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6519586443901062},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6237310171127319},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5206683874130249},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.506576418876648},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4137926697731018},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27513962984085083}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8406844139099121},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7628854513168335},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7488164901733398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.708993136882782},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6769751310348511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6519586443901062},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6237310171127319},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5206683874130249},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.506576418876648},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4137926697731018},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27513962984085083}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8518137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1903029394","https://openalex.org/W2100109944","https://openalex.org/W2112796928","https://openalex.org/W2119667497","https://openalex.org/W2130120519","https://openalex.org/W2163605009","https://openalex.org/W2273561594","https://openalex.org/W2578009003","https://openalex.org/W2753574358","https://openalex.org/W2963676935","https://openalex.org/W6631190155","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W2343470940","https://openalex.org/W2896778670"],"abstract_inverted_index":{"Most":[0],"traditional":[1],"compressive":[2,46,113],"sensing":[3,47,114],"(CS)":[4],"reconstruction":[5,43,48,67,115],"methods":[6,116],"suffer":[7],"from":[8,28],"the":[9,50,57,73,79,87,101,111],"intensive":[10],"computation":[11],"caused":[12,62],"by":[13,63,92],"iterations.":[14],"This":[15],"paper":[16],"aims":[17],"at":[18],"presenting":[19],"a":[20,97],"non-iterative":[21],"algorithm":[22],"to":[23],"reconstruct":[24,71],"hyperspectral":[25],"images":[26],"(HSI)":[27],"patch-based":[29,64,118],"compressively":[30],"sensed":[31],"measurements.":[32],"Our":[33],"method":[34,109],"contains":[35],"two":[36],"residual":[37],"convolutional":[38],"neural":[39],"networks.":[40],"One":[41],"is":[42,52,61,82,90],"network":[44,54,68],"for":[45,55],"and":[49],"other":[51],"deblocking":[53,102],"removing":[56],"blocky":[58],"effect,":[59],"which":[60],"sampling.":[65],"The":[66],"can":[69],"efficiently":[70],"all":[72],"bands":[74],"of":[75],"HSI":[76],"jointly,":[77],"thus":[78],"spectral":[80],"correlation":[81],"well":[83],"preserved.":[84],"In":[85],"addition,":[86],"deblock":[88],"performance":[89],"enhanced":[91],"combining":[93],"more":[94],"patches":[95],"into":[96],"larger":[98],"patch":[99],"in":[100],"network.":[103],"Experimental":[104],"results":[105],"verify":[106],"that":[107],"our":[108],"outperforms":[110],"state-of-the-art":[112],"with":[117],"CS":[119],"measurement.":[120]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
