{"id":"https://openalex.org/W3207226179","doi":"https://doi.org/10.1109/igarss47720.2021.9553830","title":"An Improved Hyperspectral Image Super Resolution Restoration Algorithm Based on POCS","display_name":"An Improved Hyperspectral Image Super Resolution Restoration Algorithm Based on POCS","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207226179","doi":"https://doi.org/10.1109/igarss47720.2021.9553830","mag":"3207226179"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100374604","display_name":"Yulei Wang","orcid":"https://orcid.org/0000-0001-6436-5883"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulei Wang","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China","State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xian, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101994209","display_name":"Xinxin He","orcid":"https://orcid.org/0000-0002-2909-5272"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin He","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347717","display_name":"Yao Shi","orcid":"https://orcid.org/0000-0001-8486-855X"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Shi","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102369891","display_name":"Qingyu Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyu Zhu","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081712622","display_name":"Haoyang Yu","orcid":"https://orcid.org/0000-0002-4026-7450"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyang Yu","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2460","last_page":"2463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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":0.9991000294685364,"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":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7072840929031372},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6098101139068604},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5709460973739624},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5628632307052612},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5437596440315247},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.539006233215332},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4904925227165222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4793066084384918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.476003497838974},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46942809224128723},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4669664204120636},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4633859097957611},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.42050454020500183},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.338994562625885}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7072840929031372},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6098101139068604},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5709460973739624},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5628632307052612},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5437596440315247},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.539006233215332},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4904925227165222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4793066084384918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.476003497838974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46942809224128723},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4669664204120636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4633859097957611},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.42050454020500183},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.338994562625885}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3850659123","display_name":null,"funder_award_id":"2020M670723,2020M680925","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2388437360","https://openalex.org/W2767022844","https://openalex.org/W2997670356"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W2343470940"],"abstract_inverted_index":{"Super-resolution":[0],"reconstruction":[1],"is":[2,54,81,108,123,144],"a":[3,69],"rapidly":[4],"growing":[5],"research":[6],"area":[7],"in":[8,22,92,167],"hyperspectral":[9,150],"data":[10],"processing.":[11],"However,":[12],"there":[13],"exist":[14],"some":[15,45],"problems,":[16],"such":[17],"as":[18,125],"edge":[19,66],"blur,":[20],"burr":[21,90],"the":[23,36,58,65,73,78,84,89,93,97,102,112,115,126,132,136,141,156,163],"smooth":[24,94],"area,":[25],"subjective":[26],"design":[27],"of":[28,38,57,101,105,114,129,134,149],"iteration":[29,137],"times,":[30],"et":[31],"al.":[32],"This":[33],"paper":[34],"analyzes":[35],"causes":[37],"blur":[39,67],"and":[40,42,170],"burr,":[41],"puts":[43],"forward":[44],"countermeasures":[46],"according":[47],"to":[48,68,87,110,146],"these":[49],"problems.":[50],"Firstly,":[51],"gradient":[52,79],"interpolation":[53],"used":[55,109,124],"instead":[56],"traditional":[59,164],"nearest":[60],"neighbor":[61],"interpolation,":[62],"which":[63,122],"alleviates":[64],"certain":[70],"extent":[71],"problem,":[72],"projection":[74,85],"operator":[75],"calculated":[76],"from":[77],"map":[80],"introduced":[82],"into":[83],"formula":[86],"solve":[88],"phenomenon":[91],"area.":[95],"Then,":[96],"mean":[98],"square":[99],"error":[100],"reconstructed":[103,116],"image":[104,117],"adjacent":[106,120],"iterations":[107],"measure":[111],"similarity":[113],"between":[118],"two":[119],"iterations,":[121,130],"stopping":[127],"criterion":[128],"avoiding":[131],"subjectivity":[133],"setting":[135],"times":[138],"artificially.":[139],"Finally,":[140],"proposed":[142,157],"algorithm":[143,158,166],"applied":[145],"every":[147],"band":[148],"image.":[151],"Experimental":[152],"results":[153],"show":[154],"that":[155],"has":[159],"better":[160],"performance":[161],"than":[162],"POCS":[165],"visual":[168],"effect":[169],"quantitative":[171],"criteria.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}