{"id":"https://openalex.org/W2901973422","doi":"https://doi.org/10.1109/igarss.2018.8519455","title":"Low-Complexity Hyperspectral Image Compression Using Folded PCA and JPEG2000","display_name":"Low-Complexity Hyperspectral Image Compression Using Folded PCA and JPEG2000","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901973422","doi":"https://doi.org/10.1109/igarss.2018.8519455","mag":"2901973422"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8519455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8519455","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/A5067207818","display_name":"Shaohui Mei","orcid":"https://orcid.org/0000-0002-8018-596X"},"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":"Shaohui Mei","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017535810","display_name":"Bakht Muhammad Khan","orcid":"https://orcid.org/0000-0003-4834-3443"},"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":"Bakht Muhammad Khan","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376972","display_name":"Yifan Zhang","orcid":"https://orcid.org/0000-0003-4533-3880"},"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":"Yifan Zhang","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, MS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067207818"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":1.0446,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.8276473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4756","last_page":"4759"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9986000061035156,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9986000061035156,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9954000115394592,"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":0.9929999709129333,"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":0.7621593475341797},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.666179358959198},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.6267399191856384},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.583065390586853},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5748372077941895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.551964282989502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.523032546043396},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5120719075202942},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5055758953094482},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4982752799987793},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48277369141578674},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4256861209869385},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42271384596824646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4010102450847626},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38134467601776123},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20459195971488953},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18385577201843262}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7621593475341797},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.666179358959198},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.6267399191856384},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.583065390586853},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5748372077941895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.551964282989502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.523032546043396},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5120719075202942},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5055758953094482},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4982752799987793},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48277369141578674},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4256861209869385},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42271384596824646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4010102450847626},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38134467601776123},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20459195971488953},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18385577201843262},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8519455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8519455","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1996699294","https://openalex.org/W2000895242","https://openalex.org/W2015574775","https://openalex.org/W2024277145","https://openalex.org/W2067983477","https://openalex.org/W2130939260","https://openalex.org/W2158548804","https://openalex.org/W2166784771"],"related_works":["https://openalex.org/W2292979300","https://openalex.org/W2137369096","https://openalex.org/W2390873329","https://openalex.org/W2151403598","https://openalex.org/W2385039112","https://openalex.org/W2137460601","https://openalex.org/W2354616978","https://openalex.org/W2357744830","https://openalex.org/W2006865992","https://openalex.org/W2375053416"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"compression":[2,119],"by":[3,87],"PCA":[4,28],"and":[5,34,64,103,129],"JPEG2000":[6,67],"can":[7],"provide":[8],"excellent":[9],"rate":[10,127],"distortion":[11,128],"performance":[12],"while":[13],"preserving":[14],"essential":[15],"information":[16],"for":[17,25,68],"a":[18,47,81,98],"successive":[19],"application,":[20],"e.g.,":[21],"classification":[22,130],"tasks.":[23],"However,":[24],"onboard":[26],"applications,":[27],"suffers":[29],"from":[30],"high":[31],"computational":[32,101],"complexity":[33,102],"large":[35],"memory":[36,104],"requirements":[37],"due":[38],"to":[39,60,83],"the":[40,72,89,115],"eigen-analysis":[41,108],"of":[42,75,91,126],"high-dimensional":[43],"covariance":[44,85,92],"matrix.":[45],"Therefore,":[46],"computationally":[48],"more":[49],"efficient":[50],"analysis,":[51],"namely":[52],"Folded":[53],"Principal":[54],"Component":[55],"Analysis":[56],"(FPCA)":[57],"is":[58,78,94,109],"adopted":[59],"perform":[61],"dimension":[62,90],"reduction":[63],"combined":[65],"with":[66],"compression.":[69],"In":[70],"FPCA,":[71],"spectral":[73],"vector":[74],"hyperspectral":[76],"pixels":[77],"folded":[79],"into":[80],"matrix":[82,93],"compute":[84],"matrix,":[86],"which":[88],"highly":[95],"reduced.":[96,110],"As":[97],"result,":[99],"both":[100],"requirement":[105],"in":[106,124],"subsequent":[107],"Experimental":[111],"results":[112],"demonstrate":[113],"that":[114],"proposed":[116],"FPCA+JPEG2000":[117],"based":[118],"scheme":[120],"outperforms":[121],"existing":[122],"PCA+JPEG2000":[123],"terms":[125],"after":[131],"de-compression.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
