{"id":"https://openalex.org/W2043513498","doi":"https://doi.org/10.1109/cybconf.2013.6617463","title":"Learning recovered pattern from region-dependent model for hyperspectral imagery","display_name":"Learning recovered pattern from region-dependent model for hyperspectral imagery","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2043513498","doi":"https://doi.org/10.1109/cybconf.2013.6617463","mag":"2043513498"},"language":"en","primary_location":{"id":"doi:10.1109/cybconf.2013.6617463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2013.6617463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Cybernetics (CYBCO)","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/A5101498949","display_name":"Huiwu Luo","orcid":"https://orcid.org/0000-0002-5908-5518"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Huiwu Luo","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macao, China","[Department of Computer and information science, University of Macau, Macau, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macao, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"[Department of Computer and information science, University of Macau, Macau, China]","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101452617","display_name":"Lina Yang","orcid":"https://orcid.org/0000-0001-9130-5122"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Lina Yang","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macao, China","[Department of Computer and information science, University of Macau, Macau, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macao, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"[Department of Computer and information science, University of Macau, Macau, China]","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016933731","display_name":"Haoliang Yuan","orcid":"https://orcid.org/0000-0001-5167-226X"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Haoliang Yuan","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macao, China","[Department of Computer and information science, University of Macau, Macau, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macao, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"[Department of Computer and information science, University of Macau, Macau, China]","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085140523","display_name":"Yuan Yan Tang","orcid":"https://orcid.org/0000-0002-6887-130X"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yuan Yan Tang","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macao, China","[Department of Computer and information science, University of Macau, Macau, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macao, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"[Department of Computer and information science, University of Macau, Macau, China]","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17843779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"150","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9994999766349792,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9242628812789917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6598599553108215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6546170711517334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5784218907356262},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5197386741638184},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49980592727661133},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4398244321346283},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43624839186668396},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.4315077066421509},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41024303436279297},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36010482907295227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32375311851501465},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20380035042762756}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9242628812789917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6598599553108215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6546170711517334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5784218907356262},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5197386741638184},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49980592727661133},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4398244321346283},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43624839186668396},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.4315077066421509},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41024303436279297},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36010482907295227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32375311851501465},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20380035042762756},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cybconf.2013.6617463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2013.6617463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Cybernetics (CYBCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"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":17,"referenced_works":["https://openalex.org/W1980731071","https://openalex.org/W1982611432","https://openalex.org/W1987942997","https://openalex.org/W2009101779","https://openalex.org/W2069231830","https://openalex.org/W2101365302","https://openalex.org/W2104453356","https://openalex.org/W2106513083","https://openalex.org/W2114220616","https://openalex.org/W2119543432","https://openalex.org/W2143516773","https://openalex.org/W2149631607","https://openalex.org/W2158962363","https://openalex.org/W2160484748","https://openalex.org/W2167685974","https://openalex.org/W2171895253","https://openalex.org/W6675804494"],"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/W2088899772"],"abstract_inverted_index":{"The":[0,118,134],"Compressive-Projection":[1],"Principle":[2],"Component":[3],"Analysis":[4],"(CPPCA)":[5],"technique":[6],"which":[7,95],"recovers":[8],"hyperspectral":[9,113,149],"image(HSI)":[10],"data":[11,151],"from":[12],"random":[13],"projection":[14],"efficiently,":[15],"has":[16],"been":[17],"proved":[18],"to":[19,52,54,67,72,81,111,125],"be":[20],"significant":[21],"in":[22,103],"decreasing":[23],"signal-sensing":[24],"costs":[25],"at":[26],"the":[27,31,34,38,48,55,73,76,98],"sender.":[28],"Inspired":[29],"by":[30,147],"fact":[32,74],"that":[33,75],"spectral":[35,99],"signature":[36],"of":[37,47,138],"same":[39,56],"ground":[40,57],"cover":[41],"is":[42,79,122,145],"similar,":[43],"and":[44,100,136],"two":[45],"pixels":[46],"neighborhood":[49],"are":[50],"likely":[51],"belonging":[53],"cover,":[58],"this":[59],"paper":[60],"proposed":[61,83,139],"a":[62,88],"novel":[63],"region-dependent":[64,140],"approach":[65,92],"CPPCA":[66,119,141],"recover":[68],"HSI":[69],"data.":[70],"Due":[71],"region":[77,127],"map":[78],"critical":[80],"our":[82],"algorithm,":[84],"herewith":[85],"we":[86],"employ":[87],"robust":[89],"supervised":[90],"Bayesian":[91],"(LORSAL-MLL":[93],"segmentation)":[94],"explores":[96],"both":[97],"spatial":[101],"information":[102],"an":[104],"intuitive":[105],"interpretation":[106],"with":[107,153],"small":[108],"size":[109],"samples":[110],"segment":[112],"image":[114,150],"into":[115],"different":[116],"regions.":[117],"reconstruction":[120],"procedure":[121],"then":[123],"employed":[124],"each":[126,131],"independently":[128],"other":[129],"than":[130],"partition":[132],"individually.":[133],"effectiveness":[135],"practicability":[137],"(RDCPPCA)":[142],"reconstructed":[143],"algorithm":[144],"illustrated":[146],"real":[148],"set":[152],"several":[154],"criteria":[155],"measurement.":[156]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}