{"id":"https://openalex.org/W2902492089","doi":"https://doi.org/10.1109/wcsp.2018.8555871","title":"Hyperspectral Target Detection Based on a Spatially Regularized Sparse Representation","display_name":"Hyperspectral Target Detection Based on a Spatially Regularized Sparse Representation","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2902492089","doi":"https://doi.org/10.1109/wcsp.2018.8555871","mag":"2902492089"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2018.8555871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2018.8555871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5100662824","display_name":"Xiaoli Yang","orcid":"https://orcid.org/0000-0002-8891-5656"},"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":"Xiaoli Yang","raw_affiliation_strings":["CIAIC, School of Marine Science and Technology, Northwestern Polytechnical University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIAIC, School of Marine Science and Technology, Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333004","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0003-2306-8860"},"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":"Jie Chen","raw_affiliation_strings":["CIAIC, School of Marine Science and Technology, Northwestern Polytechnical University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIAIC, School of Marine Science and Technology, Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100653787","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0001-5526-866X"},"institutions":[{"id":"https://openalex.org/I148099405","display_name":"Xi'an University of Architecture and Technology","ror":"https://ror.org/04v2j2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I148099405"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["Xi\u2019an University of Architecture and Technology, China","Xi'an University of Architecture and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi\u2019an University of Architecture and Technology, China","institution_ids":["https://openalex.org/I148099405"]},{"raw_affiliation_string":"Xi'an University of Architecture and Technology, China","institution_ids":["https://openalex.org/I148099405"]}]}],"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":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8390","issue":null,"first_page":"1","last_page":"5"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9886000156402588,"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":0.9346839189529419},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7003284692764282},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6958464980125427},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.668529748916626},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5811117887496948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5798726081848145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5646647214889526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.51948082447052},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.46498793363571167},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4608561396598816},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4588947296142578},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4015766680240631},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3734647035598755},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.21581846475601196}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9346839189529419},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7003284692764282},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6958464980125427},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.668529748916626},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5811117887496948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5798726081848145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5646647214889526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.51948082447052},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.46498793363571167},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4608561396598816},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4588947296142578},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4015766680240631},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3734647035598755},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.21581846475601196},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2018.8555871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2018.8555871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","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":14,"referenced_works":["https://openalex.org/W285039866","https://openalex.org/W2011631302","https://openalex.org/W2017014096","https://openalex.org/W2048896124","https://openalex.org/W2060629443","https://openalex.org/W2062406740","https://openalex.org/W2074581196","https://openalex.org/W2091397530","https://openalex.org/W2121879440","https://openalex.org/W2149936180","https://openalex.org/W2163957348","https://openalex.org/W2164278908","https://openalex.org/W2166864699","https://openalex.org/W4292363360"],"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/W2374021060","https://openalex.org/W2016015572"],"abstract_inverted_index":{"Sparse":[0],"representation":[1],"(SR)":[2],"is":[3,17,55,125],"an":[4,46],"effective":[5],"method":[6,130],"for":[7],"target":[8,22],"detection":[9,64,69],"in":[10],"hyperspectral":[11,148],"imagery":[12],"(HSI).":[13],"The":[14,66,122],"structured":[15],"dictionary":[16,34],"arranged":[18],"according":[19],"to":[20,57,61,94,113],"the":[21,25,28,63,74,78,95,115,119,136,140],"class":[23],"and":[24,146],"background":[26],"class,":[27],"sparse":[29,86,120],"coefficients":[30,87],"associated":[31],"with":[32],"each":[33],"element":[35],"of":[36,77,88,118,131,139],"a":[37,101,109],"given":[38],"test":[39],"sample":[40],"can":[41,82],"be":[42,83],"recovered":[43],"by":[44],"solving":[45],"\u2113":[47],"<sub":[48],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[49],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[50],"-norm":[51],"minimization":[52],"problem.":[53],"It":[54,81],"possible":[56],"introduce":[58],"further":[59],"regularization":[60,111],"improve":[62],"performance.":[65],"classical":[67],"SR":[68,103],"algorithms":[70],"does":[71],"not":[72],"consider":[73],"spatial":[75,96,110],"information":[76],"detected":[79],"pixels.":[80],"expected":[84],"that":[85],"adjacent":[89],"pixels":[90],"are":[91],"similar":[92],"due":[93],"correlation.":[97],"This":[98],"paper":[99],"proposes":[100],"novel":[102],"model":[104],"which":[105],"takes":[106],"into":[107],"account":[108],"term":[112],"promote":[114],"piecewise":[116],"continuity":[117],"vectors.":[121],"formulated":[123],"problem":[124],"solved":[126],"via":[127,143],"alternating":[128],"direction":[129],"multipliers":[132],"(ADMM).":[133],"We":[134],"illustrate":[135],"enhanced":[137],"performance":[138],"proposed":[141],"algorithm":[142],"both":[144],"synthetic":[145],"real":[147],"data.":[149]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
