{"id":"https://openalex.org/W2165515632","doi":"https://doi.org/10.1109/icassp.2006.1661492","title":"Signal Processing for Hyperspectral Data","display_name":"Signal Processing for Hyperspectral Data","publication_year":2006,"publication_date":"2006-08-03","ids":{"openalex":"https://openalex.org/W2165515632","doi":"https://doi.org/10.1109/icassp.2006.1661492","mag":"2165515632"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1661492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1661492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","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/A5018292481","display_name":"Pramod K. Varshney","orcid":"https://orcid.org/0000-0003-4504-5088"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P.K. Varshney","raw_affiliation_strings":["Electrical Engineering and Computer Science Department, Syracuse University, Syracuse, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science Department, Syracuse University, Syracuse, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103437356","display_name":"M. K. Arora","orcid":null},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M.K. Arora","raw_affiliation_strings":["Department of Civil Engineering, IIT Roorkee, ROORKEE, INDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, IIT Roorkee, ROORKEE, INDIA","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075151572","display_name":"Raghuveer Rao","orcid":"https://orcid.org/0000-0001-6481-4175"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.M. Rao","raw_affiliation_strings":["Electrical Engineering Department, Rochester Institute of Technology, Rochester, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Rochester Institute of Technology, Rochester, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24942927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"V","last_page":"1181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9746555089950562},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.716505765914917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.704201877117157},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.6358182430267334},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.596939206123352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5580873489379883},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5179637670516968},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.516140341758728},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5071873664855957},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.4914776086807251},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46113455295562744},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.45210951566696167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45013630390167236},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.4442843198776245},{"id":"https://openalex.org/keywords/multidimensional-signal-processing","display_name":"Multidimensional signal processing","score":0.4357052445411682},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4148849844932556},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37303948402404785},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.18860623240470886},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15945246815681458},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12415748834609985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1005648672580719},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08069640398025513}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9746555089950562},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.716505765914917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704201877117157},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.6358182430267334},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.596939206123352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5580873489379883},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5179637670516968},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.516140341758728},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5071873664855957},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.4914776086807251},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46113455295562744},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.45210951566696167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45013630390167236},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.4442843198776245},{"id":"https://openalex.org/C501101116","wikidata":"https://www.wikidata.org/wiki/Q18378116","display_name":"Multidimensional signal processing","level":4,"score":0.4357052445411682},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4148849844932556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37303948402404785},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.18860623240470886},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15945246815681458},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12415748834609985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1005648672580719},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08069640398025513},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2006.1661492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1661492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W36223664","https://openalex.org/W61589700","https://openalex.org/W158571083","https://openalex.org/W186419298","https://openalex.org/W205934574","https://openalex.org/W647539267","https://openalex.org/W1548802052","https://openalex.org/W1991018729","https://openalex.org/W1992105208","https://openalex.org/W2011776176","https://openalex.org/W2014798658","https://openalex.org/W2048147566","https://openalex.org/W2078296814","https://openalex.org/W2081562328","https://openalex.org/W2093528734","https://openalex.org/W2099741732","https://openalex.org/W2126045092","https://openalex.org/W2144205029","https://openalex.org/W2267362924","https://openalex.org/W2295820431","https://openalex.org/W2799061466","https://openalex.org/W4205778870","https://openalex.org/W4230946174","https://openalex.org/W4233760599","https://openalex.org/W4245558686"],"related_works":["https://openalex.org/W2087724950","https://openalex.org/W2366586806","https://openalex.org/W2407777725","https://openalex.org/W1969639826","https://openalex.org/W1582972698","https://openalex.org/W2352476121","https://openalex.org/W2355987888","https://openalex.org/W1964212383","https://openalex.org/W2161001463","https://openalex.org/W3120311794"],"abstract_inverted_index":{"Hyperspectral":[0],"data":[1,48,102],"form":[2],"a":[3],"data-cube":[4],"consisting":[5],"of":[6,8,24,34,43,56,72,86,94],"images":[7],"an":[9,92],"object":[10,80],"collected":[11],"at":[12],"several":[13,51],"hundred,":[14],"closely":[15],"spaced":[16],"wavelengths.":[17],"They":[18],"have":[19],"been":[20],"found":[21],"to":[22,59,70,90],"be":[23],"significant":[25],"potential":[26],"benefit":[27],"in":[28],"areas":[29],"such":[30],"as":[31],"remote":[32],"sensing":[33],"the":[35,46],"Earth,":[36],"medicine,":[37],"and":[38,68,77,82,97],"non-destructive":[39],"evaluation.":[40],"Effective":[41],"extraction":[42],"information":[44],"from":[45,66],"hyperspectral":[47,60,101],"cube":[49],"presents":[50],"signal":[52,74],"processing":[53,75,96],"challenges,":[54],"some":[55],"them":[57],"unique":[58],"data.":[61],"The":[62,84],"problems":[63],"involved":[64],"range":[65],"registration":[67],"enhancement":[69],"development":[71],"statistical":[73],"algorithms":[76],"models":[78],"for":[79,100],"detection":[81],"classification.":[83],"focus":[85],"this":[87],"paper":[88],"is":[89],"provide":[91],"overview":[93],"select":[95],"modeling":[98],"techniques":[99]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}