{"id":"https://openalex.org/W2766129936","doi":"https://doi.org/10.1109/whispers.2016.8071714","title":"Understanding spatial-spectral domain interactions in hyperspectral unmixing using exploratory data analysis","display_name":"Understanding spatial-spectral domain interactions in hyperspectral unmixing using exploratory data analysis","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2766129936","doi":"https://doi.org/10.1109/whispers.2016.8071714","mag":"2766129936"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2016.8071714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5060659198","display_name":"Mohammed Q. Alkhatib","orcid":"https://orcid.org/0000-0003-4812-614X"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammed Q. Alkhatib","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Texas at E1 Paso, E1 Paso, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at E1 Paso, E1 Paso, TX, USA","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029233643","display_name":"Miguel V\u00e9lez-Reyes","orcid":"https://orcid.org/0000-0002-6983-7250"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miguel Velez-Reyes","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Texas at E1 Paso, E1 Paso, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at E1 Paso, E1 Paso, TX, USA","institution_ids":["https://openalex.org/I164936912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060659198"],"corresponding_institution_ids":["https://openalex.org/I164936912"],"apc_list":null,"apc_paid":null,"fwci":0.9689,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83039559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"9088","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9965000152587891,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.87940913438797},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7033449411392212},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6939106583595276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6928305625915527},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.6186323761940002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5714595317840576},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5463259220123291},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5115688443183899},{"id":"https://openalex.org/keywords/exploratory-data-analysis","display_name":"Exploratory data analysis","score":0.4950522482395172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49401360750198364},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49118682742118835},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4430026412010193},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4239104986190796},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3987118601799011},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.31362587213516235},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30964332818984985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18882274627685547},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15951982140541077}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.87940913438797},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7033449411392212},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6939106583595276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6928305625915527},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6186323761940002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5714595317840576},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5463259220123291},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5115688443183899},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.4950522482395172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49401360750198364},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49118682742118835},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4430026412010193},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4239104986190796},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3987118601799011},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.31362587213516235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30964332818984985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18882274627685547},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15951982140541077},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2016.8071714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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":6,"referenced_works":["https://openalex.org/W1977415177","https://openalex.org/W2017653035","https://openalex.org/W2059578032","https://openalex.org/W2127523161","https://openalex.org/W2157321686","https://openalex.org/W2163886442"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W319749340","https://openalex.org/W2901539652","https://openalex.org/W4210465694","https://openalex.org/W67682062","https://openalex.org/W1997245853","https://openalex.org/W2030604276"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,110],"visual":[4],"exploratory":[5],"analysis":[6],"of":[7,43,107],"an":[8],"AVIRIS":[9],"hyperspectral":[10,23],"image":[11],"to":[12,37,79,90,92,104,112],"understand":[13],"the":[14,17,28,41,44,47,55,84,94,105,114],"interactions":[15],"between":[16],"spatial":[18,38],"and":[19,70],"spectral":[20],"domains":[21],"in":[22,46,58],"unmixing.":[24],"We":[25],"show":[26,51],"how":[27,91],"global":[29,85],"data":[30,56],"cloud":[31,57,95],"may":[32],"not":[33],"be":[34],"convex":[35,63],"due":[36],"constraints":[39],"on":[40],"distribution":[42],"materials":[45],"scene.":[48],"Furthermore,":[49],"we":[50,65],"that":[52,73,81],"by":[53],"segmenting":[54],"feature":[59],"space":[60],"into":[61],"piecewise":[62],"segments,":[64],"can":[66],"analyze":[67],"individual":[68],"segments":[69],"extract":[71],"endmembers":[72],"better":[74],"capture":[75],"local":[76],"structures":[77],"compared":[78],"methods":[80],"look":[82],"at":[83],"cloud.":[86],"Challenges":[87],"remain":[88],"as":[89,109],"do":[93],"segmentation":[96,108],"using":[97],"machine-based":[98],"approaches.":[99],"However,":[100],"experimental":[101],"results":[102],"point":[103],"use":[106],"way":[111],"address":[113],"problem.":[115]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
