{"id":"https://openalex.org/W2766051137","doi":"https://doi.org/10.1109/whispers.2013.8080652","title":"Graph constrained multi-model unmixing using LIDAR information","display_name":"Graph constrained multi-model unmixing using LIDAR information","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2766051137","doi":"https://doi.org/10.1109/whispers.2013.8080652","mag":"2766051137"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2013.8080652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5035408199","display_name":"Hamdi Jenzri","orcid":null},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hamdi Jenzri","raw_affiliation_strings":["CECS Department, University of Louisville, KY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CECS Department, University of Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044691751","display_name":"Hichem Frigui","orcid":"https://orcid.org/0000-0002-8281-1629"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hichem Frigui","raw_affiliation_strings":["CECS Department, University of Louisville, KY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CECS Department, University of Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057277525","display_name":"Paul Gader","orcid":"https://orcid.org/0000-0001-6276-9403"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Gader","raw_affiliation_strings":["CISE Department, University of Florida, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CISE Department, University of Florida, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0898,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77455566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"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":0.9825999736785889,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9775000214576721,"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":0.8521862626075745},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.728576123714447},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.687731146812439},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5572957396507263},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4801715910434723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47741425037384033},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4716562330722809},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3780033588409424},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2433546781539917},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19853824377059937},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12294760346412659},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10478654503822327}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8521862626075745},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.728576123714447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.687731146812439},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5572957396507263},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4801715910434723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47741425037384033},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4716562330722809},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3780033588409424},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2433546781539917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19853824377059937},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12294760346412659},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10478654503822327},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2013.8080652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th 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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2051586825","https://openalex.org/W2076332129","https://openalex.org/W2150566919","https://openalex.org/W2163886442","https://openalex.org/W2295820431","https://openalex.org/W4233760599","https://openalex.org/W6669661284"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2072166414","https://openalex.org/W2956374172","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W3034375524"],"abstract_inverted_index":{"Spectral":[0],"unmixing":[1,57,95,115],"is":[2,80,103,128,131,143],"a":[3,52,70,83,97],"challenging,":[4],"ill-posed,":[5],"inverse":[6],"problem":[7],"that":[8,65,87,141],"may":[9],"result":[10],"in":[11],"infinitely":[12],"many":[13],"solutions,":[14],"most":[15],"of":[16,33,38],"which":[17],"are":[18],"meaningless.":[19],"Constraints":[20],"must":[21],"be":[22,41],"added":[23],"to":[24,43,73,105,145],"guide":[25],"the":[26,31,76,107],"search":[27],"process":[28],"and":[29,92,119,136,148,151],"narrow":[30],"space":[32],"possible":[34],"solutions.":[35],"Multiple":[36],"sources":[37],"information":[39],"can":[40],"used":[42,104],"find":[44],"such":[45],"constraints.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"introduce":[51],"semi-supervised":[53],"context":[54,89],"dependent":[55],"hyperspectral":[56,135],"algorithm,":[58],"called":[59],"Graph":[60],"Constrained":[61],"Multi-Model":[62],"Unmixing":[63],"(GC-MMU),":[64],"uses":[66],"partial":[67],"supervision":[68],"from":[69],"LIDAR":[71,101,137],"sensor":[72],"help":[74],"constrain":[75],"unmixing.":[77],"The":[78,100,113],"algorithm":[79,127],"based":[81],"on":[82],"novel":[84],"objective":[85],"function":[86],"combines":[88],"identification,":[90],"semi-supervision":[91],"linear":[93,114],"spectral":[94],"into":[96],"joint":[98],"function.":[99],"image":[102],"generate":[106],"constraints":[108],"allowing":[109],"for":[110,121],"meaningful":[111,147],"contexts.":[112],"provides":[116],"optimal":[117],"endmembers":[118,153],"abundances":[120],"each":[122,155],"context.":[123,156],"An":[124],"alternating":[125],"optimization":[126],"derived.":[129],"GC-MMU":[130,142],"evaluated":[132],"using":[133],"real":[134],"data.":[138],"We":[139],"show":[140],"able":[144],"identify":[146],"coherent":[149],"contexts,":[150],"appropriate":[152],"within":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
