{"id":"https://openalex.org/W2054689043","doi":"https://doi.org/10.1109/lgrs.2014.2350263","title":"Generalized Graph-Based Fusion of Hyperspectral and LiDAR Data Using Morphological Features","display_name":"Generalized Graph-Based Fusion of Hyperspectral and LiDAR Data Using Morphological Features","publication_year":2014,"publication_date":"2014-09-08","ids":{"openalex":"https://openalex.org/W2054689043","doi":"https://doi.org/10.1109/lgrs.2014.2350263","mag":"2054689043"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2014.2350263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2014.2350263","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5015582924","display_name":"Wenzhi Liao","orcid":"https://orcid.org/0000-0002-2183-0324"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Wenzhi Liao","raw_affiliation_strings":["Image Processing and Interpretation, Department of Telecommunications and Information Processing, iMinds, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Image Processing and Interpretation, Department of Telecommunications and Information Processing, iMinds, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031078128","display_name":"Aleksandra Pi\u017eurica","orcid":"https://orcid.org/0000-0002-9322-4999"},"institutions":[{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]},{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Aleksandra Pizurica","raw_affiliation_strings":["Image Processing and Interpretation, Department of Telecommunications and Information Processing, iMinds, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Image Processing and Interpretation, Department of Telecommunications and Information Processing, iMinds, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050298076","display_name":"Rik Bellens","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Rik Bellens","raw_affiliation_strings":["Image Processing and Interpretation, Department of Telecommunications and Information Processing, iMinds, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Image Processing and Interpretation, Department of Telecommunications and Information Processing, iMinds, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078286523","display_name":"Sidharta Gautama","orcid":"https://orcid.org/0000-0001-5628-6974"},"institutions":[{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]},{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Sidharta Gautama","raw_affiliation_strings":["Image Processing and Interpretation, Department of Telecommunications and Information Processing, iMinds, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Image Processing and Interpretation, Department of Telecommunications and Information Processing, iMinds, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071483672","display_name":"Wilfried Philips","orcid":"https://orcid.org/0000-0003-4456-4353"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Wilfried Philips","raw_affiliation_strings":["Image Processing and Interpretation, Department of Telecommunications and Information Processing, iMinds, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Image Processing and Interpretation, Department of Telecommunications and Information Processing, iMinds, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015582924"],"corresponding_institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"],"apc_list":null,"apc_paid":null,"fwci":15.1997,"has_fulltext":false,"cited_by_count":189,"citation_normalized_percentile":{"value":0.99099754,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"12","issue":"3","first_page":"552","last_page":"556"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.996399998664856,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8073828220367432},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7166424989700317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6432852745056152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6221990585327148},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5979651212692261},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.584632933139801},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5768206119537354},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5227082967758179},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.51036137342453},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4963093400001526},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45000436902046204},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4354991614818573},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4254035949707031},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3557150065898895},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.27628952264785767},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19388800859451294},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06878328323364258}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8073828220367432},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7166424989700317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6432852745056152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6221990585327148},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5979651212692261},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.584632933139801},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5768206119537354},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5227082967758179},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.51036137342453},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4963093400001526},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45000436902046204},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4354991614818573},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4254035949707031},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3557150065898895},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.27628952264785767},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19388800859451294},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06878328323364258},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2014.2350263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2014.2350263","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:archive.ugent.be:5707523","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/5707523","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1545-598X","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4300000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W40668306","https://openalex.org/W1965309615","https://openalex.org/W1974981350","https://openalex.org/W1976416886","https://openalex.org/W2019338222","https://openalex.org/W2035168298","https://openalex.org/W2043665634","https://openalex.org/W2083541351","https://openalex.org/W2108979787","https://openalex.org/W2118796925","https://openalex.org/W2139427051","https://openalex.org/W2140095548","https://openalex.org/W2153635508","https://openalex.org/W2154872931","https://openalex.org/W2156718197","https://openalex.org/W2159070926","https://openalex.org/W2165608115","https://openalex.org/W2165796970","https://openalex.org/W2952430178","https://openalex.org/W3120421331","https://openalex.org/W4320339642","https://openalex.org/W6682644385","https://openalex.org/W6682755970","https://openalex.org/W6683637833","https://openalex.org/W6764653903"],"related_works":["https://openalex.org/W2132083814","https://openalex.org/W2292979300","https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081"],"abstract_inverted_index":{"Nowadays,":[0],"we":[1,130],"have":[2],"diverse":[3],"sensor":[4],"technologies":[5],"and":[6,33,37,80,141,152,158,202,213],"image":[7,40],"processing":[8,41],"algorithms":[9],"that":[10,51],"allow":[11],"one":[12],"to":[13,69,137],"measure":[14],"different":[15,124],"aspects":[16],"of":[17,65,75,107,144,167,207],"objects":[18],"on":[19,87,113,155,199],"the":[20,73,89,103,108,114,123,145,149,162,165,168,174,177,194,208],"Earth":[21],"[e.g.,":[22],"spectral":[23,146],"characteristics":[24],"in":[25,30,39,105,193],"hyperspectral":[26],"images":[27],"(HSIs),":[28],"height":[29],"light":[31],"detection":[32],"ranging":[34],"(LiDAR)":[35],"data,":[36],"geometry":[38],"technologies,":[42],"such":[43,71],"as":[44,72],"morphological":[45],"profiles":[46],"(MPs)].":[47],"It":[48],"is":[49,92],"clear":[50,184],"no":[52],"single":[53],"technology":[54],"can":[55,67],"be":[56],"sufficient":[57],"for":[58],"a":[59,132,183],"reliable":[60],"classification,":[61],"but":[62],"combining":[63],"many":[64],"them":[66],"lead":[68],"problems":[70],"curse":[74],"dimensionality,":[76],"excessive":[77],"computation":[78],"time,":[79],"so":[81],"on.":[82],"Applying":[83],"feature":[84,109,142,179],"reduction":[85,140],"techniques":[86],"all":[88],"features":[90],"together":[91],"not":[93,99],"good":[94],"either,":[95],"because":[96],"it":[97],"does":[98],"take":[100],"into":[101],"account":[102],"differences":[104],"structure":[106],"spaces.":[110],"Decision":[111],"fusion,":[112],"other":[115],"hand,":[116],"has":[117],"difficulties":[118],"with":[119,190],"modeling":[120],"correlations":[121],"between":[122,176],"data":[125,204],"sources.":[126],"In":[127,161],"this":[128],"letter,":[129],"propose":[131],"generalized":[133],"graph-based":[134],"fusion":[135,143,169,195],"method":[136,210],"couple":[138],"dimension":[139],"information":[147],"(of":[148],"original":[150],"HSI)":[151],"MPs":[153],"(built":[154],"both":[156,211],"HS":[157],"LiDAR":[159,203],"data).":[160],"proposed":[163,209],"method,":[164],"edges":[166,192],"graph":[170],"are":[171],"weighted":[172],"by":[173],"distance":[175],"stacked":[178],"points.":[180],"This":[181],"yields":[182],"improvement":[185],"over":[186],"an":[187],"older":[188],"approach":[189],"binary":[191],"graph.":[196],"Experimental":[197],"results":[198],"real":[200],"HSI":[201],"demonstrate":[205],"effectiveness":[206],"visually":[212],"quantitatively.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":5}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
