{"id":"https://openalex.org/W2765946034","doi":"https://doi.org/10.1109/whispers.2016.8071662","title":"Fusion of hyperspectral and LiDAR data using random feature selection and morphological attribute profiles","display_name":"Fusion of hyperspectral and LiDAR data using random feature selection and morphological attribute profiles","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2765946034","doi":"https://doi.org/10.1109/whispers.2016.8071662","mag":"2765946034"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2016.8071662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071662","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/A5019337252","display_name":"Sathishkumar Samiappan","orcid":"https://orcid.org/0000-0002-8443-883X"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sathishkumar Samiappan","raw_affiliation_strings":["Geosystems Research Institute, Mississippi State University, USA"],"affiliations":[{"raw_affiliation_string":"Geosystems Research Institute, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043542238","display_name":"Lalitha Dabbiru","orcid":"https://orcid.org/0000-0002-0211-3338"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lalitha Dabbiru","raw_affiliation_strings":["Geosystems Research Institute, Mississippi State University, USA"],"affiliations":[{"raw_affiliation_string":"Geosystems Research Institute, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056355204","display_name":"Robert Moorhead","orcid":"https://orcid.org/0000-0002-4642-7873"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Moorhead","raw_affiliation_strings":["Geosystems Research Institute, Mississippi State University, USA"],"affiliations":[{"raw_affiliation_string":"Geosystems Research Institute, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019337252"],"corresponding_institution_ids":["https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":0.6459,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7834874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"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":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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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":0.9272971153259277},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.8056109547615051},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.66129469871521},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6422497034072876},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.607926607131958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5716374516487122},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5646761655807495},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.5291146636009216},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5149839520454407},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44456642866134644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4443266987800598},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.4420650899410248},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41999220848083496},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2873399257659912},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.26711589097976685},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07406419515609741}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9272971153259277},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8056109547615051},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.66129469871521},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6422497034072876},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.607926607131958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5716374516487122},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5646761655807495},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5291146636009216},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5149839520454407},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44456642866134644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4443266987800598},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.4420650899410248},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41999220848083496},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2873399257659912},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.26711589097976685},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07406419515609741},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2016.8071662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071662","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1497089125","https://openalex.org/W1976416886","https://openalex.org/W2041100636","https://openalex.org/W2054689043","https://openalex.org/W2087263574","https://openalex.org/W2127199143","https://openalex.org/W2136251662","https://openalex.org/W2154506590","https://openalex.org/W2169500530","https://openalex.org/W2191810909","https://openalex.org/W4394310272","https://openalex.org/W6863446550"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W4328132048","https://openalex.org/W1969901537","https://openalex.org/W2376202349"],"abstract_inverted_index":{"Hyperspectral":[0],"imagery":[1],"provides":[2],"detailed":[3],"information":[4],"about":[5],"land-cover":[6,72],"materials":[7],"over":[8,114],"a":[9,79,99],"wide":[10],"spectral":[11],"range.":[12],"Land-cover":[13],"classification":[14,36,129],"using":[15],"hyperspectral":[16,44,100],"data":[17,26,47,112],"has":[18,48],"been":[19,49],"an":[20],"active":[21],"topic":[22],"of":[23,43,71],"research.":[24],"Elevation":[25],"from":[27,61,108],"light":[28],"detection":[29],"and":[30,45,64,89,102],"ranging":[31],"(LiDAR)":[32],"can":[33],"aid":[34],"the":[35,52,55,69,115,124],"process":[37],"in":[38,51],"discriminating":[39],"complex":[40],"classes.":[41],"Fusion":[42],"LiDAR":[46,111],"investigated":[50],"past":[53],"where":[54],"goal":[56],"was":[57],"to":[58,67],"extract":[59],"features":[60],"both":[62],"sources":[63],"combine":[65],"them":[66],"improve":[68],"accuracy":[70],"classification.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77],"present":[78],"new":[80],"fusion":[81],"approach":[82,126],"based":[83],"on":[84,98],"random":[85],"feature":[86],"selection":[87],"(RFS)":[88],"morphological":[90],"attribute":[91],"profiles":[92],"(AP).":[93],"Our":[94],"experimental":[95],"study,":[96],"conducted":[97],"image":[101],"digital":[103],"surface":[104],"model":[105],"(DSM)":[106],"derived":[107],"first":[109],"return":[110],"collected":[113],"Samford":[116],"ecological":[117],"research":[118],"facility,":[119],"Queensland,":[120],"Australia":[121],"indicate":[122],"that":[123],"proposed":[125],"yields":[127],"excellent":[128],"results.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
