{"id":"https://openalex.org/W2728347951","doi":"https://doi.org/10.1109/siu.2017.7960301","title":"LiDAR aided hyperspectral images segmentation using schroedinger eigenmaps","display_name":"LiDAR aided hyperspectral images segmentation using schroedinger eigenmaps","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2728347951","doi":"https://doi.org/10.1109/siu.2017.7960301","mag":"2728347951"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","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/A5043482892","display_name":"Orhan Torun","orcid":"https://orcid.org/0000-0003-3850-9120"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Orhan Torun","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Hacettepe \u00dcniversitesi, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Hacettepe \u00dcniversitesi, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012317612","display_name":"Seniha Esen Y\u00fcksel","orcid":"https://orcid.org/0000-0002-8868-1132"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Seniha Esen Yuksel","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Hacettepe \u00dcniversitesi, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Hacettepe \u00dcniversitesi, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I66514158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043482892"],"corresponding_institution_ids":["https://openalex.org/I66514158"],"apc_list":null,"apc_paid":null,"fwci":0.2354,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59478142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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":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":0.9979000091552734,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9932000041007996,"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":0.7984025478363037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7559714317321777},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6693447828292847},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.645305871963501},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6208838224411011},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5562489032745361},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5515078902244568},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47542718052864075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4600721299648285},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3859424591064453},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3539086580276489},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22317147254943848},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07623383402824402}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7984025478363037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7559714317321777},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6693447828292847},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.645305871963501},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6208838224411011},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5562489032745361},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5515078902244568},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47542718052864075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4600721299648285},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3859424591064453},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3539086580276489},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22317147254943848},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07623383402824402},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2017.7960301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","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":9,"referenced_works":["https://openalex.org/W2000008842","https://openalex.org/W2018451425","https://openalex.org/W2110158442","https://openalex.org/W2118996198","https://openalex.org/W2121947440","https://openalex.org/W2156167477","https://openalex.org/W2432700006","https://openalex.org/W2556950958","https://openalex.org/W6677508755"],"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/W1522196789"],"abstract_inverted_index":{"The":[0,47,68],"segmentation":[1,69,82],"of":[2,50,75,84,92,102],"hyperspectral":[3],"images":[4],"(HSI)":[5],"based":[6],"on":[7],"spatial":[8,60],"and":[9,43,62,99],"spectral":[10],"information":[11,38],"is":[12,32,53],"being":[13],"used":[14],"in":[15],"many":[16],"fields":[17],"from":[18,40],"target":[19],"detection":[20],"to":[21,34],"classification.":[22],"In":[23,79],"this":[24,76],"paper,":[25],"a":[26],"new":[27],"Schroedinger":[28,95],"Eigenmaps":[29,96],"(SE)":[30],"algorithm":[31,52,98],"proposed":[33,86],"combine":[35],"both":[36],"elevation":[37],"obtained":[39,54],"LiDAR":[41,66],"data":[42],"the":[44,57,63,81,85,90,93,100,103],"spatial-spectral":[45],"information.":[46],"potential":[48,77],"matrix":[49],"SE":[51],"by":[55],"integrating":[56],"proximity":[58,64],"between":[59,65],"components":[61],"data.":[67],"results":[70,83,91,101],"are":[71],"examined":[72],"with":[73,89],"weighting":[74],"matrix.":[78],"addition,":[80],"method":[87],"compares":[88],"Spatial-Spectral":[94],"(SSSE)":[97],"Normalized":[104],"Cut":[105],"algorithm.":[106]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
