{"id":"https://openalex.org/W2135539640","doi":"https://doi.org/10.1109/tgrs.2010.2052815","title":"Automated Labeling of Materials in Hyperspectral Imagery","display_name":"Automated Labeling of Materials in Hyperspectral Imagery","publication_year":2010,"publication_date":"2010-08-10","ids":{"openalex":"https://openalex.org/W2135539640","doi":"https://doi.org/10.1109/tgrs.2010.2052815","mag":"2135539640"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2010.2052815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2052815","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5061307853","display_name":"Brian Bue","orcid":"https://orcid.org/0000-0002-7856-3570"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brian David Bue","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009569707","display_name":"Erzs\u00e9bet Mer\u00e9nyi","orcid":"https://orcid.org/0000-0001-8705-6186"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erzs\u00e9bet Merenyi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051647743","display_name":"B. M. Csath\u00f3","orcid":"https://orcid.org/0000-0001-7768-4998"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Be\u00e1ta Csatho","raw_affiliation_strings":["Department of Geology, The State University of New York, Buffalo, NY, USA","Dept. of Geol., SUNY - Univ. at Buffalo, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geology, The State University of New York, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Dept. of Geol., SUNY - Univ. at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061307853"],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":8.5776,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.97643883,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9703999757766724,"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":0.9678000211715698,"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":0.9538122415542603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6493337154388428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6353070735931396},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6246904730796814},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6222589015960693},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5527021288871765},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5471094250679016},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5416162610054016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5406368374824524},{"id":"https://openalex.org/keywords/imaging-spectrometer","display_name":"Imaging spectrometer","score":0.530768096446991},{"id":"https://openalex.org/keywords/spectral-signature","display_name":"Spectral signature","score":0.5251196026802063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4878073036670685},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.48648661375045776},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.44198086857795715},{"id":"https://openalex.org/keywords/spectrometer","display_name":"Spectrometer","score":0.3764357566833496},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32816413044929504},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19748207926750183},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17144420742988586},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09932157397270203},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08286222815513611}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9538122415542603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6493337154388428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6353070735931396},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6246904730796814},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6222589015960693},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5527021288871765},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5471094250679016},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5416162610054016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5406368374824524},{"id":"https://openalex.org/C183852935","wikidata":"https://www.wikidata.org/wiki/Q6002848","display_name":"Imaging spectrometer","level":3,"score":0.530768096446991},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.5251196026802063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4878073036670685},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.48648661375045776},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.44198086857795715},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.3764357566833496},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32816413044929504},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19748207926750183},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17144420742988586},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09932157397270203},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08286222815513611}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tgrs.2010.2052815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2052815","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.387.6473","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.387.6473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.rice.edu/~erzsebet/papers/BueMerenyiCsatho-TGRS-2010-AutomatedLabeling.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.727.7508","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.727.7508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://disambiguate.info/papers/tgrs10_bbue_preprint.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W283290012","https://openalex.org/W802018654","https://openalex.org/W817971873","https://openalex.org/W1565746575","https://openalex.org/W1623080549","https://openalex.org/W1641840795","https://openalex.org/W1765384791","https://openalex.org/W1963640867","https://openalex.org/W1965452484","https://openalex.org/W1965783777","https://openalex.org/W1966566070","https://openalex.org/W1975844073","https://openalex.org/W2009539575","https://openalex.org/W2012749606","https://openalex.org/W2019038438","https://openalex.org/W2040292825","https://openalex.org/W2073637473","https://openalex.org/W2091397530","https://openalex.org/W2093628091","https://openalex.org/W2094286265","https://openalex.org/W2097487565","https://openalex.org/W2119019914","https://openalex.org/W2134810912","https://openalex.org/W2139094401","https://openalex.org/W2140630750","https://openalex.org/W2143277109","https://openalex.org/W2149197198","https://openalex.org/W2152529565","https://openalex.org/W2153409933","https://openalex.org/W2158246622","https://openalex.org/W2159411209","https://openalex.org/W2160662337","https://openalex.org/W2164437025","https://openalex.org/W2258578877","https://openalex.org/W2330406605","https://openalex.org/W4252684946","https://openalex.org/W4400445037","https://openalex.org/W6622919862","https://openalex.org/W6623043969","https://openalex.org/W6674656623"],"related_works":["https://openalex.org/W3143887424","https://openalex.org/W2394476741","https://openalex.org/W2889956472","https://openalex.org/W2799746630","https://openalex.org/W2371402057","https://openalex.org/W15147237","https://openalex.org/W2090368006","https://openalex.org/W2086636525","https://openalex.org/W56965398","https://openalex.org/W2747004534"],"abstract_inverted_index":{"We":[0,80,109],"present":[1],"a":[2,26,82,97],"technique":[3,16],"for":[4,65],"automatically":[5],"labeling":[6],"segmented":[7],"hyperspectral":[8,66],"imagery":[9],"with":[10],"semantically":[11],"meaningful":[12],"material":[13,33],"labels.":[14],"The":[15,47],"compares":[17],"the":[18,42,72,121],"mean":[19],"signatures":[20,51],"of":[21,29,85,105,120],"each":[22],"image":[23,38,104],"segment":[24],"to":[25,37,41,90],"spectral":[27,50,123],"library":[28,45],"known":[30],"materials,":[31],"and":[32,76,117],"labels":[34],"are":[35],"assigned":[36],"segments":[39],"according":[40],"most":[43],"similar":[44],"entry.":[46],"similarity":[48,61,94],"between":[49],"is":[52],"evaluated":[53],"using":[54,113],"our":[55,111],"recently":[56],"proposed":[57],"<i":[58],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[59],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">CICRd</i>":[60],"measure":[62,69,87],"designed":[63],"specifically":[64],"imagery.":[67],"This":[68],"considers":[70],"both":[71,114],"continuum-intact":[73],"reflectance":[74],"spectrum":[75],"its":[77],"continuum-removed":[78],"representation.":[79],"provide":[81],"thorough":[83],"assessment":[84],"this":[86],"by":[88],"comparison":[89],"several":[91],"commonly":[92],"used":[93],"measures":[95],"on":[96],"well-studied":[98],"low-altitude":[99],"Airborne":[100],"Visible/Infrared":[101],"Imaging":[102],"Spectrometer":[103],"an":[106],"urban":[107],"area.":[108],"evaluate":[110],"results":[112],"information-theoretic":[115],"techniques":[116],"visual":[118],"validation":[119],"resulting":[122],"matches.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}