{"id":"https://openalex.org/W2120893400","doi":"https://doi.org/10.1109/igarss.2010.5649755","title":"Estimation of virtual dimensionality in hyperspectral imagery by linear spectral mixture analysis","display_name":"Estimation of virtual dimensionality in hyperspectral imagery by linear spectral mixture analysis","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2120893400","doi":"https://doi.org/10.1109/igarss.2010.5649755","mag":"2120893400"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2010.5649755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2010.5649755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Geoscience and Remote Sensing Symposium","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/A5101841833","display_name":"Wei Xiong","orcid":"https://orcid.org/0009-0004-9887-049X"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Xiong","raw_affiliation_strings":["University of Maryland Baltimore County, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073412670","display_name":"Chein\u2010I Chang","orcid":"https://orcid.org/0000-0002-5450-4891"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]},{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"Chein-I Chang","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan","University of Maryland Baltimore County, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102178540","display_name":"Ching-Tsorng Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I169090423","display_name":"Tunghai University","ror":"https://ror.org/00zhvdn11","country_code":"TW","type":"education","lineage":["https://openalex.org/I169090423"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Tsorng Tsai","raw_affiliation_strings":["Computer Science Department, Tunghai University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Tunghai University, Taichung, Taiwan","institution_ids":["https://openalex.org/I169090423"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"979","last_page":"982"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9886999726295471,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9659000039100647,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.938347578048706},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7384212017059326},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6488004326820374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6271048188209534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6186721920967102},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.6100492477416992},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.566543698310852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5632662773132324},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5191404223442078},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.4326527416706085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3666701316833496},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32918301224708557},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2670918107032776}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.938347578048706},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7384212017059326},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6488004326820374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6271048188209534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6186721920967102},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.6100492477416992},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.566543698310852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5632662773132324},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5191404223442078},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.4326527416706085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3666701316833496},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32918301224708557},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2670918107032776},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2010.5649755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2010.5649755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Geoscience and Remote Sensing Symposium","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":6,"referenced_works":["https://openalex.org/W1966049957","https://openalex.org/W2070424424","https://openalex.org/W2114486983","https://openalex.org/W2117741752","https://openalex.org/W2163547919","https://openalex.org/W2165755981"],"related_works":["https://openalex.org/W2909119362","https://openalex.org/W2766146978","https://openalex.org/W2163097033","https://openalex.org/W3097030804","https://openalex.org/W1534000007","https://openalex.org/W2108004998","https://openalex.org/W4240683824","https://openalex.org/W3211035526","https://openalex.org/W1978365419","https://openalex.org/W2120893400"],"abstract_inverted_index":{"Virtual":[0],"dimensionality":[1],"(VD)":[2],"was":[3,57],"originally":[4],"developed":[5],"for":[6,29,112],"estimating":[7],"the":[8,21,26,43,62,84,89],"number":[9],"of":[10,20],"spectrally":[11],"distinct":[12],"signatures":[13],"present":[14],"in":[15],"hyperspectral":[16,71],"data.":[17],"The":[18,45],"effectiveness":[19],"VD":[22,30],"is":[23,47],"determined":[24],"by":[25,61,70,75],"technique":[27,40,87],"used":[28],"estimation.":[31],"This":[32],"paper":[33],"develops":[34],"an":[35,81],"orthogonal":[36],"subspace":[37,64,73],"projection":[38],"(OSP)":[39],"to":[41,97],"estimate":[42,65],"VD.":[44],"idea":[46,56],"derived":[48],"from":[49],"linear":[50],"spectral":[51],"mixture":[52],"analysis.":[53,114],"A":[54],"similar":[55],"also":[58],"previously":[59],"investigated":[60],"signal":[63,72],"(SSE)":[66],"and":[67,105],"later":[68],"improved":[69],"identification":[74],"minimum":[76],"error":[77],"(HySime).":[78],"Interestingly,":[79],"with":[80],"appropriate":[82],"interpretation":[83],"proposed":[85],"OSP":[86],"includes":[88],"SSE/HySime":[90],"as":[91],"its":[92,99],"special":[93],"case.":[94],"In":[95],"order":[96],"demonstrate":[98],"utility":[100],"experiments":[101],"using":[102],"synthetic":[103],"images":[104],"real":[106],"image":[107],"data":[108],"sets":[109],"are":[110],"conducted":[111],"performance":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}