{"id":"https://openalex.org/W2110210986","doi":"https://doi.org/10.1109/whispers.2010.5594944","title":"Using spatial correspondences for hyperspectral knowledge transfer: Evaluation on synthetic data","display_name":"Using spatial correspondences for hyperspectral knowledge transfer: Evaluation on synthetic data","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2110210986","doi":"https://doi.org/10.1109/whispers.2010.5594944","mag":"2110210986"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2010.5594944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2010.5594944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","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/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 D. Bue","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","Dept. of Electrical and Computer Eng., Rice University, Houston, TX 77005, U.S.A"],"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 Electrical and Computer Eng., Rice University, Houston, TX 77005, U.S.A","institution_ids":[]}]},{"author_position":"last","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":"Erzsebet Merenyi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","Dept. of Electrical and Computer Eng., Rice University, Houston, TX 77005, U.S.A"],"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 Electrical and Computer Eng., Rice University, Houston, TX 77005, U.S.A","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061307853"],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":2.1444,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89311572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"6960","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":0.9991000294685364,"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":0.9991000294685364,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9858999848365784,"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"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9577999711036682,"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":0.9334147572517395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7498421669006348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6989498734474182},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6159206628799438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.579218864440918},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5579135417938232},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5303277373313904},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.48663100600242615}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9334147572517395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7498421669006348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6989498734474182},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6159206628799438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.579218864440918},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5579135417938232},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5303277373313904},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.48663100600242615},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/whispers.2010.5594944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2010.5594944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.387.3778","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.387.3778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.713.65","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.713.65","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/whispers_syn_bbue.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1906831040","https://openalex.org/W1966566070","https://openalex.org/W1974517317","https://openalex.org/W1984775121","https://openalex.org/W1991011355","https://openalex.org/W2009539575","https://openalex.org/W2039609561","https://openalex.org/W2070615500","https://openalex.org/W2114154403","https://openalex.org/W2119019914","https://openalex.org/W2134810912","https://openalex.org/W2137900926","https://openalex.org/W6667758686"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W2027108423","https://openalex.org/W1855666948","https://openalex.org/W2758561209","https://openalex.org/W1548095260","https://openalex.org/W2781711915","https://openalex.org/W2112817590","https://openalex.org/W1555291398"],"abstract_inverted_index":{"We":[0,93],"describe":[1],"a":[2,11,21,36,53],"proof":[3],"of":[4,29,38,99],"concept":[5],"for":[6],"class":[7],"knowledge":[8],"transfer":[9],"from":[10,64],"labeled":[12,43],"hyperspectral":[13,103],"image":[14,45,79],"to":[15,61,67,75],"an":[16],"unlabeled":[17,48],"image,":[18,50],"captured":[19],"with":[20],"different":[22],"(hyper-/multi-spectral)":[23],"sensor,":[24],"when":[25],"the":[26,30,42,47,56,65,68,77,81,90,95,100],"spatial":[27],"extents":[28],"images":[31,57],"partially":[32],"overlap.":[33],"By":[34],"defining":[35,86],"set":[37],"spatio-spectral":[39],"correspondences":[40],"between":[41,55],"source":[44,66,82],"and":[46],"target":[49,69,78,91],"we":[51,58],"create":[52],"mapping":[54,72],"can":[59],"use":[60],"propagate":[62],"labels":[63,83,88],"image.":[70,92],"This":[71],"allows":[73],"us":[74],"classify":[76],"using":[80,97],"without":[84],"manually":[85],"training":[87],"in":[89],"evaluate":[94],"technique":[96],"state":[98],"art":[101],"synthetic":[102],"imagery.":[104]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
