{"id":"https://openalex.org/W2147326945","doi":"https://doi.org/10.1109/cvprw.2009.5204126","title":"An affine Invariant hyperspectral texture descriptor based upon heavy-tailed distributions and fourier analysis","display_name":"An affine Invariant hyperspectral texture descriptor based upon heavy-tailed distributions and fourier analysis","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2147326945","doi":"https://doi.org/10.1109/cvprw.2009.5204126","mag":"2147326945"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2009.5204126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204126","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/An_affine_Invariant_hyperspectral_texture_descriptor_based_upon_heavy-tailed_distributions_and_fourier_analysis/26967331","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031220121","display_name":"Pattaraporn Khuwuthyakorn","orcid":"https://orcid.org/0009-0003-4993-949X"},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pattaraporn Khuwuthyakorn","raw_affiliation_strings":["Sandia National Laboratories"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010621788","display_name":"Antonio Robles\u2010Kelly","orcid":"https://orcid.org/0000-0002-2465-5971"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Antonio Robles-Kelly","raw_affiliation_strings":["National ICT Australia (NICTA), Canberra, ACT, Australia","RSISE, Bldg. 115, Australian National University, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"National ICT Australia (NICTA), Canberra, ACT, Australia","institution_ids":["https://openalex.org/I42894916"]},{"raw_affiliation_string":"RSISE, Bldg. 115, Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100781212","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-5822-8233"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["National ICT Australia (NICTA), Canberra, ACT, Australia","RSISE, Bldg. 115, Australian National University, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"National ICT Australia (NICTA), Canberra, ACT, Australia","institution_ids":["https://openalex.org/I42894916"]},{"raw_affiliation_string":"RSISE, Bldg. 115, Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031220121"],"corresponding_institution_ids":["https://openalex.org/I4210104735"],"apc_list":null,"apc_paid":null,"fwci":3.1906,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.92239468,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"119"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9977999925613403,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9908999800682068,"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":0.7618564963340759},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.7259507775306702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6036530137062073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5497236847877502},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5381961464881897},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5198503136634827},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5155389308929443},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.48949921131134033},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4854641556739807},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4570382833480835},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.44040417671203613},{"id":"https://openalex.org/keywords/bidirectional-texture-function","display_name":"Bidirectional texture function","score":0.4243411719799042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3684825003147125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3447413146495819},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2017090916633606},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19570666551589966},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.15205806493759155},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15145957469940186},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14430999755859375}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7618564963340759},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.7259507775306702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6036530137062073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5497236847877502},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5381961464881897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5198503136634827},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5155389308929443},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.48949921131134033},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4854641556739807},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4570382833480835},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.44040417671203613},{"id":"https://openalex.org/C165164221","wikidata":"https://www.wikidata.org/wiki/Q261078","display_name":"Bidirectional texture function","level":5,"score":0.4243411719799042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3684825003147125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3447413146495819},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2017090916633606},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19570666551589966},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.15205806493759155},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15145957469940186},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14430999755859375},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/cvprw.2009.5204126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204126","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.188.4896","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.188.4896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.rsise.anu.edu.au/%7Earobkell/papers/otcbvs09.pdf","raw_type":"text"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30125267","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/26967331","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/An_affine_Invariant_hyperspectral_texture_descriptor_based_upon_heavy-tailed_distributions_and_fourier_analysis/26967331","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/51693","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/51693","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/26967331","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/An_affine_Invariant_hyperspectral_texture_descriptor_based_upon_heavy-tailed_distributions_and_fourier_analysis/26967331","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G611870384","display_name":null,"funder_award_id":"grant","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G6194240451","display_name":"National ICT Australia","funder_award_id":"NICTA","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1916685473","https://openalex.org/W1972541957","https://openalex.org/W2005215483","https://openalex.org/W2019055161","https://openalex.org/W2044407170","https://openalex.org/W2069231830","https://openalex.org/W2096355125","https://openalex.org/W2096630620","https://openalex.org/W2098347925","https://openalex.org/W2109704123","https://openalex.org/W2124769190","https://openalex.org/W2127541232","https://openalex.org/W2129195682","https://openalex.org/W2139916508","https://openalex.org/W2143267365","https://openalex.org/W2151103935","https://openalex.org/W2294116008","https://openalex.org/W2912155302","https://openalex.org/W6676253935","https://openalex.org/W6681126143","https://openalex.org/W6697602193"],"related_works":["https://openalex.org/W2003873690","https://openalex.org/W2106557809","https://openalex.org/W2048978945","https://openalex.org/W2359713774","https://openalex.org/W4249485354","https://openalex.org/W2099933086","https://openalex.org/W1590543164","https://openalex.org/W1997812454","https://openalex.org/W2093957690","https://openalex.org/W2098067468"],"abstract_inverted_index":{"In":[0,52],"this":[1,15,53,95],"paper,":[2],"we":[3,55],"address":[4],"the":[5,18,23,26,43,58,62,79,85,98,105,110,117,133,139,142,147],"problem":[6],"of":[7,42,61,84,88,119,149,154,173],"recovering":[8,97],"a":[9,32,66,120,125,171],"hyperspectral":[10,143],"texture":[11,24,64,80,111],"descriptor.":[12],"We":[13,93,145,162],"do":[14,94],"by":[16,96,170],"viewing":[17],"wavelength-indexed":[19],"bands":[20],"corresponding":[21,103],"to":[22,74,104,167],"in":[25,141],"image":[27],"as":[28,65],"those":[29,168],"arising":[30],"from":[31],"stochastic":[33],"process":[34],"whose":[35],"statistics":[36],"can":[37,56,70,131],"be":[38,71],"captured":[39],"making":[40,82],"use":[41,83],"relationships":[44],"between":[45],"moment":[46],"generating":[47],"functions":[48],"and":[49,130,135,156],"Fourier":[50,90],"kernels.":[51],"manner,":[54],"interpret":[57],"probability":[59,106],"distribution":[60],"hyper-spectral":[63],"heavy-tailed":[67],"one":[68],"which":[69,123],"rendered":[72],"invariant":[73],"affine":[75,99],"geometric":[76,100],"transformations":[77],"on":[78,159],"plane":[81],"spectral":[86],"power":[87],"its":[89],"cosine":[91],"transform.":[92],"distortion":[101],"matrices":[102],"density":[107],"function":[108],"for":[109,138,152],"under":[112],"study.":[113],"This":[114],"treatment":[115],"permits":[116],"development":[118],"robust":[121],"descriptor":[122,151],"has":[124],"high":[126],"information":[127],"compaction":[128],"property":[129],"capture":[132],"space":[134],"wavelength":[136],"correlation":[137],"spectra":[140],"images.":[144],"illustrate":[146],"utility":[148],"our":[150,165],"purposes":[153],"recognition":[155],"provide":[157],"results":[158,166],"real-world":[160],"datasets.":[161],"also":[163],"compare":[164],"yielded":[169],"number":[172],"alternatives.":[174]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
