{"id":"https://openalex.org/W2016002519","doi":"https://doi.org/10.1145/1980022.1980228","title":"Reduction and estimation of hyperspectral imagery using dual tree wavelet filter bank analysis with an orthogonal subspace projection approach","display_name":"Reduction and estimation of hyperspectral imagery using dual tree wavelet filter bank analysis with an orthogonal subspace projection approach","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2016002519","doi":"https://doi.org/10.1145/1980022.1980228","mag":"2016002519"},"language":"en","primary_location":{"id":"doi:10.1145/1980022.1980228","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1980022.1980228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11","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/A5041782108","display_name":"Shanti Swamy","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S. Swamy","raw_affiliation_strings":["Ramtek, India"],"affiliations":[{"raw_affiliation_string":"Ramtek, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024972011","display_name":"Bhavin Patel","orcid":"https://orcid.org/0000-0002-0961-3132"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B. Patel","raw_affiliation_strings":["KITS Ramtek, India"],"affiliations":[{"raw_affiliation_string":"KITS Ramtek, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041782108"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12849393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"959","last_page":"959"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9993000030517578,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9970999956130981,"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":0.8606477975845337},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7888609766960144},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7400354743003845},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6946907639503479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6512340307235718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6134030222892761},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6132915019989014},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5743481516838074},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5570921897888184},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5443969368934631},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5316199660301208},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5013456344604492},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4807186424732208},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.4667036533355713},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.46121323108673096},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4506242573261261},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33258575201034546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1785992681980133}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8606477975845337},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7888609766960144},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7400354743003845},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6946907639503479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6512340307235718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6134030222892761},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6132915019989014},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5743481516838074},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5570921897888184},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5443969368934631},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5316199660301208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5013456344604492},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4807186424732208},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.4667036533355713},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.46121323108673096},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4506242573261261},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33258575201034546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1785992681980133},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1980022.1980228","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1980022.1980228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11","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":10,"referenced_works":["https://openalex.org/W817971873","https://openalex.org/W2007502829","https://openalex.org/W2060108923","https://openalex.org/W2099260598","https://openalex.org/W2111975408","https://openalex.org/W2116380212","https://openalex.org/W2117741752","https://openalex.org/W2130392392","https://openalex.org/W2147712562","https://openalex.org/W2160815441"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4318664220","https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W2988577871","https://openalex.org/W1987483041","https://openalex.org/W2292979300","https://openalex.org/W2137369096"],"abstract_inverted_index":{"Hyperspectral":[0],"imagery":[1],"provides":[2],"richer":[3],"information":[4],"about":[5],"materials":[6],"than":[7],"multispectral":[8],"imagery.":[9],"The":[10],"new":[11],"larger":[12],"data":[13,39],"volumes":[14],"from":[15],"hyperspectral":[16],"sensors":[17],"present":[18],"a":[19],"challenge":[20],"for":[21,35,53],"traditional":[22],"processing":[23],"techniques.":[24],"Principal":[25],"component":[26],"analysis":[27],"(PCA)":[28],"has":[29],"been":[30],"the":[31],"technique":[32],"of":[33],"choice":[34],"dimension":[36],"reduction.":[37],"Spectral":[38],"reduction":[40],"and":[41],"estimation":[42],"using":[43],"wavelet":[44],"filter":[45],"bank":[46],"with":[47],"perfect":[48],"reconstruction":[49],"can":[50],"be":[51],"considered":[52],"better":[54],"results.":[55]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}