{"id":"https://openalex.org/W2547269352","doi":"https://doi.org/10.1109/igarss.2016.7730340","title":"Hadamard-Walsh random projection for hyperspectral image classification","display_name":"Hadamard-Walsh random projection for hyperspectral image classification","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2547269352","doi":"https://doi.org/10.1109/igarss.2016.7730340","mag":"2547269352"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7730340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5087934737","display_name":"Vineetha Menon","orcid":"https://orcid.org/0000-0001-6916-5346"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vineetha Menon","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078795882","display_name":"James E. Fowler","orcid":"https://orcid.org/0000-0003-2005-405X"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James E. Fowler","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":1.6371,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87591323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"5141","last_page":"5144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9817000031471252,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9764000177383423,"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":0.8859170079231262},{"id":"https://openalex.org/keywords/hadamard-transform","display_name":"Hadamard transform","score":0.7964319586753845},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7254822850227356},{"id":"https://openalex.org/keywords/random-projection","display_name":"Random projection","score":0.7090686559677124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6182014346122742},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5919683575630188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5892709493637085},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5732580423355103},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5579591393470764},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5091173052787781},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46144503355026245},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4438683092594147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32599228620529175},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23531410098075867}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8859170079231262},{"id":"https://openalex.org/C60292330","wikidata":"https://www.wikidata.org/wiki/Q1014065","display_name":"Hadamard transform","level":2,"score":0.7964319586753845},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7254822850227356},{"id":"https://openalex.org/C2777036070","wikidata":"https://www.wikidata.org/wiki/Q18393452","display_name":"Random projection","level":2,"score":0.7090686559677124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6182014346122742},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5919683575630188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5892709493637085},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5732580423355103},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5579591393470764},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5091173052787781},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46144503355026245},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4438683092594147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32599228620529175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23531410098075867},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7730340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1506281249","https://openalex.org/W1980738513","https://openalex.org/W2008089719","https://openalex.org/W2043441451","https://openalex.org/W2093813380","https://openalex.org/W2098057602","https://openalex.org/W2104269704","https://openalex.org/W2109531142","https://openalex.org/W2109565719","https://openalex.org/W2119543432","https://openalex.org/W2124659530","https://openalex.org/W2151974894","https://openalex.org/W2164330327","https://openalex.org/W2293136015","https://openalex.org/W4205687621","https://openalex.org/W4292023222"],"related_works":["https://openalex.org/W2132083814","https://openalex.org/W2292979300","https://openalex.org/W2515532094","https://openalex.org/W2790862734","https://openalex.org/W1995622179","https://openalex.org/W4391160746","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W345943785"],"abstract_inverted_index":{"The":[0,67],"rich":[1],"spectral":[2,107],"information":[3,62,108],"in":[4,23,39,94],"hyperspectral":[5,24,113],"imagery":[6,25],"gives":[7],"rise":[8],"to":[9,18,47,87],"huge":[10],"storage":[11],"and":[12,63,106],"transmission":[13],"costs.":[14,66],"Dimensionality":[15],"reduction":[16,41],"aims":[17],"reduce":[19],"the":[20,58,110],"space":[21],"complexity":[22],"by":[26,43],"projecting":[27],"data":[28],"into":[29],"a":[30,70,75,97],"low-dimensional":[31],"subspace.":[32],"There":[33],"has":[34],"been":[35],"an":[36],"increasing":[37],"interest":[38],"dimensionality":[40],"driven":[42],"random":[44,71,89],"projections":[45],"due":[46],"its":[48],"data-independent":[49],"representation":[50],"as":[51,53,57],"well":[52],"desirable":[54],"qualities":[55],"such":[56],"preservation":[59],"of":[60,69,112],"important":[61],"low":[64],"computational":[65],"performance":[68,85],"projection":[72],"derived":[73],"from":[74],"Hadamard-Walsh":[76],"matrix":[77],"is":[78],"investigated,":[79],"with":[80,96],"experimental":[81],"results":[82],"demonstrating":[83],"classification":[84,111],"superior":[86],"other":[88],"dimensionality-reduction":[90],"methods":[91],"when":[92],"deployed":[93],"conjunction":[95],"composite-kernel":[98],"support":[99],"vector":[100],"machine":[101],"that":[102],"exploits":[103],"both":[104],"spatial":[105],"for":[109],"imagery.":[114]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
