{"id":"https://openalex.org/W2023471811","doi":"https://doi.org/10.1109/icip.2014.7025137","title":"Compressive pushbroom and whiskbroom sensing for hyperspectral remote-sensing imaging","display_name":"Compressive pushbroom and whiskbroom sensing for hyperspectral remote-sensing imaging","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2023471811","doi":"https://doi.org/10.1109/icip.2014.7025137","mag":"2023471811"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/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":true,"raw_author_name":"James E. Fowler","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, USA","Department of Electrical and Computer Engineering, Geosystems Research Institute, Mississippi State University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Geosystems Research Institute, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078795882"],"corresponding_institution_ids":["https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":4.828,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.94853666,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"684","last_page":"688"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9933000206947327,"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/T11996","display_name":"Random lasers and scattering media","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9611368179321289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7296068668365479},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7070423364639282},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6481829881668091},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6047409176826477},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5978133678436279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5918635129928589},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.4423918128013611},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.250674843788147}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9611368179321289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296068668365479},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7070423364639282},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6481829881668091},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6047409176826477},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5978133678436279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5918635129928589},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.4423918128013611},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.250674843788147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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":31,"referenced_works":["https://openalex.org/W1527126115","https://openalex.org/W1991799212","https://openalex.org/W1997164347","https://openalex.org/W2002498099","https://openalex.org/W2011813002","https://openalex.org/W2022470997","https://openalex.org/W2027953636","https://openalex.org/W2034442194","https://openalex.org/W2043441451","https://openalex.org/W2049189005","https://openalex.org/W2062747674","https://openalex.org/W2074561958","https://openalex.org/W2079319869","https://openalex.org/W2084591647","https://openalex.org/W2103115408","https://openalex.org/W2104453356","https://openalex.org/W2106993026","https://openalex.org/W2120961178","https://openalex.org/W2122548617","https://openalex.org/W2126131432","https://openalex.org/W2133775995","https://openalex.org/W2149631607","https://openalex.org/W2151974894","https://openalex.org/W2312997001","https://openalex.org/W2485576679","https://openalex.org/W2537887767","https://openalex.org/W2620300926","https://openalex.org/W2622630662","https://openalex.org/W3102018825","https://openalex.org/W6678689058","https://openalex.org/W6738998801"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W2911259277","https://openalex.org/W2800956885","https://openalex.org/W4250051149","https://openalex.org/W4386427838","https://openalex.org/W2083270190","https://openalex.org/W2533019003","https://openalex.org/W2626158795","https://openalex.org/W2057283258","https://openalex.org/W1788560349"],"abstract_inverted_index":{"Most":[0],"existing":[1],"architectures":[2,89],"for":[3,92],"the":[4,27,32,39,42,70,82,93,100,115],"compressive":[5,94],"acquisition":[6,18,95],"of":[7,31,96,102],"hyperspectral":[8,45,97],"imagery":[9,46],"-":[10,19,61,68],"which":[11,25,60],"perform":[12],"dimensionality":[13],"reduction":[14],"simultaneously":[15],"with":[16,53],"image":[17,33],"have":[20],"focused":[21],"on":[22],"framing":[23],"designs":[24],"require":[26],"entire":[28],"spatial":[29],"extent":[30],"be":[34],"available":[35],"at":[36],"once":[37],"to":[38,80,109],"sensor.":[40],"On":[41],"other":[43],"hand,":[44],"in":[47,73,107],"remote-sensing":[48],"applications":[49],"is":[50,118],"frequently":[51],"acquired":[52],"a":[54,111],"pushbroom":[55,85],"or":[56,64,76],"whiskbroom":[57,87],"sensing":[58,78,88],"paradigm":[59],"incorporating":[62],"line-based":[63],"pixel-based":[65],"scanning,":[66],"respectively":[67],"exploits":[69],"motion":[71],"inherent":[72],"an":[74],"airborne":[75],"satellite-borne":[77],"platform":[79],"acquire":[81],"image.":[83],"Such":[84],"and":[86],"are":[90],"proposed":[91],"imagery.":[98],"Additionally,":[99],"necessity":[101],"employing":[103],"multiple":[104],"sensor":[105],"arrays":[106],"order":[108],"sense":[110],"broad":[112],"spectrum,":[113],"including":[114],"infrared":[116],"regime,":[117],"considered.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
