{"id":"https://openalex.org/W3130495235","doi":"https://doi.org/10.1109/igarss39084.2020.9323146","title":"Hyperstring Construction of Sub-Pixel Detectors","display_name":"Hyperstring Construction of Sub-Pixel Detectors","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3130495235","doi":"https://doi.org/10.1109/igarss39084.2020.9323146","mag":"3130495235"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","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/A5038348450","display_name":"A. Schaum","orcid":null},"institutions":[{"id":"https://openalex.org/I4399598358","display_name":"United States Navy","ror":"https://ror.org/03cs53d16","country_code":null,"type":"funder","lineage":["https://openalex.org/I1330347796","https://openalex.org/I3130687028","https://openalex.org/I4399598358"]},{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alan Schaum","raw_affiliation_strings":["U.S. Naval Research Laboratory"],"affiliations":[{"raw_affiliation_string":"U.S. Naval Research Laboratory","institution_ids":["https://openalex.org/I1288214837","https://openalex.org/I4399598358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5038348450"],"corresponding_institution_ids":["https://openalex.org/I1288214837","https://openalex.org/I4399598358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32288596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3951","last_page":"3954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976000189781189,"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":0.9976000189781189,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.847829282283783},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.80296790599823},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7484964728355408},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.7392674684524536},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.6714293360710144},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.5546266436576843},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5540803074836731},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5213600397109985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5007028579711914},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4406777620315552},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.4278934597969055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3958512544631958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3426806628704071},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3302857577800751},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.230825275182724},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.17870229482650757},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13494470715522766},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0783548653125763}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.847829282283783},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.80296790599823},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7484964728355408},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.7392674684524536},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.6714293360710144},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.5546266436576843},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5540803074836731},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5213600397109985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5007028579711914},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4406777620315552},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.4278934597969055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3958512544631958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3426806628704071},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3302857577800751},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.230825275182724},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.17870229482650757},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13494470715522766},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0783548653125763},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2045799381","https://openalex.org/W2107820823","https://openalex.org/W2328610639","https://openalex.org/W2544754986","https://openalex.org/W2800463836","https://openalex.org/W2964064133","https://openalex.org/W3130487823"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440"],"abstract_inverted_index":{"A":[0],"mathematical":[1],"methodology":[2],"is":[3,36],"described":[4],"that":[5],"aims":[6],"to":[7,12,40,48],"find":[8],"closed-form":[9],"approximate":[10],"solutions":[11],"a":[13],"generalized":[14],"class":[15],"of":[16,31,51],"sub-pixel":[17,53],"hyperspectral":[18],"detection":[19],"problems.":[20],"Algorithms":[21],"represented":[22],"as":[23],"high-dimensional":[24],"surfaces":[25,46],"are":[26],"approximated":[27],"by":[28,38],"assembling":[29],"hyperstrings":[30],"one-fewer":[32],"dimension.":[33],"The":[34],"procedure":[35],"completed":[37],"adjoining":[39],"the":[41,52],"hyperstring":[42],"construct":[43],"clairvoyant":[44],"detector":[45],"corresponding":[47],"limiting":[49],"values":[50],"mixing":[54],"fraction.":[55]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}