乐胖代购免代理版

{"id":"https://openalex.org/W2122010147","doi":"https://doi.org/10.1109/lgrs.2008.2003180","title":"Anomaly-Based JPEG2000 Compression of Hyperspectral Imagery","display_name":"Anomaly-Based JPEG2000 Compression of Hyperspectral Imagery","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2122010147","doi":"https://doi.org/10.1109/lgrs.2008.2003180","mag":"2122010147"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2008.2003180","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/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":["Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS"],"affiliations":[{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101931356","display_name":"Wei Zhu","orcid":"https://orcid.org/0000-0002-5154-0889"},"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":"Wei Zhu","raw_affiliation_strings":["Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS"],"affiliations":[{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS","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":["Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS"],"affiliations":[{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS","institution_ids":["https://openalex.org/I99041443"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.925,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":31,"citation_normalized_percentile":{"value":0.954093,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":"5","issue":"4","first_page":"696","last_page":"700"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Hyperspectral Image Analysis and Classification","score":0.9996,"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":"Hyperspectral Image Analysis and Classification","score":0.9996,"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 Denoising Techniques and Algorithms","score":0.9981,"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/T11659","display_name":"Multispectral and Hyperspectral Image Fusion","score":0.9977,"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/lossy-compression","display_name":"Lossy compression","score":0.87065595},{"id":"https://openalex.org/keywords/decorrelation","display_name":"Decorrelation","score":0.76443875},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image Denoising","score":0.561088},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral Imaging","score":0.560334},{"id":"https://openalex.org/keywords/spectral-unmixing","display_name":"Spectral Unmixing","score":0.545895},{"id":"https://openalex.org/keywords/image-analysis","display_name":"Image Analysis","score":0.53211},{"id":"https://openalex.org/keywords/hyperspectral","display_name":"Hyperspectral","score":0.531097},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.51820093}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.87065595},{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.76443875},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6959438},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.69041884},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6079035},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.58371603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5712185},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.53274137},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.51820093},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5097596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5025027},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.46924782},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32874703},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23139262},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22947517},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1725615},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15812051}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2008.2003180","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6,"id":"https://metadata.un.org/sdg/11"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W1546366002","https://openalex.org/W2047870694","https://openalex.org/W2102940409","https://openalex.org/W2116160602","https://openalex.org/W2123038108","https://openalex.org/W2127308700","https://openalex.org/W2142458747","https://openalex.org/W2142552707","https://openalex.org/W2155920043","https://openalex.org/W2158548804","https://openalex.org/W2469305493"],"related_works":["https://openalex.org/W4327499886","https://openalex.org/W4294006383","https://openalex.org/W3210332869","https://openalex.org/W3202870363","https://openalex.org/W2380116549","https://openalex.org/W2115343698","https://openalex.org/W2096442341","https://openalex.org/W2070505606","https://openalex.org/W2013943429","https://openalex.org/W1680283075"],"abstract_inverted_index":{"Lossy":[0],"compression":[1,25,58],"of":[2,13,100],"hyperspectral":[3],"imagery":[4],"is":[5,36],"considered,":[6],"with":[7,28],"special":[8],"emphasis":[9],"on":[10],"the":[11,17,70,77,83,97,101],"preservation":[12],"anomalous":[14,20,50,71],"pixels.":[15,33],"In":[16],"proposed":[18,84],"scheme,":[19],"pixels":[21,51,72],"are":[22,60,73],"extracted":[23],"before":[24],"and":[26,59],"replaced":[27],"interpolation":[29],"from":[30],"surrounding":[31],"nonanomalous":[32],"The":[34,49],"image":[35],"then":[37],"coded":[38],"using":[39],"principal":[40],"component":[41],"analysis":[42],"for":[43],"spectral":[44],"decorrelation":[45],"followed":[46],"by":[47],"JPEG2000.":[48],"do":[52],"not":[53,87],"participate":[54],"in":[55,64],"this":[56],"lossy":[57],"rather":[61],"transmitted":[62],"separately":[63],"a":[65],"lossless":[66],"fashion.":[67],"Upon":[68],"decoding,":[69],"inserted":[74],"back":[75],"into":[76],"image.":[78],"Experimental":[79],"results":[80],"demonstrate":[81],"that":[82],"scheme":[85],"improves":[86],"only":[88],"anomaly":[89],"detection":[90],"performed":[91],"subsequent":[92],"to":[93],"decoding":[94],"but":[95],"also":[96],"rate-distortion":[98],"performance":[99],"lossy-compression":[102],"process.":[103]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2122010147","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2024-12-03T14:15:09.618147","created_date":"2016-06-24"}