{"id":"https://openalex.org/W2053615857","doi":"https://doi.org/10.1109/tgrs.2014.2358615","title":"Intrinsic Image Decomposition for Feature Extraction of Hyperspectral Images","display_name":"Intrinsic Image Decomposition for Feature Extraction of Hyperspectral Images","publication_year":2014,"publication_date":"2014-10-02","ids":{"openalex":"https://openalex.org/W2053615857","doi":"https://doi.org/10.1109/tgrs.2014.2358615","mag":"2053615857"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2014.2358615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2014.2358615","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5057514965","display_name":"Xudong Kang","orcid":"https://orcid.org/0000-0002-3807-2531"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Kang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, , China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, , China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065061505","display_name":"Leyuan Fang","orcid":"https://orcid.org/0000-0003-2351-4461"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leyuan Fang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, , China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035508615","display_name":"J\u00f3n Atli Benediktsson","orcid":"https://orcid.org/0000-0003-0621-9647"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"Jon Atli Benediktsson","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland","[Fac. of Electr. & Comput. Eng., Univ. of Iceland, Reykjavik, Iceland]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland","institution_ids":["https://openalex.org/I165368041"]},{"raw_affiliation_string":"[Fac. of Electr. & Comput. Eng., Univ. of Iceland, Reykjavik, Iceland]","institution_ids":["https://openalex.org/I165368041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.6175,"has_fulltext":false,"cited_by_count":166,"citation_normalized_percentile":{"value":0.99351314,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"53","issue":"4","first_page":"2241","last_page":"2253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9979000091552734,"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":0.9959999918937683,"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":0.8950835466384888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7800105810165405},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7436081171035767},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7000432014465332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5769833326339722},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47942250967025757},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47888749837875366},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.470242440700531},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4660438597202301},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4461374282836914},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4454508423805237},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41939643025398254},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39522650837898254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3700704574584961}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8950835466384888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7800105810165405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7436081171035767},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7000432014465332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5769833326339722},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47942250967025757},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47888749837875366},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.470242440700531},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4660438597202301},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4461374282836914},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4454508423805237},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41939643025398254},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39522650837898254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3700704574584961},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2014.2358615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2014.2358615","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5972623913","display_name":"\u9762\u5411\u56fe\u50cf\u8bc6\u522b\u7684\u7a00\u758f\u8868\u793a\u53ca\u5176\u5e94\u7528\u7814\u7a76","funder_award_id":"61172161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322874","display_name":"Universit\u00e0 degli Studi di Pavia","ror":"https://ror.org/00s6t1f81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1513676084","https://openalex.org/W1974981350","https://openalex.org/W1982762150","https://openalex.org/W1997565609","https://openalex.org/W2001298023","https://openalex.org/W2002193550","https://openalex.org/W2002849025","https://openalex.org/W2005106632","https://openalex.org/W2016819955","https://openalex.org/W2016860790","https://openalex.org/W2018482939","https://openalex.org/W2019338222","https://openalex.org/W2020586934","https://openalex.org/W2027560260","https://openalex.org/W2040648638","https://openalex.org/W2043116665","https://openalex.org/W2045095960","https://openalex.org/W2046373373","https://openalex.org/W2059049651","https://openalex.org/W2059089906","https://openalex.org/W2064604707","https://openalex.org/W2064886835","https://openalex.org/W2069412682","https://openalex.org/W2078361974","https://openalex.org/W2083983285","https://openalex.org/W2087257250","https://openalex.org/W2098057602","https://openalex.org/W2100975942","https://openalex.org/W2101365302","https://openalex.org/W2102236241","https://openalex.org/W2103094532","https://openalex.org/W2104269704","https://openalex.org/W2105386417","https://openalex.org/W2106777458","https://openalex.org/W2107030918","https://openalex.org/W2107966405","https://openalex.org/W2108597246","https://openalex.org/W2113404166","https://openalex.org/W2114819256","https://openalex.org/W2116919352","https://openalex.org/W2121169814","https://openalex.org/W2126796976","https://openalex.org/W2131697388","https://openalex.org/W2131864940","https://openalex.org/W2136251662","https://openalex.org/W2144151128","https://openalex.org/W2144438956","https://openalex.org/W2145035344","https://openalex.org/W2147323005","https://openalex.org/W2149471024","https://openalex.org/W2151288205","https://openalex.org/W2151599207","https://openalex.org/W2153635508","https://openalex.org/W2158400785","https://openalex.org/W2159070926","https://openalex.org/W2164437025","https://openalex.org/W2164769329","https://openalex.org/W2166229804","https://openalex.org/W2166502676","https://openalex.org/W2166923144","https://openalex.org/W2168609725","https://openalex.org/W2970930881"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W4317486777","https://openalex.org/W4389669152","https://openalex.org/W2038514069","https://openalex.org/W1967233468","https://openalex.org/W2009181529"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3],"novel":[4],"feature":[5,96,132],"extraction":[6,97,133],"method":[7,22],"based":[8],"on":[9,77],"intrinsic":[10],"image":[11,18,35,40,46],"decomposition":[12],"(IID)":[13],"is":[14,36,47,74,104,119,126],"proposed":[15,21,95],"for":[16,131],"hyperspectral":[17,34,135],"classification.":[19],"The":[20],"consists":[23],"of":[24,32,52,61,86,116,134],"the":[25,29,33,43,56,78,83,94,99,114],"following":[26],"steps.":[27],"First,":[28],"spectral":[30],"dimension":[31,44],"reduced":[37,45],"with":[38,66,93],"averaging-based":[39],"fusion.":[41],"Then,":[42],"partitioned":[48],"into":[49],"several":[50],"subsets":[51],"adjacent":[53],"bands.":[54],"Next,":[55],"reflectance":[57,79],"and":[58],"shading":[59],"components":[60],"each":[62],"subset":[63],"are":[64],"estimated":[65],"an":[67,128],"optimization-based":[68],"IID":[69,125],"technique.":[70],"Finally,":[71],"pixel-wise":[72],"classification":[73,110],"performed":[75],"only":[76],"components,":[80],"which":[81],"reflect":[82],"material-dependent":[84],"properties":[85],"different":[87],"objects.":[88],"Experimental":[89],"results":[90],"show":[91],"that,":[92],"method,":[98],"support":[100],"vector":[101],"machine":[102],"classifier":[103],"able":[105],"to":[106],"obtain":[107],"much":[108],"higher":[109],"accuracy":[111],"even":[112],"when":[113],"number":[115],"training":[117],"samples":[118],"quite":[120],"small.":[121],"This":[122],"demonstrates":[123],"that":[124],"indeed":[127],"effective":[129],"way":[130],"images.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":22},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}