{"id":"https://openalex.org/W2331319323","doi":"https://doi.org/10.1109/jstars.2015.2489207","title":"Quantitative Detection of Settled Dust Over Green Canopy Using Sparse Unmixing of Airborne Hyperspectral Data","display_name":"Quantitative Detection of Settled Dust Over Green Canopy Using Sparse Unmixing of Airborne Hyperspectral Data","publication_year":2015,"publication_date":"2015-10-30","ids":{"openalex":"https://openalex.org/W2331319323","doi":"https://doi.org/10.1109/jstars.2015.2489207","mag":"2331319323"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2015.2489207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2489207","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5050831226","display_name":"Anna Brook","orcid":"https://orcid.org/0000-0002-3205-6581"},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Anna Brook","raw_affiliation_strings":["Remote Sensing Laboratory, Center for Spatial Analysis Research (UHCSISR), Department of Social Sciences, University of Haifa, Mount Carmel, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Laboratory, Center for Spatial Analysis Research (UHCSISR), Department of Social Sciences, University of Haifa, Mount Carmel, Israel","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090081227","display_name":"Eyal Ben Dor","orcid":"https://orcid.org/0000-0001-6757-3530"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Eyal Ben Dor","raw_affiliation_strings":["Remote Sensing Laboratory, Department of Geography and Human Environment, Tel-Aviv University, Ramat Aviv, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Laboratory, Department of Geography and Human Environment, Tel-Aviv University, Ramat Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":4.2088,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.94950868,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":"2","first_page":"884","last_page":"897"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9984999895095825,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9511362314224243},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8084776401519775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5521565079689026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4963300824165344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.489062637090683},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.47732359170913696},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.3319406509399414},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10834270715713501},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07318279147148132}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9511362314224243},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8084776401519775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5521565079689026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4963300824165344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.489062637090683},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.47732359170913696},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.3319406509399414},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10834270715713501},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07318279147148132},{"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2015.2489207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2489207","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W5896900","https://openalex.org/W65725463","https://openalex.org/W1480072255","https://openalex.org/W1592773346","https://openalex.org/W1606445564","https://openalex.org/W1854992794","https://openalex.org/W1902027874","https://openalex.org/W1964570608","https://openalex.org/W1966798775","https://openalex.org/W1976391658","https://openalex.org/W1977084785","https://openalex.org/W1984935011","https://openalex.org/W1993335267","https://openalex.org/W1994726448","https://openalex.org/W2004453229","https://openalex.org/W2004594443","https://openalex.org/W2005353255","https://openalex.org/W2009576740","https://openalex.org/W2010797000","https://openalex.org/W2012749606","https://openalex.org/W2018798426","https://openalex.org/W2022022267","https://openalex.org/W2025907697","https://openalex.org/W2026034143","https://openalex.org/W2027878671","https://openalex.org/W2031831298","https://openalex.org/W2032944446","https://openalex.org/W2040617212","https://openalex.org/W2042626896","https://openalex.org/W2043637170","https://openalex.org/W2045714915","https://openalex.org/W2046828512","https://openalex.org/W2051358843","https://openalex.org/W2056857971","https://openalex.org/W2059120621","https://openalex.org/W2064329052","https://openalex.org/W2066805440","https://openalex.org/W2070781258","https://openalex.org/W2087263574","https://openalex.org/W2095584857","https://openalex.org/W2097777682","https://openalex.org/W2097915756","https://openalex.org/W2099129687","https://openalex.org/W2106822272","https://openalex.org/W2108119513","https://openalex.org/W2110096996","https://openalex.org/W2118718620","https://openalex.org/W2119792302","https://openalex.org/W2121989068","https://openalex.org/W2125298866","https://openalex.org/W2135029798","https://openalex.org/W2140691710","https://openalex.org/W2144460512","https://openalex.org/W2157321686","https://openalex.org/W2162625104","https://openalex.org/W2163886442","https://openalex.org/W2331319323","https://openalex.org/W2901065930","https://openalex.org/W4233760599","https://openalex.org/W6600245942","https://openalex.org/W6602721557","https://openalex.org/W6635458766","https://openalex.org/W6665125450","https://openalex.org/W6677759377","https://openalex.org/W6680012447"],"related_works":["https://openalex.org/W4308269461","https://openalex.org/W4281395053","https://openalex.org/W2020769413","https://openalex.org/W2766940489","https://openalex.org/W2385371209","https://openalex.org/W2754199428","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568","https://openalex.org/W2127243424"],"abstract_inverted_index":{"The":[0,164,177],"main":[1],"task":[2],"of":[3,14,68,80,111,182],"environmental":[4],"and":[5,10,17,48,90,158],"geoscience":[6],"applications":[7],"is":[8,166],"efficient":[9],"accurate":[11,37],"quantitative":[12,38],"classification":[13],"earth":[15],"surfaces":[16],"spatial":[18],"phenomena.":[19],"In":[20],"the":[21,46,65,78,103,109],"past":[22],"decade,":[23],"there":[24],"has":[25],"been":[26],"a":[27,60],"significant":[28],"interest":[29],"in":[30,41,71],"employing":[31],"hyperspectral":[32,42,69,99,170],"unmixing":[33,66,82,185],"(HU)":[34],"to":[35,88],"retrieve":[36],"information":[39],"latent":[40],"imagery":[43,70,171],"data.":[44,101],"Recently,":[45],"ground-truth":[47],"laboratory":[49],"measured":[50],"spectral":[51],"signatures":[52],"promoted":[53],"by":[54],"advanced":[55],"algorithms":[56],"are":[57],"proposed":[58],"as":[59],"new":[61],"path":[62],"toward":[63],"solving":[64],"problem":[67],"semisupervised":[72],"fashion.":[73],"This":[74],"paper":[75],"suggests":[76],"that":[77],"sensitivity":[79],"sparse":[81,151],"techniques":[83],"provides":[84],"an":[85],"ideal":[86],"approach":[87],"extract":[89],"identify":[91],"dust":[92],"settled":[93],"over/upon":[94],"green":[95],"vegetation":[96],"canopy":[97],"using":[98],"airborne":[100],"Among":[102],"available":[104],"techniques,":[105],"this":[106],"study":[107],"presents":[108],"results":[110,178],"seven":[112],"selected":[113,183],"algorithms:":[114],"1)":[115],"non-negative":[116],"matrix":[117],"factorization":[118],"(NMF);":[119],"2)":[120],"L":[121,133],"<sub":[122,128,134,140],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[123,129,135,141],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[124],"sparsity-constrained":[125,137],"NMF":[126,138,147,152],"(L":[127,139],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1_</sub>":[130],"NMF);":[131],"3)":[132],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1/2</sub>":[136,142],"_NMF);":[143],"4)":[144],"graph":[145],"regularized":[146],"(G_NMF);":[148],"5)":[149],"structured":[150],"(SS_NMF);":[153],"6)":[154],"alternating":[155],"least-square":[156],"(ALS);":[157],"7)":[159],"Lin's":[160],"projected":[161],"gradient":[162],"(LPG).":[163],"performance":[165],"evaluated":[167],"on":[168],"real":[169],"data":[172],"via":[173],"detailed":[174],"experimental":[175],"assessment.":[176],"compared":[179],"with":[180],"performances":[181],"conventional":[184],"techniques.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}