{"id":"https://openalex.org/W2765853920","doi":"https://doi.org/10.1109/whispers.2016.8071709","title":"Total carbon mapping with hyperspectral unmixing techniques","display_name":"Total carbon mapping with hyperspectral unmixing techniques","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2765853920","doi":"https://doi.org/10.1109/whispers.2016.8071709","mag":"2765853920"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2016.8071709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5036219290","display_name":"Hilal Soydan","orcid":"https://orcid.org/0000-0001-9877-2356"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hilal Soydan","raw_affiliation_strings":["Department of Mining Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Mining Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022615000","display_name":"Alper Koz","orcid":"https://orcid.org/0000-0001-8749-8646"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alper Koz","raw_affiliation_strings":["Center for Image Analysis (OGAM)"],"affiliations":[{"raw_affiliation_string":"Center for Image Analysis (OGAM)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042611950","display_name":"\u015eebnem D\u00fczg\u00fcn","orcid":"https://orcid.org/0000-0001-7013-9241"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"H. Sebnem Duzgun","raw_affiliation_strings":["Orta Dogu Teknik Universitesi, Ankara, Ankara, TR"],"affiliations":[{"raw_affiliation_string":"Orta Dogu Teknik Universitesi, Ankara, Ankara, TR","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070112256","display_name":"A. Ayd\u0131n Alatan","orcid":"https://orcid.org/0000-0001-5556-7301"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"A. Aydin Alatan","raw_affiliation_strings":["Center for Image Analysis (OGAM)","Department of Electrical & Electronics Engineering, Middle East Technical University Balgat, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Center for Image Analysis (OGAM)","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical & Electronics Engineering, Middle East Technical University Balgat, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036219290"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34399595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":"Advanced Image Fusion Techniques","score":0.98580002784729,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.911548376083374},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.7706031799316406},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7323879599571228},{"id":"https://openalex.org/keywords/ground-sample-distance","display_name":"Ground sample distance","score":0.6945450901985168},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6744086742401123},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6390271186828613},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6143531203269958},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5797038674354553},{"id":"https://openalex.org/keywords/soil-carbon","display_name":"Soil carbon","score":0.4857907295227051},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4665496051311493},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.4610641896724701},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.41643738746643066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3043063282966614},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.2637617886066437},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17416417598724365},{"id":"https://openalex.org/keywords/soil-water","display_name":"Soil water","score":0.16970154643058777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1375226080417633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10595422983169556},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.07760187983512878}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.911548376083374},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.7706031799316406},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7323879599571228},{"id":"https://openalex.org/C197513456","wikidata":"https://www.wikidata.org/wiki/Q5610972","display_name":"Ground sample distance","level":3,"score":0.6945450901985168},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6744086742401123},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6390271186828613},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6143531203269958},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5797038674354553},{"id":"https://openalex.org/C39464130","wikidata":"https://www.wikidata.org/wiki/Q7554898","display_name":"Soil carbon","level":3,"score":0.4857907295227051},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4665496051311493},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.4610641896724701},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.41643738746643066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3043063282966614},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.2637617886066437},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17416417598724365},{"id":"https://openalex.org/C159750122","wikidata":"https://www.wikidata.org/wiki/Q96621023","display_name":"Soil water","level":2,"score":0.16970154643058777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1375226080417633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10595422983169556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.07760187983512878},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/whispers.2016.8071709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/52657","is_oa":false,"landing_page_url":"https://hdl.handle.net/11511/52657","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W109191800","https://openalex.org/W2006977237","https://openalex.org/W2011174222","https://openalex.org/W2094946297","https://openalex.org/W2114486983","https://openalex.org/W2143548129","https://openalex.org/W2154406439","https://openalex.org/W2157321686","https://openalex.org/W2196579671","https://openalex.org/W2315470792","https://openalex.org/W6683195452","https://openalex.org/W6687584342","https://openalex.org/W7033936210"],"related_works":["https://openalex.org/W4386963248","https://openalex.org/W2044611239","https://openalex.org/W2067747434","https://openalex.org/W2594556946","https://openalex.org/W1982418987","https://openalex.org/W3175692690","https://openalex.org/W2889956472","https://openalex.org/W2118486652","https://openalex.org/W2038546898","https://openalex.org/W1581650174"],"abstract_inverted_index":{"Depending":[0],"on":[1,116],"the":[2,23,27,31,38,48,65,111,139,148,178,201,209],"ground":[3,174,202],"sampling":[4],"distance":[5],"of":[6,12,22,26,40,51,70,153,180,211],"a":[7,10,13,20,41,194],"remote":[8],"sensor,":[9],"pixel":[11,39],"spectral":[14,49],"data":[15,42,109],"cube":[16,43],"is":[17,89,114,127],"represented":[18],"as":[19,173],"combination":[21],"reflected":[24],"signals":[25],"materials":[28],"which":[29,170,205],"constitutes":[30],"observed":[32],"pixel.":[33],"Hyperspectral":[34],"unmixing":[35,94,181],"algorithms":[36],"model":[37],"to":[44,80,134,138,165,176,192],"determine":[45],"and":[46,67,84,129,200],"extract":[47],"signatures":[50],"its":[52],"components,":[53],"namely":[54],"endmembers,":[55],"with":[56,73,92,119,160,197],"their":[57],"corresponding":[58],"abundance":[59,185],"fractions.":[60],"This":[61],"study":[62,112],"first":[63],"reviews":[64],"interaction":[66],"mitigation":[68],"mechanisms":[69],"heavy":[71],"metals":[72],"carbon":[74,99,168,188,213],"content":[75,189],"in":[76,151],"soil,":[77],"specifically":[78],"due":[79],"coal":[81,104],"mining":[82],"activities":[83],"thermal":[85],"plants.":[86],"Such":[87],"mechanism":[88],"then":[90],"investigated":[91],"hyperspectral":[93],"techniques":[95],"by":[96],"producing":[97],"total":[98,167],"maps":[100,186],"for":[101,110,132,187],"an":[102],"abandoned":[103],"mine":[105],"site.":[106],"The":[107,124,141,156,183],"utilized":[108],"area":[113],"obtained":[115],"August":[117],"2013":[118],"multispectral":[120],"Worldview-2":[121],"satellite":[122],"sensor.":[123],"acquired":[125],"image":[126],"orthorectified":[128],"atmospherically":[130],"corrected":[131],"radiance":[133],"reflectance":[135],"conversion":[136],"prior":[137],"analysis.":[140],"soil":[142,154],"samples":[143,157],"are":[144,158,171,190],"mainly":[145],"collected":[146],"from":[147],"problematic":[149],"regions":[150,210],"terms":[152],"pollution.":[155],"analyzed":[159],"LECO":[161],"TrueSpec":[162],"CHN_S":[163],"device":[164],"measure":[166],"levels,":[169],"employed":[172],"truth":[175,203],"assess":[177],"performance":[179],"algorithms.":[182],"resulting":[184],"found":[191],"have":[193],"high":[195,212],"compatibility":[196],"each":[198],"other":[199],"data,":[204],"effectively":[206],"point":[207],"out":[208],"content.":[214]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}