{"id":"https://openalex.org/W1974183402","doi":"https://doi.org/10.1109/igarss.2014.6947085","title":"The identification of altered rock in vegetation-covered area using hyperspectral remote sensing","display_name":"The identification of altered rock in vegetation-covered area using hyperspectral remote sensing","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1974183402","doi":"https://doi.org/10.1109/igarss.2014.6947085","mag":"1974183402"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6947085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6947085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 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/A5102844283","display_name":"Qingting Li","orcid":"https://orcid.org/0000-0002-6322-8307"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingting Li","raw_affiliation_strings":["Institute of Remote sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing, 100094, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing, 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389708","display_name":"Bing Zhang","orcid":"https://orcid.org/0000-0003-0319-7753"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zhang","raw_affiliation_strings":["Institute of Remote sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing, 100094, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing, 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066378186","display_name":"Lianru Gao","orcid":"https://orcid.org/0000-0003-3888-8124"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianru Gao","raw_affiliation_strings":["Institute of Remote sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing, 100094, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing, 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056415424","display_name":"Linlin Lu","orcid":"https://orcid.org/0000-0003-1647-1950"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Lu","raw_affiliation_strings":["Institute of Remote sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing, 100094, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing, 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009182769","display_name":"Quanjun Jiao","orcid":"https://orcid.org/0000-0002-0129-9513"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanjun Jiao","raw_affiliation_strings":["Institute of Remote sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing, 100094, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing, 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102844283"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.05498819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"2910","last_page":"2913"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9998999834060669,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9993000030517578,"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":0.9805999994277954,"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":0.8217028379440308},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.6899967193603516},{"id":"https://openalex.org/keywords/arid","display_name":"Arid","score":0.584796667098999},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5753834247589111},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.5657387971878052}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8217028379440308},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.6899967193603516},{"id":"https://openalex.org/C150772632","wikidata":"https://www.wikidata.org/wiki/Q1330709","display_name":"Arid","level":2,"score":0.584796667098999},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5753834247589111},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5657387971878052},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2014.6947085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6947085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1656378962","https://openalex.org/W1964315230","https://openalex.org/W1967412740","https://openalex.org/W2000514872","https://openalex.org/W2010319424","https://openalex.org/W2021455849","https://openalex.org/W2086218632","https://openalex.org/W2096972831","https://openalex.org/W2136954203","https://openalex.org/W2144158572","https://openalex.org/W2149921367","https://openalex.org/W2282872213","https://openalex.org/W2356705293","https://openalex.org/W2390262017","https://openalex.org/W2506684654","https://openalex.org/W2545554564","https://openalex.org/W6695767026"],"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/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568"],"abstract_inverted_index":{"Imaging":[0],"spectroscopic":[1,70],"technique":[2,67],"has":[3],"been":[4],"used":[5,26],"for":[6,189],"the":[7,37,40,44,47,55,76,88,96,115,124,127,130,134,140,155,183,194],"mineral":[8],"and":[9,13,29,52,148,181],"rock":[10,137],"geological":[11,80,117,190],"mapping":[12],"alteration":[14],"information":[15],"extraction":[16,77],"successfully":[17],"with":[18,32,154],"many":[19],"reasonable":[20,180],"results,":[21],"but":[22],"it":[23],"is":[24,50,58],"mainly":[25],"in":[27,101,144,193],"arid":[28],"semi-arid":[30],"land":[31],"sparse":[33],"vegetation":[34,42,84,143],"covering.":[35],"In":[36,87],"case":[38],"of":[39,46,78,126,129,142,157,185],"dense":[41,83],"covering,":[43],"outcrop":[45],"altered":[48,56,136],"rocks":[49,57],"small":[51,79,116,135],"distributes":[53],"sparsely,":[54],"difficult":[59],"to":[60,75,114],"be":[61,73],"identified":[62],"directly.":[63],"The":[64,176],"target":[65,108,118,186,191],"detection":[66,109,119,177,187,192],"using":[68,150],"imaging":[69,151],"data":[71,153],"should":[72],"introduced":[74,121],"targets":[81,138],"under":[82,139],"covering":[85,141],"area.":[86,196],"paper,":[89],"we":[90],"take":[91],"Ding-Ma":[92],"gold":[93],"deposit":[94],"as":[95],"study":[97,125],"area":[98],"which":[99,111],"located":[100],"Zhenan":[102],"country,":[103],"Shanxi":[104],"province,":[105],"China.":[106],"Some":[107],"algorithms":[110,188],"are":[112,120,146,179],"appropriate":[113],"based":[122],"on":[123],"principle":[128],"algorithms.":[131],"At":[132],"last,":[133],"forest":[145,195],"detected":[147],"discriminated":[149],"spectroscopy":[152],"methods":[156],"spectral":[158],"angle":[159],"map(SAM),":[160],"Orthogonal":[161],"Subspace":[162],"Projection(OSP),":[163],"Constrained":[164],"Energy":[165],"Minimization(CEM),":[166],"Adaptive":[167,170],"Coherence/Cosine":[168],"Estimator(ACE),":[169],"Matched":[171],"Filter(AMF),":[172],"Elliptically":[173],"Contoured":[174],"Distributions(ECD).":[175],"results":[178],"indicate":[182],"ability":[184]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
