{"id":"https://openalex.org/W4386996312","doi":"https://doi.org/10.3390/rs15194676","title":"GF-2 Data for Lithological Classification Using Texture Features and PCA/ICA Methods in Jixi, Heilongjiang, China","display_name":"GF-2 Data for Lithological Classification Using Texture Features and PCA/ICA Methods in Jixi, Heilongjiang, China","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4386996312","doi":"https://doi.org/10.3390/rs15194676"},"language":"en","primary_location":{"id":"doi:10.3390/rs15194676","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15194676","pdf_url":"https://www.mdpi.com/2072-4292/15/19/4676/pdf?version=1695541391","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/19/4676/pdf?version=1695541391","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101854117","display_name":"Tianyi Chen","orcid":"https://orcid.org/0009-0008-5813-6417"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyi Chen","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China"],"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034462511","display_name":"Changbao Yang","orcid":"https://orcid.org/0000-0003-4793-4874"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changbao Yang","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China"],"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086673970","display_name":"Liguo Han","orcid":"https://orcid.org/0000-0003-4840-8091"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liguo Han","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China"],"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006556754","display_name":"Senmiao Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Senmiao Guo","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China"],"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034462511"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.5245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71715722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"19","first_page":"4676","last_page":"4676"},"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":0.9991000294685364,"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":0.9771000146865845,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.7311627864837646},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6016600728034973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5831372737884521},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5540114641189575},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5459151268005371},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5429021120071411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45656830072402954},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38816747069358826},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.25303834676742554},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18299341201782227}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7311627864837646},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6016600728034973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5831372737884521},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5540114641189575},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5459151268005371},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5429021120071411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45656830072402954},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38816747069358826},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.25303834676742554},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18299341201782227}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs15194676","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15194676","pdf_url":"https://www.mdpi.com/2072-4292/15/19/4676/pdf?version=1695541391","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:677f61aa2e52439c9aed7dddfaf820fb","is_oa":true,"landing_page_url":"https://doaj.org/article/677f61aa2e52439c9aed7dddfaf820fb","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 19, p 4676 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs15194676","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15194676","pdf_url":"https://www.mdpi.com/2072-4292/15/19/4676/pdf?version=1695541391","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386996312.pdf"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1967412740","https://openalex.org/W1979061792","https://openalex.org/W1991856864","https://openalex.org/W2003691420","https://openalex.org/W2022014145","https://openalex.org/W2026233481","https://openalex.org/W2027442956","https://openalex.org/W2028542827","https://openalex.org/W2033253499","https://openalex.org/W2039085527","https://openalex.org/W2044465660","https://openalex.org/W2045875127","https://openalex.org/W2055261909","https://openalex.org/W2063907334","https://openalex.org/W2068394350","https://openalex.org/W2082140503","https://openalex.org/W2095445096","https://openalex.org/W2109205984","https://openalex.org/W2109733148","https://openalex.org/W2115451699","https://openalex.org/W2117395697","https://openalex.org/W2120587770","https://openalex.org/W2125027853","https://openalex.org/W2140103896","https://openalex.org/W2149224850","https://openalex.org/W2155799428","https://openalex.org/W2302241271","https://openalex.org/W2497703895","https://openalex.org/W2530966209","https://openalex.org/W2582144242","https://openalex.org/W2725171488","https://openalex.org/W2735212787","https://openalex.org/W2740311783","https://openalex.org/W2772578558","https://openalex.org/W2789817813","https://openalex.org/W2792378859","https://openalex.org/W2805059354","https://openalex.org/W2805627121","https://openalex.org/W2810838438","https://openalex.org/W2811483141","https://openalex.org/W2883746869","https://openalex.org/W2884036810","https://openalex.org/W2900544280","https://openalex.org/W2908511652","https://openalex.org/W2921108718","https://openalex.org/W2949528887","https://openalex.org/W2981176263","https://openalex.org/W2981927612","https://openalex.org/W3000355009","https://openalex.org/W3007961486","https://openalex.org/W3039274199","https://openalex.org/W3108131447","https://openalex.org/W3123303244","https://openalex.org/W3162658016","https://openalex.org/W3163456103","https://openalex.org/W3164882424","https://openalex.org/W3203370130","https://openalex.org/W3208943037","https://openalex.org/W3216055177","https://openalex.org/W4213113494","https://openalex.org/W4283009311","https://openalex.org/W4308100956","https://openalex.org/W4309460612","https://openalex.org/W4379053905","https://openalex.org/W4381546993","https://openalex.org/W4386127704","https://openalex.org/W6801921023"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W385273440","https://openalex.org/W1542592062"],"abstract_inverted_index":{"Lithological":[0],"classification":[1,54,76,102,197,207,273],"is":[2,46,77,117,193,211],"a":[3,35,64,223,290],"pivotal":[4],"aspect":[5],"in":[6,19,67,225,286,318],"the":[7,38,59,98,106,113,126,137,146,153,158,162,186,190,242,247,280,294],"field":[8,13],"of":[9,43,61,100,128,148,155,172,218,282,297,300],"geology,":[10],"and":[11,17,31,55,87,136,157,235,245,250,266,307],"traditional":[12],"surveys":[14],"are":[15],"inefficient":[16],"challenging":[18],"certain":[20],"areas.":[21],"Remote":[22],"sensing":[23,50,83,284],"technology":[24,51,285],"offers":[25],"advantages":[26],"such":[27],"as":[28,72],"high":[29],"efficiency":[30],"wide":[32],"coverage,":[33],"providing":[34],"solution":[36],"to":[37,47,57,177,180,213,222,240],"aforementioned":[39],"issues.":[40],"The":[41,260],"aim":[42],"this":[44,123,228,277,319],"study":[45,65,124,229,278],"apply":[48],"remote":[49,82,283],"for":[52,119,195,202,257,315],"lithological":[53,75,101,149,258,287],"attempt":[56],"enhance":[58],"accuracy":[60,99,116,147,170],"classification.":[62,150,259],"Taking":[63],"area":[66],"Jixi,":[68],"Heilongjiang":[69],"Province,":[70],"China,":[71],"an":[73,168],"example,":[74],"conducted":[78],"using":[79,103,181],"high-resolution":[80],"satellite":[81],"data":[84,89,131,244,256,270],"from":[85,175],"GF-2":[86,130,156,183,243],"texture":[88,134,255,269,303],"based":[90],"on":[91,292],"gray-level":[92],"co-occurrence":[93],"matrix":[94],"(GLCM).":[95],"By":[96],"comparing":[97],"different":[104,133,254,298],"methods,":[105],"support":[107],"vector":[108],"machine":[109],"(SVM)":[110],"method":[111],"with":[112,132,167,253,268,289],"highest":[114],"overall":[115,169],"selected":[118],"further":[120,271],"investigation.":[121],"Subsequently,":[122],"compares":[125],"effects":[127],"combining":[129,141,264],"data,":[135,302,304,306],"results":[138,261],"indicate":[139],"that":[140,215,263],"textures":[142,201,219],"can":[143,204],"effectively":[144,205],"improve":[145,206],"In":[151,185,275],"particular,":[152],"combination":[154,188,203],"Dissimilarity":[159],"index":[160,192],"performs":[161],"best":[163],"among":[164],"single-texture":[165],"combinations,":[166],"improvement":[171],"7.8630%":[173],"(increasing":[174],"74.6681%":[176],"82.5311%)":[178],"compared":[179],"only":[182],"data.":[184,309],"multi-texture":[187],"dataset,":[189],"Mean":[191],"crucial":[194],"enhancing":[196],"accuracy.":[198,226,274],"Selecting":[199],"appropriate":[200],"accuracy,":[208],"but":[209],"it":[210],"important":[212],"note":[214],"excessive":[216],"overlaying":[217],"may":[220],"lead":[221],"decrease":[224],"Furthermore,":[227],"employs":[230],"principal":[231],"component":[232,237],"analysis":[233,238],"(PCA)":[234],"independent":[236],"(ICA)":[239],"process":[241],"combines":[246],"resulting":[248],"PCA":[249,265,305],"ICA":[251,267,308],"datasets":[252],"demonstrate":[262],"enhances":[272],"conclusion,":[276],"demonstrates":[279],"application":[281,295],"classification,":[288],"focus":[291],"exploring":[293],"value":[296],"combinations":[299],"multispectral":[301],"These":[310],"findings":[311],"provide":[312],"valuable":[313],"insights":[314],"future":[316],"research":[317],"field.":[320]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-30T23:08:21.542490","created_date":"2025-10-10T00:00:00"}
