{"id":"https://openalex.org/W4311653106","doi":"https://doi.org/10.3233/jcm-226604","title":"Design of remote sensing image feature extraction method based on high score 2 wavelet transform","display_name":"Design of remote sensing image feature extraction method based on high score 2 wavelet transform","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4311653106","doi":"https://doi.org/10.3233/jcm-226604"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-226604","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-226604","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","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/A5071714201","display_name":"Huijun Xiao","orcid":"https://orcid.org/0000-0001-7536-7526"},"institutions":[{"id":"https://openalex.org/I24407930","display_name":"Hunan University of Science and Engineering","ror":"https://ror.org/04ymz0q33","country_code":"CN","type":"education","lineage":["https://openalex.org/I24407930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huijun Xiao","raw_affiliation_strings":["School of Tourism and Cultural Industry, Hunan University of Science and Engineering, Yongzhou, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Tourism and Cultural Industry, Hunan University of Science and Engineering, Yongzhou, Hunan, China","institution_ids":["https://openalex.org/I24407930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051643619","display_name":"Ensong Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I24407930","display_name":"Hunan University of Science and Engineering","ror":"https://ror.org/04ymz0q33","country_code":"CN","type":"education","lineage":["https://openalex.org/I24407930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ensong Jiang","raw_affiliation_strings":["School of Information Engineering, Hunan University of Science and Engineering, Yongzhou, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Hunan University of Science and Engineering, Yongzhou, Hunan, China","institution_ids":["https://openalex.org/I24407930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046991348","display_name":"Guangliang Xi","orcid":"https://orcid.org/0000-0002-3448-4547"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangliang Xi","raw_affiliation_strings":["School of Architecture and Urban planning, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Architecture and Urban planning, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071714201"],"corresponding_institution_ids":["https://openalex.org/I24407930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20255551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":"2","first_page":"589","last_page":"603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9966999888420105,"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":0.9962999820709229,"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/computer-science","display_name":"Computer science","score":0.6296226978302002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5574731230735779},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5438388586044312},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5028090476989746},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49502867460250854},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4847847819328308},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4723430871963501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4718979299068451},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46744000911712646},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.4429760277271271},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.43662816286087036},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3161022663116455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2729526162147522},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1941901445388794}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6296226978302002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5574731230735779},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5438388586044312},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5028090476989746},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49502867460250854},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4847847819328308},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4723430871963501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4718979299068451},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46744000911712646},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.4429760277271271},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.43662816286087036},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3161022663116455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2729526162147522},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1941901445388794},{"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:10.3233/jcm-226604","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-226604","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2988716599","https://openalex.org/W3026482544","https://openalex.org/W3129593039","https://openalex.org/W3142105539","https://openalex.org/W3207228948","https://openalex.org/W4200586929","https://openalex.org/W4220763088"],"related_works":["https://openalex.org/W2391959412","https://openalex.org/W2126100045","https://openalex.org/W2942471066","https://openalex.org/W2185970706","https://openalex.org/W2546942002","https://openalex.org/W2974852952","https://openalex.org/W2088158554","https://openalex.org/W2154250574","https://openalex.org/W3003836766","https://openalex.org/W3197541072"],"abstract_inverted_index":{"The":[0,38,114,150,177],"feature":[1,27,169,240,268],"extraction":[2,14,28,170,269],"of":[3,45,56,71,81,112,144,153,171,189,197,201,237,271],"Gaofen-2":[4,46],"Remote":[5],"Sensing":[6],"Image":[7],"(RSI)":[8],"has":[9,208,245,256],"problems":[10],"such":[11],"as":[12,90],"poor":[13],"accuracy":[15,235,270],"and":[16,48,67,98,108,140,162,260,273],"large":[17],"noise":[18,107,185,193,276],"reduction":[19,186,194],"error.":[20],"Therefore,":[21,248],"this":[22,206,254],"paper":[23,207],"designs":[24],"an":[25],"RSI":[26,39,94,134,155,184,200,272],"method":[29,203,255,263],"based":[30],"on":[31],"high":[32,146,173],"score":[33,147,174],"2":[34,148,175],"wavelet":[35],"transform":[36],"(WT).":[37],"is":[40,119,166,213,227],"collected":[41],"with":[42,126,219],"the":[43,53,57,62,68,72,77,82,86,93,110,124,127,133,137,142,145,154,159,163,172,183,192,198,202,209,220,225,230,234,242,261,267,275],"help":[44],"satellite":[47],"high-resolution":[49],"remote":[50],"sensing":[51],"technology,":[52],"key":[54,69,238],"points":[55,70,131],"image":[58,106,138,164],"are":[59,74,102,156],"determined":[60,157],"through":[61],"Gaussian":[63],"difference":[64,83],"scale":[65],"space,":[66,135],"edge":[73,87],"judged":[75],"by":[76,158],"peak":[78],"curvature":[79],"value":[80],"function":[84],"at":[85],"junction,":[88],"so":[89],"to":[91,104,121],"complete":[92,136],"acquisition.":[95],"Specific":[96],"filtering":[97],"spatial":[99],"domain":[100],"transformations":[101],"used":[103,120],"remove":[105],"improve":[109,266],"quality":[111],"RSI.":[113,149,176,278],"mean":[115],"shift":[116],"(MS)":[117],"algorithm":[118],"iteratively":[122],"find":[123],"area":[125],"most":[128],"dense":[129],"sample":[130,199],"in":[132,182,205,233,277],"analysis,":[139],"realize":[141],"preprocessing":[143],"linear":[151],"features":[152],"WT":[160],"algorithm,":[161],"threshold":[165],"set":[167],"for":[168],"experimental":[178],"results":[179],"show":[180],"that":[181,253],"error":[187,195,226],"analysis":[188,236],"different":[190],"methods,":[191],"curve":[196],"proposed":[204,223,243,262],"lowest":[210],"trend,":[211],"which":[212],"always":[214],"lower":[215],"than":[216],"2%.":[217],"Compared":[218],"two":[221],"methods":[222],"before,":[224],"higher.":[228],"At":[229],"same":[231],"time,":[232],"point":[239],"extraction,":[241],"scheme":[244],"better":[246,257],"accuracy.":[247],"it":[249],"can":[250,264],"be":[251],"seen":[252],"comprehensive":[258],"performance,":[259],"effectively":[265],"reduce":[274]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}