{"id":"https://openalex.org/W3126760591","doi":"https://doi.org/10.1109/tim.2020.3038557","title":"Feature Extraction via Joint Adaptive Structure Density for Hyperspectral Imagery Classification","display_name":"Feature Extraction via Joint Adaptive Structure Density for Hyperspectral Imagery Classification","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3126760591","doi":"https://doi.org/10.1109/tim.2020.3038557","mag":"3126760591"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2020.3038557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3038557","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","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/A5037075182","display_name":"Bing Tu","orcid":"https://orcid.org/0000-0001-5802-9496"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bing Tu","raw_affiliation_strings":["School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang, China"],"raw_orcid":"https://orcid.org/0000-0001-5802-9496","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012200895","display_name":"Chengle Zhou","orcid":"https://orcid.org/0000-0003-3107-5446"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengle Zhou","raw_affiliation_strings":["School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3107-5446","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101485543","display_name":"Peng Jin","orcid":"https://orcid.org/0000-0002-7615-8483"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Peng","raw_affiliation_strings":["School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang, China"],"raw_orcid":"https://orcid.org/0000-0002-7615-8483","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042231008","display_name":"Guoyun Zhang","orcid":"https://orcid.org/0000-0002-1034-2114"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyun Zhang","raw_affiliation_strings":["School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang, China"],"raw_orcid":"https://orcid.org/0000-0002-1034-2114","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031368188","display_name":"Yishu Peng","orcid":"https://orcid.org/0000-0003-3942-978X"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yishu Peng","raw_affiliation_strings":["School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3942-978X","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037075182"],"corresponding_institution_ids":["https://openalex.org/I100286613"],"apc_list":null,"apc_paid":null,"fwci":3.4119,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.92899549,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9919999837875366,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9653000235557556,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7428529262542725},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7261707782745361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7249343395233154},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6882891654968262},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6487139463424683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5830146074295044},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5097231268882751},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4981091022491455},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.46468260884284973},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4442068636417389},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33699148893356323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3229570984840393}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7428529262542725},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7261707782745361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7249343395233154},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6882891654968262},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6487139463424683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5830146074295044},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5097231268882751},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4981091022491455},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.46468260884284973},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4442068636417389},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33699148893356323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3229570984840393},{"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:10.1109/tim.2020.3038557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3038557","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1245566906","display_name":null,"funder_award_id":"61977022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2957530749","display_name":null,"funder_award_id":"CX20201140","funder_id":"https://openalex.org/F4320326217","funder_display_name":"Hunan Provincial Innovation Foundation for Postgraduate"},{"id":"https://openalex.org/G5511718194","display_name":null,"funder_award_id":"2019JJ50212","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G6274596752","display_name":null,"funder_award_id":"2020JJ4340","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G7537714680","display_name":null,"funder_award_id":"2019JJ50211","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G7593677749","display_name":null,"funder_award_id":"2020JJ4343","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320326217","display_name":"Hunan Provincial Innovation Foundation for Postgraduate","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W238260150","https://openalex.org/W1664859298","https://openalex.org/W1680189815","https://openalex.org/W1939429412","https://openalex.org/W1972679354","https://openalex.org/W1972814520","https://openalex.org/W1979503164","https://openalex.org/W1989070508","https://openalex.org/W1994348192","https://openalex.org/W2013251902","https://openalex.org/W2015679947","https://openalex.org/W2018482939","https://openalex.org/W2026131661","https://openalex.org/W2038590919","https://openalex.org/W2039409148","https://openalex.org/W2049444988","https://openalex.org/W2057513844","https://openalex.org/W2059217921","https://openalex.org/W2064886835","https://openalex.org/W2085529604","https://openalex.org/W2092869901","https://openalex.org/W2097915756","https://openalex.org/W2100740156","https://openalex.org/W2103094532","https://openalex.org/W2108597246","https://openalex.org/W2118246710","https://openalex.org/W2118463106","https://openalex.org/W2124834959","https://openalex.org/W2129812935","https://openalex.org/W2136251662","https://openalex.org/W2144151128","https://openalex.org/W2148936814","https://openalex.org/W2149471024","https://openalex.org/W2151194815","https://openalex.org/W2151288205","https://openalex.org/W2153635508","https://openalex.org/W2153747028","https://openalex.org/W2154506590","https://openalex.org/W2154636369","https://openalex.org/W2155359044","https://openalex.org/W2156932943","https://openalex.org/W2160662337","https://openalex.org/W2164437025","https://openalex.org/W2165835468","https://openalex.org/W2166163522","https://openalex.org/W2166923144","https://openalex.org/W2271716409","https://openalex.org/W2282640221","https://openalex.org/W2291033752","https://openalex.org/W2309104505","https://openalex.org/W2586793539","https://openalex.org/W2595902385","https://openalex.org/W2608092940","https://openalex.org/W2730158902","https://openalex.org/W2740976805","https://openalex.org/W2743618639","https://openalex.org/W2754507318","https://openalex.org/W2763731268","https://openalex.org/W2768241383","https://openalex.org/W2768309288","https://openalex.org/W2793607269","https://openalex.org/W2810874828","https://openalex.org/W2887785636","https://openalex.org/W2888119354","https://openalex.org/W2890945279","https://openalex.org/W2892246676","https://openalex.org/W2909479956","https://openalex.org/W2946747211","https://openalex.org/W2999421733","https://openalex.org/W2999789528","https://openalex.org/W3032490824","https://openalex.org/W3100364246","https://openalex.org/W4247811648","https://openalex.org/W6609166994"],"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/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W4313014865","https://openalex.org/W2019190440"],"abstract_inverted_index":{"Feature":[0],"extraction":[1,31],"is":[2,116,156,183,218,245],"known":[3],"to":[4,98,118,123,129,161,185,190,224,247],"be":[5],"an":[6],"effective":[7],"way":[8],"in":[9,17,76,82,94,127,179,252],"both":[10],"reducing":[11],"computational":[12,258],"complexity":[13],"and":[14,51,89,138,170,200,257],"increasing":[15],"accuracy":[16,256],"hyperspectral":[18,216],"imagery":[19],"(HSI)":[20],"classification.":[21],"In":[22],"this":[23],"article,":[24],"we":[25],"propose":[26],"a":[27,95,111],"novel":[28],"HSI":[29,122,169,189,236],"feature":[30,47,49,57,205,217],"based":[32,208],"on":[33,209,231],"joint":[34],"adaptive":[35],"structure":[36,56,73,204],"density":[37,150],"(JASD),":[38],"which":[39],"can":[40],"make":[41],"full":[42],"use":[43],"of":[44,48,58,106,133,143,167,254],"the":[45,54,62,72,77,86,92,99,107,119,131,140,144,148,163,168,172,180,186,196,201,210,214,221,226,241],"texture":[46],"level":[50],"effectively":[52],"utilize":[53],"spatial":[55,165,203],"pixel":[59],"level.":[60],"Specifically,":[61],"proposed":[63,145,242],"JASD":[64,103,243],"method":[65,104,115,244],"considers":[66],"two":[67],"weak":[68,174],"assumptions":[69],"when":[70],"exploiting":[71],"information":[74,166],"contained":[75],"HSI:":[78],"1)":[79],"close":[80],"pixels":[81,93,134],"spectral":[83],"space":[84],"have":[85],"same":[87,100],"label":[88],"2)":[90],"all":[91],"subregion":[96],"belong":[97],"class.":[101],"The":[102],"consists":[105],"following":[108],"steps.":[109],"First,":[110],"principal":[112],"component":[113],"analysis":[114],"applied":[117,184],"original":[120],"high-dimensional":[121],"obtain":[124,225],"low-dimensional":[125,188],"features":[126],"order":[128],"promote":[130],"separability":[132],"between":[135],"different":[136],"classes":[137],"improve":[139],"execution":[141],"efficiency":[142],"method.":[146,212],"Then,":[147],"local":[149,202],"peak-assisted":[151],"$k$":[152],"nearest":[153],"neighbor":[154],"idea":[155],"introduced":[157],"into":[158,220],"oversegmentation-based":[159],"regions":[160],"define":[162],"structural":[164],"overcome":[171],"aforementioned":[173],"assumptions.":[175],"Meanwhile,":[176],"recursive":[177],"filtering":[178],"transform":[181],"domain":[182],"above":[187],"preserve":[191],"global":[192,197],"edge":[193,198],"details.":[194],"Next,":[195],"details":[199],"are":[206],"fused":[207],"stacking":[211],"Finally,":[213],"composite":[215],"fed":[219],"supervised":[222],"classifier":[223],"classification":[227,250,255],"results.":[228],"Experimental":[229],"results":[230],"three":[232],"widely":[233],"used":[234],"real":[235],"data":[237],"sets":[238],"demonstrated":[239],"that":[240],"superior":[246],"several":[248],"comparative":[249],"methods":[251],"terms":[253],"burden.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}