{"id":"https://openalex.org/W4361801444","doi":"https://doi.org/10.1109/tgrs.2023.3262928","title":"From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models With Spatial\u2013Channel Augmentation for Hyperspectral Images","display_name":"From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models With Spatial\u2013Channel Augmentation for Hyperspectral Images","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4361801444","doi":"https://doi.org/10.1109/tgrs.2023.3262928"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3262928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3262928","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5025719998","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0001-6127-3385"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Yang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101552648","display_name":"Yin Mao","orcid":"https://orcid.org/0009-0002-2879-8256"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Mao","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101436881","display_name":"Licheng Liu","orcid":"https://orcid.org/0000-0003-4891-9211"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Liu","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379556","display_name":"Xinxin Liu","orcid":"https://orcid.org/0000-0003-2739-2334"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Liu","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040002414","display_name":"Yuzhong Ma","orcid":"https://orcid.org/0000-0003-0101-5784"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuzhong Ma","raw_affiliation_strings":["Shandong Provincial Institute of Land Surveying and Mapping, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Provincial Institute of Land Surveying and Mapping, Jinan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101882854","display_name":"Jing Li","orcid":"https://orcid.org/0000-0003-0716-5329"},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["School of Information, Central University of Finance and Economics, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information, Central University of Finance and Economics, Beijing, China","institution_ids":["https://openalex.org/I137867983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5025719998"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":8.1772,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.97910234,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9908999800682068,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9556000232696533,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.792752742767334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7243667244911194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7213444709777832},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7143588066101074},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.708233654499054},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.654105007648468},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5908631086349487},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5427217483520508},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5316066741943359},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.526861310005188},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5164366364479065},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4881211221218109},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.4720402956008911},{"id":"https://openalex.org/keywords/dilation","display_name":"Dilation (metric space)","score":0.46258780360221863},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21706658601760864},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1830470860004425}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.792752742767334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7243667244911194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7213444709777832},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7143588066101074},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.708233654499054},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.654105007648468},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5908631086349487},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5427217483520508},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5316066741943359},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.526861310005188},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5164366364479065},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4881211221218109},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.4720402956008911},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.46258780360221863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21706658601760864},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1830470860004425},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"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},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3262928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3262928","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1893695154","display_name":null,"funder_award_id":"2022YFD1700802","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2907349328","display_name":null,"funder_award_id":"kq2208036","funder_id":"https://openalex.org/F4320336753","funder_display_name":"Changsha Science and Technology Project"},{"id":"https://openalex.org/G8490515611","display_name":null,"funder_award_id":"ES202380050","funder_id":"https://openalex.org/F4320314783","funder_display_name":"Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle"}],"funders":[{"id":"https://openalex.org/F4320314783","display_name":"Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336753","display_name":"Changsha Science and Technology Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1964069486","https://openalex.org/W2006383776","https://openalex.org/W2036798369","https://openalex.org/W2104374858","https://openalex.org/W2122700624","https://openalex.org/W2125930537","https://openalex.org/W2133059825","https://openalex.org/W2134969826","https://openalex.org/W2153864221","https://openalex.org/W2601564443","https://openalex.org/W2804902458","https://openalex.org/W2884276099","https://openalex.org/W2898923688","https://openalex.org/W2900587135","https://openalex.org/W2902613830","https://openalex.org/W2902788350","https://openalex.org/W2910587630","https://openalex.org/W2911648799","https://openalex.org/W2953308875","https://openalex.org/W2964013315","https://openalex.org/W3009942016","https://openalex.org/W3015167329","https://openalex.org/W3017940382","https://openalex.org/W3027201985","https://openalex.org/W3044657819","https://openalex.org/W3099831940","https://openalex.org/W3105553032","https://openalex.org/W3129277615","https://openalex.org/W3134663792","https://openalex.org/W3154634026","https://openalex.org/W3164855829","https://openalex.org/W3181727745","https://openalex.org/W3182928821","https://openalex.org/W3183729446","https://openalex.org/W3186066750","https://openalex.org/W3196356615","https://openalex.org/W3197557720","https://openalex.org/W3207488093","https://openalex.org/W3208491925","https://openalex.org/W3215176889","https://openalex.org/W3217071007","https://openalex.org/W4200206103","https://openalex.org/W4205379033","https://openalex.org/W4206267281","https://openalex.org/W4206550078","https://openalex.org/W4211155378","https://openalex.org/W4214601364","https://openalex.org/W4214836281","https://openalex.org/W4221013571","https://openalex.org/W4226256612","https://openalex.org/W4280554994","https://openalex.org/W4281675222","https://openalex.org/W4283721824","https://openalex.org/W4285111599","https://openalex.org/W4285176380","https://openalex.org/W4285224173","https://openalex.org/W4288621368","https://openalex.org/W4292825900","https://openalex.org/W4293193225","https://openalex.org/W4293812296","https://openalex.org/W4294691181","https://openalex.org/W4294811351","https://openalex.org/W4300537377","https://openalex.org/W4309730479","https://openalex.org/W6629944422","https://openalex.org/W6631943919","https://openalex.org/W6678818196","https://openalex.org/W6685315510","https://openalex.org/W6696085341","https://openalex.org/W6757468910"],"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/W1973197867","https://openalex.org/W4281675222","https://openalex.org/W2568271140","https://openalex.org/W2080106448","https://openalex.org/W3036216071"],"abstract_inverted_index":{"Deep":[0],"learning":[1,30],"approaches":[2],"have":[3,37],"been":[4,38],"extensively":[5],"applied":[6],"to":[7,40,63,69,139],"change":[8,34,90,149,189],"detection":[9,35,91],"in":[10,43,92,198,218],"hyperspectral":[11,230],"images":[12],"(HSIs).":[13],"However,":[14],"the":[15,125,141,144,187,201,214,242,245],"majority":[16],"of":[17,21,97,127,129,143,183,186,244],"them":[18],"encounter":[19],"scarcity":[20],"training":[22],"samples":[23],"or":[24],"rely":[25],"on":[26],"complex":[27],"structures":[28],"and":[29,53,57,67,131,153,159,168,177,180,205,233],"strategies.":[31],"Although":[32],"untrained":[33,76,204],"models":[36,81],"proved":[39],"be":[41],"effective":[42],"relief":[44],"above":[45],"problems,":[46],"they":[47,208],"were":[48],"constructed":[49],"using":[50,78,107],"regular":[51],"convolutions":[52,130],"treated":[54],"spatial":[55,166],"locations":[56],"channels":[58,185],"equally,":[59],"which":[60,113,137,163],"are":[61,196,203,209],"insufficient":[62],"extract":[64,115],"discriminative":[65],"features":[66,118],"lead":[68],"limited":[70],"accuracy.":[71],"Given":[72],"this,":[73],"a":[74,148],"novel":[75],"framework":[77],"randomly":[79,210],"initialized":[80],"with":[82,236],"spatial-channel":[83,160],"augmentation":[84,152,161],"(RICD)":[85],"is":[86,224],"proposed":[87],"for":[88],"HSI":[89],"this":[93],"paper.":[94],"It":[95,123,171],"consists":[96],"two":[98],"major":[99],"modules:":[100],"1)":[101],"an":[102,219],"enhanced":[103],"feature":[104,110,151,157],"extraction":[105,111],"network":[106],"successive":[108],"dilation-deformable":[109],"blocks,":[112],"can":[114,164,216],"multiscale":[116],"spatial-spectral":[117],"over":[119,226],"unfixed":[120],"sampling":[121],"locations.":[122],"enlarges":[124],"field":[126],"view":[128],"takes":[132],"arbitrary":[133],"neighborhood":[134],"into":[135],"consideration,":[136],"helps":[138],"increase":[140],"discriminativeness":[142],"extracted":[145],"features;":[146],"2)":[147],"sensitive":[150,190],"comparison":[154],"module":[155],"integrating":[156],"selection":[158],"strategies,":[162],"exploit":[165],"context":[167],"channel":[169],"importance.":[170],"magnifies":[172],"difference":[173],"between":[174],"changed":[175],"pixels":[176],"unchanged":[178],"ones":[179],"emphasizes":[181],"contribution":[182],"significant":[184],"selected":[188],"features.":[191],"Despite":[192],"that":[193,213],"convolution":[194],"operations":[195],"included":[197],"RICD,":[199],"all":[200],"weights":[202],"fixed":[206],"once":[207],"initialized,":[211],"indicating":[212],"RICD":[215,246],"work":[217],"unsupervised":[220,239],"manner.":[221],"Its":[222],"performance":[223],"tested":[225],"three":[227],"widely":[228],"used":[229],"datasets.":[231],"Quantitative":[232],"qualitative":[234],"comparisons":[235],"several":[237],"state-of-the-art":[238],"methods":[240],"reveal":[241],"effectiveness":[243],"method.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":12}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
