{"id":"https://openalex.org/W4401328456","doi":"https://doi.org/10.1109/tgrs.2024.3438465","title":"Multiscale Hierarchical Losses to Preserve Hidden-Layer Features for Unsupervised Change Detection","display_name":"Multiscale Hierarchical Losses to Preserve Hidden-Layer Features for Unsupervised Change Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401328456","doi":"https://doi.org/10.1109/tgrs.2024.3438465"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3438465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3438465","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/A5022271121","display_name":"Luca Bergamasco","orcid":"https://orcid.org/0000-0001-7815-9001"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Luca Bergamasco","raw_affiliation_strings":["Center of Digital Society, Fondazione Bruno Kessler, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Center of Digital Society, Fondazione Bruno Kessler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087668203","display_name":"Francesca Bovolo","orcid":"https://orcid.org/0000-0003-3104-7656"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Bovolo","raw_affiliation_strings":["Center of Digital Society, Fondazione Bruno Kessler, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Center of Digital Society, Fondazione Bruno Kessler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006095323","display_name":"Lorenzo Bruzzone","orcid":"https://orcid.org/0000-0002-6036-459X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Bruzzone","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022271121"],"corresponding_institution_ids":["https://openalex.org/I2277624104"],"apc_list":null,"apc_paid":null,"fwci":0.6569,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68752726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.3255999982357025,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.3255999982357025,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.3018999993801117,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6415063738822937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5968044996261597},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5763277411460876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5178699493408203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.515644907951355},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4600204825401306}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6415063738822937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5968044996261597},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5763277411460876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5178699493408203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.515644907951355},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4600204825401306},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2024.3438465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3438465","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"},{"id":"pmh:oai:iris.unitn.it:11572/423695","is_oa":false,"landing_page_url":"https://hdl.handle.net/11572/423695","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W2359428812","https://openalex.org/W3181296946","https://openalex.org/W2015705630","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"(DL)":[2],"approaches":[3],"are":[4,20,97],"widely":[5],"used":[6,98],"to":[7,37,77,137,161],"improve":[8],"change":[9],"detection":[10],"(CD).":[11],"In":[12,68],"many":[13],"application":[14],"domains,":[15],"unsupervised":[16,30,101],"DL":[17,35],"CD":[18,31,103,150],"methods":[19,32],"preferred":[21],"since":[22],"gathering":[23],"multitemporal":[24],"labeled":[25],"samples":[26],"is":[27],"challenging.":[28],"Many":[29],"use":[33],"pre-trained":[34],"models":[36],"extract":[38],"multiscale":[39,57,79,89,102],"features.":[40],"This":[41],"does":[42],"not":[43],"allow":[44],"for":[45],"preserving":[46],"the":[47,52,56,95,117,121,125,133,139,149,164,172],"spatial":[48,85],"context":[49,86],"information":[50],"and":[51,82,186],"object":[53],"structure":[54],"in":[55,64,99],"hidden-layer":[58,80,90,130,167],"features,":[59,131],"thus":[60],"obtaining":[61],"poor":[62],"performance":[63],"modeling":[65],"multiresolution":[66],"changes.":[67],"this":[69],"article,":[70],"we":[71],"propose":[72],"two":[73,107],"hierarchical":[74,109],"loss":[75,110,145],"functions":[76],"train":[78],"features":[81],"preserve":[83,138],"their":[84],"information.":[87],"The":[88,112],"feature":[91,154,168],"maps":[92],"extracted":[93],"from":[94],"model":[96,118],"an":[100],"method.":[104],"We":[105,170],"present":[106],"possible":[108],"functions.":[111],"first":[113],"one":[114,135],"considers":[115],"all":[116],"layers":[119],"during":[120],"training":[122],"by":[123,180],"comparing":[124],"mirrored":[126],"couples":[127],"of":[128],"encoder\u2013decoder":[129],"while":[132],"second":[134],"aims":[136],"geometrical":[140],"details":[141],"using":[142],"a":[143,153,183,190],"multiresolution-based":[144],"function.":[146],"After":[147],"training,":[148],"method":[151,174],"uses":[152],"selection":[155],"(FS)":[156],"based":[157],"on":[158,175],"structure-similarity-index":[159],"(SSIM)":[160],"keep":[162],"only":[163],"most":[165],"informative":[166],"maps.":[169],"tested":[171],"proposed":[173],"bi-temporal":[176],"multispectral":[177],"images":[178,188],"acquired":[179],"Landsat-8":[181],"representing":[182,189],"burned":[184],"area":[185],"Sentinel-2":[187],"deforested":[191],"area.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}