{"id":"https://openalex.org/W4399785054","doi":"https://doi.org/10.1007/s11760-024-03331-w","title":"Image generation of log ends and patches of log ends with controlled properties using generative adversarial networks","display_name":"Image generation of log ends and patches of log ends with controlled properties using generative adversarial networks","publication_year":2024,"publication_date":"2024-06-18","ids":{"openalex":"https://openalex.org/W4399785054","doi":"https://doi.org/10.1007/s11760-024-03331-w"},"language":"en","primary_location":{"id":"doi:10.1007/s11760-024-03331-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11760-024-03331-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11760-024-03331-w.pdf","source":{"id":"https://openalex.org/S156904493","display_name":"Signal Image and Video Processing","issn_l":"1863-1703","issn":["1863-1703","1863-1711"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal, Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11760-024-03331-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109734738","display_name":"Dag Bj\u00f6rnberg","orcid":null},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Dag Bj\u00f6rnberg","raw_affiliation_strings":["Department of Computer Science and Media Technology, Linn\u00e6us University, V\u00e4xj\u00f6, Sweden","Softwerk AB, V\u00e4xj\u00f6, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Media Technology, Linn\u00e6us University, V\u00e4xj\u00f6, Sweden","institution_ids":["https://openalex.org/I223464139"]},{"raw_affiliation_string":"Softwerk AB, V\u00e4xj\u00f6, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075680546","display_name":"Morgan Ericsson","orcid":"https://orcid.org/0000-0003-1173-5187"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Morgan Ericsson","raw_affiliation_strings":["Department of Computer Science and Media Technology, Linn\u00e6us University, V\u00e4xj\u00f6, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Media Technology, Linn\u00e6us University, V\u00e4xj\u00f6, Sweden","institution_ids":["https://openalex.org/I223464139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081982477","display_name":"Johan Lindeberg","orcid":null},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Johan Lindeberg","raw_affiliation_strings":["Department of Forestry and Wood Technology, Linn\u00e6us University, V\u00e4xj\u00f6, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Forestry and Wood Technology, Linn\u00e6us University, V\u00e4xj\u00f6, Sweden","institution_ids":["https://openalex.org/I223464139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079513446","display_name":"Welf L\u00f6we","orcid":"https://orcid.org/0000-0002-7565-3714"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Welf L\u00f6we","raw_affiliation_strings":["Department of Computer Science and Media Technology, Linn\u00e6us University, V\u00e4xj\u00f6, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Media Technology, Linn\u00e6us University, V\u00e4xj\u00f6, Sweden","institution_ids":["https://openalex.org/I223464139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003367874","display_name":"Jonas Nordqvist","orcid":"https://orcid.org/0000-0002-0510-6782"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jonas Nordqvist","raw_affiliation_strings":["Department of Mathematics, Linn\u00e6us University, V\u00e4xj\u00f6, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Linn\u00e6us University, V\u00e4xj\u00f6, Sweden","institution_ids":["https://openalex.org/I223464139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109734738"],"corresponding_institution_ids":["https://openalex.org/I223464139"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.2536,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49530826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"18","issue":"8-9","first_page":"6481","last_page":"6489"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pith","display_name":"Pith","score":0.9130027294158936},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6656361818313599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6584963798522949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4322616457939148},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4229617118835449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3248278796672821},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08479687571525574},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.072426438331604}],"concepts":[{"id":"https://openalex.org/C15228724","wikidata":"https://www.wikidata.org/wiki/Q192576","display_name":"Pith","level":2,"score":0.9130027294158936},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6656361818313599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6584963798522949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4322616457939148},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4229617118835449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3248278796672821},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08479687571525574},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.072426438331604},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11760-024-03331-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11760-024-03331-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11760-024-03331-w.pdf","source":{"id":"https://openalex.org/S156904493","display_name":"Signal Image and Video Processing","issn_l":"1863-1703","issn":["1863-1703","1863-1711"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal, Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:lnu-131577","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-131577","pdf_url":null,"source":{"id":"https://openalex.org/S4306401598","display_name":"DiVA (Linnaeus University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223464139","host_organization_name":"Linnaeus University","host_organization_lineage":["https://openalex.org/I223464139"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/s11760-024-03331-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11760-024-03331-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11760-024-03331-w.pdf","source":{"id":"https://openalex.org/S156904493","display_name":"Signal Image and Video Processing","issn_l":"1863-1703","issn":["1863-1703","1863-1711"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal, Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G581770364","display_name":null,"funder_award_id":"20190336","funder_id":"https://openalex.org/F4320321759","funder_display_name":"Stiftelsen f\u00f6r Kunskaps- och Kompetensutveckling"}],"funders":[{"id":"https://openalex.org/F4320321759","display_name":"Stiftelsen f\u00f6r Kunskaps- och Kompetensutveckling","ror":"https://ror.org/02cbq7e25"},{"id":"https://openalex.org/F4320323551","display_name":"Linn\u00e9universitetet","ror":"https://ror.org/00j9qag85"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399785054.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2054055636","https://openalex.org/W2067911292","https://openalex.org/W2139577851","https://openalex.org/W2152366993","https://openalex.org/W2165698076","https://openalex.org/W2754955761","https://openalex.org/W2765663085","https://openalex.org/W2773731871","https://openalex.org/W2807959841","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963420272","https://openalex.org/W3001208314","https://openalex.org/W3096831136","https://openalex.org/W3135111173","https://openalex.org/W3196616669","https://openalex.org/W3200713514","https://openalex.org/W4220820466","https://openalex.org/W4220902916"],"related_works":["https://openalex.org/W4398242276","https://openalex.org/W4313165097","https://openalex.org/W4388656347","https://openalex.org/W1977797042","https://openalex.org/W2335948780","https://openalex.org/W92582641","https://openalex.org/W2393958722","https://openalex.org/W2184819639","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Abstract":[0],"The":[1,137,186,202],"appearance":[2],"of":[3,14,26,34,41,72,77,108,124,149,155,157,179,208,211,228],"the":[4,12,15,109,115,119,129,163,206],"log":[5,125,151,158],"cross-section":[6],"provides":[7],"important":[8],"information":[9],"when":[10,100],"assessing":[11],"quality":[13],"log,":[16],"where":[17],"properties":[18,71],"to":[19,57,64,117,131,142,167,176],"consider":[20],"include":[21],"pith":[22,35,73,180,212],"location":[23,36,74,181,213],"and":[24,37,55,75,153,182,193,196,214],"density":[25],"annual":[27,38,78],"rings.":[28,79],"This":[29,112],"makes":[30],"tasks":[31,51],"like":[32],"estimation":[33,178,210],"ring":[39,183,215],"detection":[40],"great":[42],"interest.":[43],"However,":[44],"creating":[45],"labeled":[46],"training":[47,67,102,107,135,146,223,230],"data":[48,68,103,127,165,195,200,224],"for":[49],"these":[50],"can":[52,93,217],"be":[53,218],"time-consuming":[54],"subject":[56],"misjudgments.":[58],"For":[59],"this":[60],"reason,":[61],"we":[62,92,170],"aim":[63],"create":[65,143],"generated":[66,145,164,194,229],"with":[69,225],"controlled":[70],"amount":[76],"We":[80],"propose":[81],"a":[82],"two-step":[83],"generator":[84,110,120],"based":[85],"on":[86,121,191,198],"generative":[87],"adversarial":[88],"networks":[89],"in":[90],"which":[91],"completely":[94],"avoid":[95],"manual":[96],"labeling,":[97],"not":[98],"only":[99],"generating":[101],"but":[104],"also":[105],"during":[106],"itself.":[111],"opens":[113],"up":[114],"possibility":[116],"train":[118,171],"other":[122],"types":[123],"end":[126],"without":[128],"need":[130],"manually":[132],"label":[133],"new":[134],"data.":[136,231],"same":[138],"method":[139],"is":[140],"used":[141],"two":[144,172],"datasets;":[147],"one":[148,154],"entire":[150],"ends":[152],"patches":[156],"ends.":[159],"To":[160],"evaluate":[161],"how":[162],"compares":[166],"real":[168,192,199,222],"data,":[169],"deep":[173],"learning":[174],"models":[175,187],"perform":[177],"counting,":[184],"respectively.":[185],"are":[188],"trained":[189],"separately":[190],"evaluated":[197],"only.":[201],"results":[203],"show":[204],"that":[205],"performance":[207],"both":[209],"counting":[216],"improved":[219],"by":[220],"replacing":[221],"larger":[226],"sets":[227]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
