{"id":"https://openalex.org/W4313055602","doi":"https://doi.org/10.1109/igarss46834.2022.9883816","title":"Improvement of Spatial Localization Accuracy in Learning-Based Patch Matching Using Anisotropic Fractal Brownian Motion Data","display_name":"Improvement of Spatial Localization Accuracy in Learning-Based Patch Matching Using Anisotropic Fractal Brownian Motion Data","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4313055602","doi":"https://doi.org/10.1109/igarss46834.2022.9883816"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883816","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001582997","display_name":"Mykhail. M. Uss","orcid":null},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Mykhail. M. Uss","raw_affiliation_strings":["National Aerospace University,Kharkov,Ukraine,61070"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Aerospace University,Kharkov,Ukraine,61070","institution_ids":["https://openalex.org/I23686167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106691452","display_name":"Beno\u00eet Vozel","orcid":"https://orcid.org/0000-0002-1920-2847"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benoit Vozel","raw_affiliation_strings":["University of Rennes,Lannion Cedex,France,22305"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rennes,Lannion Cedex,France,22305","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011325512","display_name":"Vladimir Lukin","orcid":"https://orcid.org/0000-0002-1443-9685"},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Vladimir V. Lukin","raw_affiliation_strings":["National Aerospace University,Kharkov,Ukraine,61070"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Aerospace University,Kharkov,Ukraine,61070","institution_ids":["https://openalex.org/I23686167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038728763","display_name":"Kacem Chehdi","orcid":"https://orcid.org/0000-0003-2659-812X"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Kacem Chehdi","raw_affiliation_strings":["University of Rennes,Lannion Cedex,France,22305"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rennes,Lannion Cedex,France,22305","institution_ids":["https://openalex.org/I56067802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3311","last_page":"3314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9921000003814697,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9921000003814697,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.709739089012146},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6715466976165771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6265332698822021},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5769999027252197},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.5653709173202515},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5575202107429504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5364341139793396},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5246132612228394},{"id":"https://openalex.org/keywords/fractional-brownian-motion","display_name":"Fractional Brownian motion","score":0.5234767198562622},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47177553176879883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38530170917510986},{"id":"https://openalex.org/keywords/brownian-motion","display_name":"Brownian motion","score":0.3653770685195923},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16741397976875305},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10700011253356934},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09951755404472351}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.709739089012146},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6715466976165771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6265332698822021},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5769999027252197},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.5653709173202515},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5575202107429504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5364341139793396},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5246132612228394},{"id":"https://openalex.org/C108819105","wikidata":"https://www.wikidata.org/wiki/Q1143293","display_name":"Fractional Brownian motion","level":3,"score":0.5234767198562622},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47177553176879883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38530170917510986},{"id":"https://openalex.org/C112401455","wikidata":"https://www.wikidata.org/wiki/Q178036","display_name":"Brownian motion","level":2,"score":0.3653770685195923},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16741397976875305},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10700011253356934},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09951755404472351},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883816","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04087007v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04087007","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2022, Kuala Lumpur, Malaysia. &#x27E8;10.1109/IGARSS46834.2022.9883816&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1561797649","https://openalex.org/W1762798876","https://openalex.org/W1901129140","https://openalex.org/W2021537669","https://openalex.org/W2608922915","https://openalex.org/W2987537249","https://openalex.org/W3008381818","https://openalex.org/W3087989882","https://openalex.org/W4210253418","https://openalex.org/W6639824700"],"related_works":["https://openalex.org/W2013332237","https://openalex.org/W2373202200","https://openalex.org/W4293226380","https://openalex.org/W1573173092","https://openalex.org/W2753870633","https://openalex.org/W1522259561","https://openalex.org/W2295517574","https://openalex.org/W3136093414","https://openalex.org/W3034439966","https://openalex.org/W2960646972"],"abstract_inverted_index":{"The":[0,68],"exhaustive":[1],"search":[2,57],"of":[3,10,20,30,64,85,99],"multiple":[4],"matches":[5,22,53],"in":[6],"an":[7,27],"overlapping":[8],"area":[9,58],"two":[11,32],"multimodal":[12],"remote":[13],"sensing":[14],"images":[15],"and":[16,59,82],"the":[17,80,86,104,130],"accurate":[18],"localization":[19],"found":[21],"are":[23],"inherent":[24],"steps":[25],"to":[26,78,115,129],"efficient":[28],"registration":[29],"these":[31],"images.":[33],"A":[34],"supervised":[35],"approach":[36],"based":[37,71],"on":[38,72],"convolutional":[39],"neural":[40],"networks":[41],"can":[42],"address":[43],"this":[44,108],"challenge":[45],"by":[46,123],"producing":[47],"a":[48,55,61,73],"similarity":[49,87],"map,":[50],"identifying":[51],"potential":[52],"within":[54],"preset":[56],"estimating":[60],"covariation":[62],"matrix":[63],"their":[65],"location":[66],"errors.":[67],"training":[69],"is":[70,111,120],"specially":[74],"designed":[75],"loss":[76,109],"function":[77,110],"enforce":[79],"translational":[81],"rotational":[83],"invariance":[84],"map.":[88],"Using":[89],"synthetic":[90],"samples":[91],"from":[92],"anisotropic":[93],"fractal":[94],"Brownian":[95],"motion":[96],"(afBm)":[97],"models":[98],"different":[100],"orientation,":[101],"we":[102],"made":[103],"experimental":[105],"finding":[106],"that":[107],"biased":[112],"with":[113],"respect":[114],"orientation.":[116],"This":[117],"bias":[118],"problem":[119],"then":[121],"addressed":[122],"beneficially":[124],"adding":[125],"pure":[126],"afBm":[127],"data":[128],"learning":[131],"process.":[132]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
