{"id":"https://openalex.org/W2895030745","doi":"https://doi.org/10.1109/dsmp.2018.8478435","title":"Evaluation of Objects Recognition Efficiency on Mapes by Various Methods","display_name":"Evaluation of Objects Recognition Efficiency on Mapes by Various Methods","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2895030745","doi":"https://doi.org/10.1109/dsmp.2018.8478435","mag":"2895030745"},"language":"en","primary_location":{"id":"doi:10.1109/dsmp.2018.8478435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsmp.2018.8478435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Second International Conference on Data Stream Mining &amp; Processing (DSMP)","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/A5032379056","display_name":"Yu. Furgala","orcid":"https://orcid.org/0000-0001-7316-7424"},"institutions":[{"id":"https://openalex.org/I200280692","display_name":"Lviv University","ror":"https://ror.org/01s7y5e82","country_code":"UA","type":"education","lineage":["https://openalex.org/I200280692"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Yuriy Furgala","raw_affiliation_strings":["Department of electronic and computer technologies, Ivan Franko National University of Lviv, Lviv, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of electronic and computer technologies, Ivan Franko National University of Lviv, Lviv, Ukraine","institution_ids":["https://openalex.org/I200280692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086480614","display_name":"Yuriy Mochulsky","orcid":null},"institutions":[{"id":"https://openalex.org/I200280692","display_name":"Lviv University","ror":"https://ror.org/01s7y5e82","country_code":"UA","type":"education","lineage":["https://openalex.org/I200280692"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Yuriy Mochulsky","raw_affiliation_strings":["Department of electronic and computer technologies, Ivan Franko National University of Lviv, Lviv, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of electronic and computer technologies, Ivan Franko National University of Lviv, Lviv, Ukraine","institution_ids":["https://openalex.org/I200280692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028175178","display_name":"Bohdan Rusyn","orcid":"https://orcid.org/0000-0001-8654-2270"},"institutions":[{"id":"https://openalex.org/I4210119943","display_name":"G.V. Karpenko Physical-Mechanical Institute","ror":"https://ror.org/02jv3yx22","country_code":"UA","type":"facility","lineage":["https://openalex.org/I149851306","https://openalex.org/I4210119943"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Bohdan Rusyn","raw_affiliation_strings":["Karpenko Physico-Mechanical Institute of the NASU Lviv, Ukraine University of Technology and Humanities, Radom, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karpenko Physico-Mechanical Institute of the NASU Lviv, Ukraine University of Technology and Humanities, Radom, Poland","institution_ids":["https://openalex.org/I4210119943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.09367286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"595","last_page":"598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9641000032424927,"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/T13608","display_name":"Advanced Computational Techniques in Science and Engineering","score":0.9495999813079834,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.9251350164413452},{"id":"https://openalex.org/keywords/orb","display_name":"Orb (optics)","score":0.8160343170166016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7208212018013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6908809542655945},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5972142815589905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47973790764808655},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42190930247306824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4103267788887024}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.9251350164413452},{"id":"https://openalex.org/C108260229","wikidata":"https://www.wikidata.org/wiki/Q47023","display_name":"Orb (optics)","level":3,"score":0.8160343170166016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7208212018013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6908809542655945},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5972142815589905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47973790764808655},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42190930247306824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4103267788887024}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dsmp.2018.8478435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsmp.2018.8478435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Second International Conference on Data Stream Mining &amp; Processing (DSMP)","raw_type":"proceedings-article"},{"id":"pmh:oai:ena.lp.edu.ua:ntb/52454","is_oa":false,"landing_page_url":"http://ena.lp.edu.ua:8080/handle/ntb/52454","pdf_url":null,"source":{"id":"https://openalex.org/S4306400131","display_name":"Electronic Scientific Archive (Lviv Polytechnic)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98435010","host_organization_name":"Lviv Polytechnic National University","host_organization_lineage":["https://openalex.org/I98435010"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Abstract"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.7099999785423279,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W159087758","https://openalex.org/W1491719799","https://openalex.org/W1663973292","https://openalex.org/W1677409904","https://openalex.org/W1990741142","https://openalex.org/W2009086942","https://openalex.org/W2082642851","https://openalex.org/W2116645043","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2184781617","https://openalex.org/W2186132424","https://openalex.org/W2492536953","https://openalex.org/W4244883624","https://openalex.org/W4285719527","https://openalex.org/W6606362460","https://openalex.org/W6677562810","https://openalex.org/W6687141033"],"related_works":["https://openalex.org/W3119342790","https://openalex.org/W3103148063","https://openalex.org/W2794556651","https://openalex.org/W4205482147","https://openalex.org/W2005032722","https://openalex.org/W2763213405","https://openalex.org/W1951615866","https://openalex.org/W59890435","https://openalex.org/W4312069198","https://openalex.org/W4382882667"],"abstract_inverted_index":{"The":[0],"paper":[1],"analyzes":[2],"the":[3,25,31,34,38,50,56,64,68],"efficiency":[4],"of":[5,28,33,40,43],"image":[6],"recognition":[7,29],"on":[8,45],"terrestrial":[9],"photographs":[10],"by":[11],"SURF,":[12],"SIFT":[13,35],"and":[14,47],"ORB":[15,57],"methods.":[16],"It":[17],"has":[18,63],"been":[19],"shown":[20],"that":[21],"for":[22],"high-quality":[23],"images,":[24,49],"highest":[26,65],"probability":[27],"in":[30],"application":[32],"method.":[36],"In":[37],"case":[39],"identifying":[41],"fragments":[42],"images":[44],"noisy":[46],"blurred":[48],"best":[51],"results":[52],"are":[53],"obtained":[54],"using":[55],"method,":[58],"which,":[59],"together":[60],"with":[61],"this,":[62],"performance":[66],"among":[67],"methods":[69],"used.":[70]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
