{"id":"https://openalex.org/W2945996433","doi":"https://doi.org/10.23919/fruct.2019.8711904","title":"Multi-threshold Object Selection in Remote Sensing Images","display_name":"Multi-threshold Object Selection in Remote Sensing Images","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2945996433","doi":"https://doi.org/10.23919/fruct.2019.8711904","mag":"2945996433"},"language":"en","primary_location":{"id":"doi:10.23919/fruct.2019.8711904","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct.2019.8711904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 24th Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5070455462","display_name":"V. I. Volkov","orcid":"https://orcid.org/0000-0001-8552-4775"},"institutions":[{"id":"https://openalex.org/I130523015","display_name":"Saint Petersburg State University of Aerospace and Instrumentation","ror":"https://ror.org/02rsxaa93","country_code":"RU","type":"education","lineage":["https://openalex.org/I130523015"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Volkov","raw_affiliation_strings":["Saint Petersburg Electrotechnical University (LETI), Saint Petersburg State University of Aerospace Instrumentation, Saint Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saint Petersburg Electrotechnical University (LETI), Saint Petersburg State University of Aerospace Instrumentation, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I130523015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005307612","display_name":"Oleg A. Markelov","orcid":"https://orcid.org/0000-0002-6099-8867"},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Oleg Markelov","raw_affiliation_strings":["Saint Petersburg Electrotechnical University (LETI), Saint Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saint Petersburg Electrotechnical University (LETI), Saint Petersburg, Russia","institution_ids":["https://openalex.org/I41518628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068026722","display_name":"Mikhail I. Bogachev","orcid":"https://orcid.org/0000-0002-0356-5651"},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Mikhail Bogachev","raw_affiliation_strings":["Saint Petersburg Electrotechnical University (LETI), Saint Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saint Petersburg Electrotechnical University (LETI), Saint Petersburg, Russia","institution_ids":["https://openalex.org/I41518628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1812,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53482163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"509","last_page":"517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9952999949455261,"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":0.9952999949455261,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9944999814033508,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9908000230789185,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/monochrome","display_name":"Monochrome","score":0.7596045732498169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935234069824219},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6690688133239746},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6524909734725952},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.645565390586853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.591797411441803},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49109649658203125},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.48270106315612793},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.4766008257865906},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4480102062225342},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.4128556251525879},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36086708307266235},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3330755829811096},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27570411562919617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20136147737503052}],"concepts":[{"id":"https://openalex.org/C2776754580","wikidata":"https://www.wikidata.org/wiki/Q10770146","display_name":"Monochrome","level":2,"score":0.7596045732498169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935234069824219},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6690688133239746},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6524909734725952},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.645565390586853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.591797411441803},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49109649658203125},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.48270106315612793},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.4766008257865906},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4480102062225342},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4128556251525879},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36086708307266235},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3330755829811096},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27570411562919617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20136147737503052},{"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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/fruct.2019.8711904","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct.2019.8711904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 24th Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:a0b0745bade8471ab2e8103d85a9b784","is_oa":false,"landing_page_url":"https://doaj.org/article/a0b0745bade8471ab2e8103d85a9b784","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 854, Iss 24, Pp 509-517 (2019)","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W986655666","https://openalex.org/W1736422546","https://openalex.org/W1993307196","https://openalex.org/W2076063977","https://openalex.org/W2152371646","https://openalex.org/W2170741744","https://openalex.org/W2605797336","https://openalex.org/W2797908548","https://openalex.org/W2799239273","https://openalex.org/W2904834412","https://openalex.org/W2951506323"],"related_works":["https://openalex.org/W2356040864","https://openalex.org/W2623088128","https://openalex.org/W294870043","https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W214368458","https://openalex.org/W2132362409","https://openalex.org/W4200384795"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,4,6,22,29,45,71],"selection":[3,28,37,44],"objects":[5,46],"different":[7],"nature":[8],"in":[9],"digital":[10],"monochrome":[11],"images":[12,74,84],"obtained":[13,85],"by":[14,47,86],"remote":[15,90],"observation":[16],"systems":[17,91],"is":[18],"considered.":[19,93],"Novel":[20],"schemes":[21],"multi-threshold":[23,43],"image":[24],"analysis":[25,75],"and":[26,61,68,88],"object":[27],"with":[30],"the":[31,36,59],"threshold":[32],"adjustment":[33],"based":[34],"on":[35],"results":[38],"are":[39,66,92],"proposed.":[40],"Algorithms":[41],"for":[42],"their":[48],"areas":[49],"as":[50,52,58,77,80,82],"well":[51,81],"other":[53],"scale-invariant":[54],"geometric":[55],"criteria,":[56],"such":[57],"perimeter":[60],"main":[62],"axis":[63],"elongation":[64],"coefficients":[65],"proposed":[67],"evaluated.":[69],"Results":[70],"standard":[72],"model":[73],"acting":[76],"a":[78],"testbed":[79],"real-world":[83],"television":[87],"infrared":[89]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
