{"id":"https://openalex.org/W2800335963","doi":"https://doi.org/10.1117/12.2310085","title":"Neural network-based feature point descriptors for registration of optical and SAR images","display_name":"Neural network-based feature point descriptors for registration of optical and SAR images","publication_year":2018,"publication_date":"2018-04-13","ids":{"openalex":"https://openalex.org/W2800335963","doi":"https://doi.org/10.1117/12.2310085","mag":"2800335963"},"language":"en","primary_location":{"id":"doi:10.1117/12.2310085","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2310085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","raw_type":"proceedings-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/A5063189132","display_name":"Dmitry Abulkhanov","orcid":"https://orcid.org/0000-0002-8758-2458"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Dmitry Abulkhanov","raw_affiliation_strings":["Institute for Information Transmission Problems (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066631478","display_name":"Dmitry Nikolaev","orcid":"https://orcid.org/0000-0001-5560-7668"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry Nikolaev","raw_affiliation_strings":["Institute for Information Transmission Problems (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051694844","display_name":"Alexey Savchik","orcid":"https://orcid.org/0000-0003-3035-1365"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexey Savchik","raw_affiliation_strings":["Institute for Information Transmission Problems (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039718436","display_name":"Dmitry Sidorchuk","orcid":"https://orcid.org/0000-0003-2873-9387"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry Sidorchuk","raw_affiliation_strings":["Institute for Information Transmission Problems (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057679046","display_name":"\u0418\u0432\u0430\u043d \u041a\u043e\u043d\u043e\u0432\u0430\u043b\u0435\u043d\u043a\u043e","orcid":"https://orcid.org/0000-0001-5705-4438"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ivan Konovalenko","raw_affiliation_strings":["Institute for Information Transmission Problems (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015956798","display_name":"Evgeny Shvets","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Evgeny A. Shvets","raw_affiliation_strings":["Institute for Information Transmission Problems (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063189132"],"corresponding_institution_ids":["https://openalex.org/I4210107660"],"apc_list":null,"apc_paid":null,"fwci":0.5223,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69963838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"72","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.998199999332428,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.8596217632293701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8024135828018188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7724421620368958},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7695388793945312},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6975083351135254},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.654601514339447},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6400260925292969},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5553979873657227},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5105303525924683},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4836341142654419},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4642900228500366},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4586468040943146},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4313434660434723},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.41540804505348206},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3799547553062439},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2934442460536957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11402440071105957}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8596217632293701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8024135828018188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7724421620368958},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7695388793945312},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6975083351135254},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.654601514339447},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6400260925292969},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5553979873657227},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5105303525924683},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4836341142654419},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4642900228500366},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4586468040943146},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4313434660434723},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.41540804505348206},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3799547553062439},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2934442460536957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11402440071105957},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2310085","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2310085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1504108853","https://openalex.org/W1522301498","https://openalex.org/W1547922449","https://openalex.org/W1869500417","https://openalex.org/W1963623641","https://openalex.org/W1980113665","https://openalex.org/W2029693524","https://openalex.org/W2034432063","https://openalex.org/W2085261163","https://openalex.org/W2124386111","https://openalex.org/W2127589108","https://openalex.org/W2138621090","https://openalex.org/W2144123711","https://openalex.org/W2192261264","https://openalex.org/W2219193941","https://openalex.org/W2548389775","https://openalex.org/W2587752732","https://openalex.org/W2590500019","https://openalex.org/W2593948489","https://openalex.org/W2596901677","https://openalex.org/W2597053402","https://openalex.org/W4210608724","https://openalex.org/W6631190155","https://openalex.org/W6632830551","https://openalex.org/W6639200214","https://openalex.org/W6678135826","https://openalex.org/W6679208599","https://openalex.org/W6680272447","https://openalex.org/W6687602390","https://openalex.org/W6734145848","https://openalex.org/W6735638765"],"related_works":["https://openalex.org/W2912782527","https://openalex.org/W2002904063","https://openalex.org/W2559085038","https://openalex.org/W2184781617","https://openalex.org/W2724122122","https://openalex.org/W2410884360","https://openalex.org/W2032794652","https://openalex.org/W2613823046","https://openalex.org/W4251240031","https://openalex.org/W2574175918"],"abstract_inverted_index":{"Registration":[0],"of":[1,3,22,37,62,64],"images":[2,40,51],"different":[4,53],"nature":[5],"is":[6,31],"an":[7],"important":[8],"technique":[9],"used":[10],"in":[11],"image":[12],"fusion,":[13],"change":[14],"detection,":[15],"efficient":[16],"information":[17],"representation":[18],"and":[19,66,78],"other":[20],"problems":[21],"computer":[23],"vision.":[24],"Solving":[25],"this":[26,56],"task":[27],"using":[28],"feature-based":[29],"approaches":[30],"usually":[32],"more":[33],"complex":[34],"than":[35],"registration":[36,63],"several":[38],"optical":[39,67],"because":[41],"traditional":[42],"feature":[43,75],"descriptors":[44,77],"(SIFT,":[45],"SURF,":[46],"etc.)":[47],"perform":[48],"poorly":[49],"when":[50],"have":[52],"nature.":[54],"In":[55],"paper":[57],"we":[58],"consider":[59],"the":[60,92],"problem":[61],"SAR":[65],"images.":[68],"We":[69],"train":[70],"neural":[71],"network":[72],"to":[73,82],"build":[74],"point":[76],"use":[79],"RANSAC":[80],"algorithm":[81],"align":[83],"found":[84],"matches.":[85],"Experimental":[86],"results":[87],"are":[88],"presented":[89],"that":[90],"confirm":[91],"method\u2019s":[93],"effectiveness.":[94]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
