{"id":"https://openalex.org/W3126480316","doi":"https://doi.org/10.1109/icoin50884.2021.9333861","title":"Remote Sensing Image Registration Using Equivariance Features","display_name":"Remote Sensing Image Registration Using Equivariance Features","publication_year":2021,"publication_date":"2021-01-13","ids":{"openalex":"https://openalex.org/W3126480316","doi":"https://doi.org/10.1109/icoin50884.2021.9333861","mag":"3126480316"},"language":"en","primary_location":{"id":"doi:10.1109/icoin50884.2021.9333861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin50884.2021.9333861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Information Networking (ICOIN)","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/A5082844857","display_name":"Wooju Lee","orcid":"https://orcid.org/0000-0002-3388-3765"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Woo-Ju Lee","raw_affiliation_strings":["Kwangwoon University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kwangwoon University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029538231","display_name":"Seoung\u2010Jun Oh","orcid":"https://orcid.org/0000-0002-7249-3647"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seoung-Jun Oh","raw_affiliation_strings":["Kwangwoon University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kwangwoon University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I161024014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082844857"],"corresponding_institution_ids":["https://openalex.org/I161024014"],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58455882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"776","last_page":"781"},"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":0.9991000294685364,"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":0.9991000294685364,"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":0.9969000220298767,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9934999942779541,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7287530303001404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.712171196937561},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5823351740837097},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5821630358695984},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5755875110626221},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5302169919013977},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5045350790023804},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49184179306030273},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4646206796169281},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45829591155052185},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.4418392777442932},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.42823341488838196},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42010557651519775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40289080142974854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13272354006767273},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08141854405403137}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7287530303001404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.712171196937561},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5823351740837097},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5821630358695984},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5755875110626221},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5302169919013977},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5045350790023804},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49184179306030273},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4646206796169281},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45829591155052185},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.4418392777442932},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.42823341488838196},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42010557651519775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40289080142974854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13272354006767273},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08141854405403137},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin50884.2021.9333861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin50884.2021.9333861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Information Networking (ICOIN)","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":20,"referenced_works":["https://openalex.org/W1929856797","https://openalex.org/W1955055330","https://openalex.org/W2000293349","https://openalex.org/W2076063813","https://openalex.org/W2110375187","https://openalex.org/W2114147217","https://openalex.org/W2119605622","https://openalex.org/W2119885577","https://openalex.org/W2124404372","https://openalex.org/W2133714060","https://openalex.org/W2144123711","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2747602847","https://openalex.org/W2781778455","https://openalex.org/W2919115771","https://openalex.org/W4297688279","https://openalex.org/W6640083356","https://openalex.org/W6694954494"],"related_works":["https://openalex.org/W2317392152","https://openalex.org/W1528212084","https://openalex.org/W4206457185","https://openalex.org/W3106568383","https://openalex.org/W2123144113","https://openalex.org/W2060133567","https://openalex.org/W2371395629","https://openalex.org/W2163812102","https://openalex.org/W4390188912","https://openalex.org/W2761722367"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2],"deep":[3,75],"learning-based":[4],"framework":[5,21,51],"for":[6],"remote":[7,40,59],"sensing":[8,41,60],"image":[9],"registration":[10,38],"using":[11],"equivariance":[12,29],"features.":[13],"Unlike":[14],"conventional":[15,66],"methods,":[16],"the":[17,20,35,45,65,71,83,88],"networks":[18],"in":[19,34],"are":[22],"trained":[23],"on":[24,54],"not":[25],"invariance":[26],"features":[27,30],"but":[28],"since":[31],"keeping":[32],"invariancy":[33],"areas":[36],"of":[37,39,47,57],"images":[42,61],"can":[43],"reduce":[44],"accuracy":[46],"matching":[48],"results.":[49],"Our":[50],"is":[52],"tested":[53],"four":[55],"sets":[56],"KOMPSAT-3":[58],"and":[62,70],"compared":[63],"with":[64],"machine":[67],"learning":[68,76],"based":[69,74],"invariant":[72],"feature":[73],"methods.":[77,90],"The":[78],"experimental":[79],"results":[80],"show":[81],"that":[82],"proposed":[84],"approach":[85],"outperforms":[86],"all":[87],"comparing":[89]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}