{"id":"https://openalex.org/W3205721550","doi":"https://doi.org/10.1109/igarss47720.2021.9553891","title":"Inter-Orbit Change Detection for High-Resolution SAR Imagery Using Conditional Siamese Network","display_name":"Inter-Orbit Change Detection for High-Resolution SAR Imagery Using Conditional Siamese Network","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3205721550","doi":"https://doi.org/10.1109/igarss47720.2021.9553891","mag":"3205721550"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","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/A5080963318","display_name":"Eiji Kaneko","orcid":"https://orcid.org/0000-0003-1840-5551"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eiji Kaneko","raw_affiliation_strings":["Data Science Research Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008605217","display_name":"Takahiro Toizumi","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Toizumi","raw_affiliation_strings":["Biometrics Research Laboratories, NEC Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biometrics Research Laboratories, NEC Corporation","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073159183","display_name":"Kazutoshi Sagi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazutoshi Sagi","raw_affiliation_strings":["Data Science Research Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066517717","display_name":"Masato Toda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masato Toda","raw_affiliation_strings":["Data Science Research Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1265,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5038847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2903","last_page":"2906"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9926000237464905,"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/subnetwork","display_name":"Subnetwork","score":0.8718721270561218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6795825362205505},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6757520437240601},{"id":"https://openalex.org/keywords/orbit","display_name":"Orbit (dynamics)","score":0.5553200840950012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5362777709960938},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.49683645367622375},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4768684506416321},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43565064668655396},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11245900392532349}],"concepts":[{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.8718721270561218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6795825362205505},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6757520437240601},{"id":"https://openalex.org/C196644772","wikidata":"https://www.wikidata.org/wiki/Q3884964","display_name":"Orbit (dynamics)","level":2,"score":0.5553200840950012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5362777709960938},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.49683645367622375},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4768684506416321},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43565064668655396},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11245900392532349},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2108501770","https://openalex.org/W2125389028","https://openalex.org/W2157364932","https://openalex.org/W2615543373","https://openalex.org/W2751993439","https://openalex.org/W2760923572","https://openalex.org/W2891248708","https://openalex.org/W6675944832","https://openalex.org/W6678815747","https://openalex.org/W6754663522"],"related_works":["https://openalex.org/W2060724872","https://openalex.org/W2082094785","https://openalex.org/W2202198356","https://openalex.org/W3087203342","https://openalex.org/W2013329914","https://openalex.org/W2392383081","https://openalex.org/W4252699458","https://openalex.org/W1618102658","https://openalex.org/W4205376403","https://openalex.org/W2331410275"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,17,25,28,89],"method":[4,23],"of":[5,69],"inter-orbit":[6],"change":[7,78],"detection":[8,79],"for":[9,84],"high-resolution":[10],"synthetic":[11],"aperture":[12],"radar":[13],"(SAR)":[14],"imagery":[15],"using":[16,93],"conditional":[18],"Siamese":[19,38],"network.":[20],"The":[21],"proposed":[22,63,107],"introduces":[24],"sub-network":[26],"with":[27,102],"condition,":[29],"which":[30,76],"is":[31,57,116],"satellite":[32],"orbit":[33,121],"information,":[34],"into":[35],"the":[36,43,46,55,62,67,74,103,106],"multitask":[37],"network":[39,64],"(MS-net).":[40],"To":[41],"introduce":[42],"conditions":[44],"effectively,":[45],"weights":[47],"sharing":[48],"in":[49,88],"one":[50],"fully-connected":[51],"layer":[52],"after":[53],"connecting":[54],"subnetwork":[56],"canceled.":[58],"These":[59],"tricks":[60],"enable":[61],"to":[65,119],"learn":[66],"absorption":[68],"layover":[70],"effects":[71],"depending":[72],"on":[73,113],"orbit,":[75],"improves":[77,109],"performance.":[80],"Experiments":[81],"were":[82],"conducted":[83],"detecting":[85],"car":[86],"changes":[87],"parking":[90],"lot":[91],"by":[92,111],"Asnaro-2":[94],"images":[95],"captured":[96],"from":[97],"five":[98],"different":[99],"orbits.":[100],"Compared":[101],"conventional":[104],"MS-net,":[105],"model":[108],"AUC-ROC":[110],"0.015":[112],"average":[114],"and":[115],"more":[117],"robust":[118],"input":[120],"combinations.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}