{"id":"https://openalex.org/W2157833390","doi":"https://doi.org/10.1109/cvprw.2011.5981727","title":"Robust control point detection for aerial synthetic aperture radar via a logarithmic quasi-random scale space framework","display_name":"Robust control point detection for aerial synthetic aperture radar via a logarithmic quasi-random scale space framework","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2157833390","doi":"https://doi.org/10.1109/cvprw.2011.5981727","mag":"2157833390"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2011.5981727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","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/A5034161060","display_name":"Alexander Wong","orcid":"https://orcid.org/0000-0002-5295-2797"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Alexander Wong","raw_affiliation_strings":["University of Waterloo, Waterloo, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5034161060"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11625835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9980999827384949,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9955999851226807,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.8325158357620239},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.6236146092414856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.570862889289856},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5300029516220093},{"id":"https://openalex.org/keywords/control-point","display_name":"Control point","score":0.48767220973968506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48478907346725464},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.4779253602027893},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4482036232948303},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4423111379146576},{"id":"https://openalex.org/keywords/point-target","display_name":"Point target","score":0.43733322620391846},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.429049015045166},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42499709129333496},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.4217681288719177},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3718079924583435},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36971545219421387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35558652877807617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24834400415420532},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.15027624368667603},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14664596319198608},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1331239640712738},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08853527903556824}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8325158357620239},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.6236146092414856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.570862889289856},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5300029516220093},{"id":"https://openalex.org/C2777774050","wikidata":"https://www.wikidata.org/wiki/Q16945110","display_name":"Control point","level":2,"score":0.48767220973968506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48478907346725464},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.4779253602027893},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4482036232948303},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4423111379146576},{"id":"https://openalex.org/C2778999744","wikidata":"https://www.wikidata.org/wiki/Q7208292","display_name":"Point target","level":3,"score":0.43733322620391846},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.429049015045166},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42499709129333496},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.4217681288719177},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3718079924583435},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36971545219421387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35558652877807617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24834400415420532},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.15027624368667603},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14664596319198608},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1331239640712738},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08853527903556824},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2011.5981727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.550000011920929,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W134872578","https://openalex.org/W1581825006","https://openalex.org/W1970393892","https://openalex.org/W2020554914","https://openalex.org/W2042925520","https://openalex.org/W2099046646","https://openalex.org/W2109200236","https://openalex.org/W2109571953","https://openalex.org/W2119747362","https://openalex.org/W2124386111","https://openalex.org/W2132332894","https://openalex.org/W2133243393","https://openalex.org/W2136811977","https://openalex.org/W2150134853","https://openalex.org/W2152306906","https://openalex.org/W2152696177","https://openalex.org/W2172188317","https://openalex.org/W6605458310","https://openalex.org/W6635071983","https://openalex.org/W6679464189","https://openalex.org/W6682761352"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W136674370","https://openalex.org/W2559403121","https://openalex.org/W2142374187","https://openalex.org/W1541416040","https://openalex.org/W2329685576","https://openalex.org/W4319782579","https://openalex.org/W2157833390"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,38,62],"novel":[4],"multi-scale":[5],"method":[6],"for":[7,85],"robustly":[8],"detecting":[9],"control":[10,49,57,90,99],"points":[11,58,91],"from":[12],"aerial":[13,31,75,93],"synthetic":[14],"aperture":[15],"radar":[16],"(SAR)":[17],"data":[18,33,77,95],"is":[19,27,42],"proposed.":[20],"A":[21],"logarithmic":[22],"quasi-random":[23],"scale":[24,46],"space":[25],"framework":[26],"designed":[28],"to":[29,47,97],"decompose":[30],"SAR":[32,76,94],"into":[34],"different":[35],"scales,":[36],"and":[37],"second-order":[39],"moment":[40],"analysis":[41,67],"performed":[43],"at":[44],"each":[45],"isolate":[48],"point":[50,100],"candidates.":[51],"Finally,":[52],"the":[53,79,82],"final":[54],"set":[55],"of":[56,81],"are":[59],"determined":[60],"via":[61],"local":[63],"Hessian":[64],"trace":[65],"extrema":[66],"across":[68],"all":[69],"scales.":[70],"Preliminary":[71],"results":[72],"using":[73],"AIRSAR":[74],"demonstrate":[78],"effectiveness":[80],"proposed":[83],"approach":[84],"automatically":[86],"identifying":[87],"semantically":[88],"important":[89],"in":[92],"compared":[96],"existing":[98],"detection":[101],"approaches.":[102]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
