{"id":"https://openalex.org/W2793715399","doi":"https://doi.org/10.1109/ipta.2017.8310132","title":"Digital spotlighting parameter evaluation for SAR imaging","display_name":"Digital spotlighting parameter evaluation for SAR imaging","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2793715399","doi":"https://doi.org/10.1109/ipta.2017.8310132","mag":"2793715399"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2017.8310132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2017.8310132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","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/A5020455103","display_name":"Eric J. Balster","orcid":"https://orcid.org/0000-0002-3855-598X"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eric J. Balster","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Dayton, Dayton, OH"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Dayton, Dayton, OH","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050549971","display_name":"David B. Mundy","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David B. Mundy","raw_affiliation_strings":["University of Dayton Research Institute, Dayton, OH"],"affiliations":[{"raw_affiliation_string":"University of Dayton Research Institute, Dayton, OH","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047072566","display_name":"Andrew M. Kordik","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew M. Kordik","raw_affiliation_strings":["University of Dayton Research Institute, Dayton, OH"],"affiliations":[{"raw_affiliation_string":"University of Dayton Research Institute, Dayton, OH","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024104710","display_name":"Kerry L. Hill","orcid":null},"institutions":[{"id":"https://openalex.org/I2799950915","display_name":"Wright-Patterson Air Force Base","ror":"https://ror.org/0097e1k27","country_code":"US","type":"other","lineage":["https://openalex.org/I1330347796","https://openalex.org/I2799950915","https://openalex.org/I4210089612","https://openalex.org/I4210102105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kerry L. Hill","raw_affiliation_strings":["US Air Force Research Laboratory Wright-Patterson, Air Force Base, OH"],"affiliations":[{"raw_affiliation_string":"US Air Force Research Laboratory Wright-Patterson, Air Force Base, OH","institution_ids":["https://openalex.org/I2799950915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020455103"],"corresponding_institution_ids":["https://openalex.org/I127591826"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12420931,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9993000030517578,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9993000030517578,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9987999796867371,"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/decimation","display_name":"Decimation","score":0.9014096260070801},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6969528198242188},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6336038112640381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6191142201423645},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.5132865309715271},{"id":"https://openalex.org/keywords/low-pass-filter","display_name":"Low-pass filter","score":0.4971981346607208},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.49695637822151184},{"id":"https://openalex.org/keywords/cascaded-integrator\u2013comb-filter","display_name":"Cascaded integrator\u2013comb filter","score":0.4498828053474426},{"id":"https://openalex.org/keywords/root-raised-cosine-filter","display_name":"Root-raised-cosine filter","score":0.4452800750732422},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.4444708228111267},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4295504093170166},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.4287908673286438},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.4243481755256653},{"id":"https://openalex.org/keywords/high-pass-filter","display_name":"High-pass filter","score":0.42143672704696655},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4211616516113281},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3782253861427307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3650193512439728},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3354288637638092},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2822585999965668},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15078961849212646},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14558404684066772},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10353463888168335}],"concepts":[{"id":"https://openalex.org/C173642442","wikidata":"https://www.wikidata.org/wiki/Q1253346","display_name":"Decimation","level":3,"score":0.9014096260070801},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6969528198242188},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6336038112640381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6191142201423645},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.5132865309715271},{"id":"https://openalex.org/C44682112","wikidata":"https://www.wikidata.org/wiki/Q918242","display_name":"Low-pass filter","level":3,"score":0.4971981346607208},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.49695637822151184},{"id":"https://openalex.org/C185455795","wikidata":"https://www.wikidata.org/wiki/Q1046877","display_name":"Cascaded integrator\u2013comb filter","level":5,"score":0.4498828053474426},{"id":"https://openalex.org/C76826599","wikidata":"https://www.wikidata.org/wiki/Q1248611","display_name":"Root-raised-cosine filter","level":4,"score":0.4452800750732422},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.4444708228111267},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4295504093170166},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.4287908673286438},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.4243481755256653},{"id":"https://openalex.org/C156137958","wikidata":"https://www.wikidata.org/wiki/Q262754","display_name":"High-pass filter","level":4,"score":0.42143672704696655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4211616516113281},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3782253861427307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3650193512439728},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3354288637638092},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2822585999965668},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15078961849212646},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14558404684066772},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10353463888168335}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2017.8310132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2017.8310132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1510539975","https://openalex.org/W1602638673","https://openalex.org/W1964092200","https://openalex.org/W2108991570","https://openalex.org/W2118737799","https://openalex.org/W2133665775","https://openalex.org/W2146224786","https://openalex.org/W2161993991","https://openalex.org/W2163652708","https://openalex.org/W2594255766"],"related_works":["https://openalex.org/W2405905509","https://openalex.org/W2187820340","https://openalex.org/W3082349533","https://openalex.org/W3170745555","https://openalex.org/W2291646903","https://openalex.org/W2898554372","https://openalex.org/W2184798135","https://openalex.org/W2366249720","https://openalex.org/W2905964144","https://openalex.org/W2112727623"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,67,80,90],"synthetic":[4],"aperture":[5],"radar":[6],"(SAR)":[7],"image":[8,53,77],"formation":[9],"simulator":[10],"is":[11,99],"used":[12,36],"to":[13,51],"objectively":[14],"evaluate":[15],"parameter":[16],"selection":[17],"within":[18,44],"the":[19,26,33,38,45,75],"digital":[20,46],"spotlighting":[21,47],"process.":[22],"Specifically,":[23],"recommendations":[24],"for":[25],"filter":[27,30,65,84,94],"type":[28],"and":[29,40,55,86,96],"order":[31],"of":[32,83],"low-pass":[34,64],"filters":[35],"in":[37],"range":[39,82],"azimuth":[41],"decimation":[42,87,97],"processes":[43],"algorithm":[48],"are":[49],"determined":[50],"maximize":[52],"quality":[54,78],"minimize":[56],"computational":[57],"cost.":[58],"Results":[59],"show":[60],"that":[61],"an":[62],"FIR":[63],"with":[66],"Taylor":[68],"(n":[69],"=":[70],"5)":[71],"window":[72],"applied":[73],"provides":[74],"highest":[76],"over":[79],"wide":[81],"orders":[85],"factors.":[88],"Additionally,":[89],"linear":[91],"relationship":[92],"between":[93],"length":[95],"factor":[98],"found.":[100]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}