{"id":"https://openalex.org/W2152402903","doi":"https://doi.org/10.1109/igarss.2011.6050056","title":"ISAR image sequence based Automatic Target Recognition by using a Multi-Frame Marked Point Process model","display_name":"ISAR image sequence based Automatic Target Recognition by using a Multi-Frame Marked Point Process model","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2152402903","doi":"https://doi.org/10.1109/igarss.2011.6050056","mag":"2152402903"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2011.6050056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6050056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.sztaki.hu/6148/1/benedekIGARSS11.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044638075","display_name":"Csaba Benedek","orcid":"https://orcid.org/0000-0003-3203-0741"},"institutions":[{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Csaba Benedek","raw_affiliation_strings":["Computer and Automation Research Institute, Distributed Events Analysis Research Group, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Computer and Automation Research Institute, Distributed Events Analysis Research Group, Budapest, Hungary","institution_ids":["https://openalex.org/I4210117195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031990101","display_name":"Marco Martorella","orcid":"https://orcid.org/0000-0002-8985-5069"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Martorella","raw_affiliation_strings":["Department of Information Engineering, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044638075"],"corresponding_institution_ids":["https://openalex.org/I4210117195"],"apc_list":null,"apc_paid":null,"fwci":16.128,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.98681748,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3791","last_page":"3794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9994000196456909,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9994000196456909,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9983999729156494,"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.9277417659759521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7424503564834595},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7303672432899475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7188352346420288},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5658137798309326},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5517532229423523},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.550749659538269},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5338785648345947},{"id":"https://openalex.org/keywords/point-target","display_name":"Point target","score":0.5156396627426147},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.48196670413017273},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.47283726930618286},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4347125291824341},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.430880606174469},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4286406934261322},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4107676148414612},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40876367688179016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33067697286605835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1300247609615326}],"concepts":[{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.9277417659759521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7424503564834595},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7303672432899475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7188352346420288},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5658137798309326},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5517532229423523},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.550749659538269},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5338785648345947},{"id":"https://openalex.org/C2778999744","wikidata":"https://www.wikidata.org/wiki/Q7208292","display_name":"Point target","level":3,"score":0.5156396627426147},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.48196670413017273},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.47283726930618286},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4347125291824341},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.430880606174469},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4286406934261322},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4107676148414612},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40876367688179016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33067697286605835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1300247609615326},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/igarss.2011.6050056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6050056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.sztaki.hu:6148","is_oa":true,"landing_page_url":"http://eprints.sztaki.hu/6148/","pdf_url":"https://eprints.sztaki.hu/6148/1/benedekIGARSS11.pdf","source":{"id":"https://openalex.org/S4306401907","display_name":"SZTAKI Publication Repository (Hungarian Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I7597260","host_organization_name":"Hungarian Academy of Sciences","host_organization_lineage":["https://openalex.org/I7597260"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/05eb46c8-d76e-4462-80cc-f9f2dce89a0e","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/05eb46c8-d76e-4462-80cc-f9f2dce89a0e","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Benedek, C & Martorella, M 2011, ISAR image sequence based automatic target recognition by using a multi-frame marked point process model. in 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings., 6050056, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3791-3794, 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011, Vancouver, BC, Canada, 24/07/11. https://doi.org/10.1109/IGARSS.2011.6050056","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:eprints.sztaki.hu:6148","is_oa":true,"landing_page_url":"http://eprints.sztaki.hu/6148/","pdf_url":"https://eprints.sztaki.hu/6148/1/benedekIGARSS11.pdf","source":{"id":"https://openalex.org/S4306401907","display_name":"SZTAKI Publication Repository (Hungarian Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I7597260","host_organization_name":"Hungarian Academy of Sciences","host_organization_lineage":["https://openalex.org/I7597260"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2152402903.pdf","grobid_xml":"https://content.openalex.org/works/W2152402903.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W2008633406","https://openalex.org/W2034503428","https://openalex.org/W2056834257","https://openalex.org/W2104543362","https://openalex.org/W2125856058","https://openalex.org/W2135510656","https://openalex.org/W2146065092","https://openalex.org/W2537381897","https://openalex.org/W3145175200"],"related_works":["https://openalex.org/W3137365474","https://openalex.org/W2886347302","https://openalex.org/W2784759481","https://openalex.org/W1545594509","https://openalex.org/W3038591045","https://openalex.org/W3130755980","https://openalex.org/W1988723959","https://openalex.org/W2053024573","https://openalex.org/W2887270943","https://openalex.org/W3039343861"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,33],"propose":[4],"a":[5,65],"Multi-frame":[6],"Marked":[7],"Point":[8],"Process":[9],"model":[10],"for":[11],"automatic":[12],"target":[13,37,58,76],"detection":[14,69],"and":[15,51],"tracking":[16],"in":[17,60],"Inverse":[18],"Synthetic":[19],"Aperture":[20],"Radar":[21],"(ISAR)":[22],"image":[23,49,85],"sequences.":[24],"For":[25],"purposes":[26],"of":[27,87],"dealing":[28],"with":[29],"high":[30],"ISAR":[31,84],"noise,":[32],"obtain":[34],"the":[35,47,57,61,75],"optimal":[36],"sequence":[38],"by":[39],"an":[40],"energy":[41],"minimization":[42],"process,":[43],"which":[44],"simultaneously":[45],"considers":[46],"observed":[48],"data":[50],"prior":[52],"geometric":[53],"interaction":[54],"constraints":[55],"between":[56],"appearances":[59],"consecutive":[62],"frames.":[63],"Finally,":[64],"robust":[66],"permanent":[67],"scatterer":[68],"step":[70],"is":[71,80],"introduced":[72],"to":[73],"support":[74],"identification":[77],"process.":[78],"Evaluation":[79],"performed":[81],"on":[82],"real":[83],"sequences":[86],"ship":[88],"targets.":[89]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}