{"id":"https://openalex.org/W2062644379","doi":"https://doi.org/10.1109/globalsip.2014.7032134","title":"2-D linear predictive compression of complex synthetic aperture radar (SAR) images","display_name":"2-D linear predictive compression of complex synthetic aperture radar (SAR) images","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2062644379","doi":"https://doi.org/10.1109/globalsip.2014.7032134","mag":"2062644379"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2014.7032134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5030624327","display_name":"S.L. Marple","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S. Lawrence Marple","raw_affiliation_strings":["Signal Research, Depoe Bay, Oregon, USA","Signal Research Depoe Bay, Oregon, USA"],"affiliations":[{"raw_affiliation_string":"Signal Research, Depoe Bay, Oregon, USA","institution_ids":[]},{"raw_affiliation_string":"Signal Research Depoe Bay, Oregon, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5030624327"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07765542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"336","last_page":"339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.8105725049972534},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.7464666962623596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6574569940567017},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5599441528320312},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.540067195892334},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5382594466209412},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.5379270911216736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5232871174812317},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.46780088543891907},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.45501840114593506},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.4403202533721924},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43230772018432617},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4316737949848175},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3793790638446808},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16071614623069763},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0793667733669281},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0764378011226654}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8105725049972534},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.7464666962623596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6574569940567017},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5599441528320312},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.540067195892334},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5382594466209412},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.5379270911216736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5232871174812317},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.46780088543891907},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.45501840114593506},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.4403202533721924},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43230772018432617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4316737949848175},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3793790638446808},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16071614623069763},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0793667733669281},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0764378011226654},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2014.7032134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7200000286102295,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2073630772","https://openalex.org/W2106515821","https://openalex.org/W2142719944"],"related_works":["https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W1994788526","https://openalex.org/W1915418828","https://openalex.org/W2613451563","https://openalex.org/W1966299760","https://openalex.org/W2150075356","https://openalex.org/W2007886977"],"abstract_inverted_index":{"Current":[0],"compression":[1,46],"of":[2],"complex":[3,33,44],"SAR":[4,34],"imagery":[5],"uses":[6],"line-by-line":[7],"1-D":[8,48,71],"linear":[9,26,60,64],"prediction":[10,27,61],"which":[11,29],"can":[12,30],"cause":[13],"discontinuities":[14],"during":[15],"reconstruction":[16],"between":[17],"lines.":[18],"This":[19],"paper":[20],"introduces":[21],"computationally":[22],"fast":[23],"full":[24],"2-D":[25,59],"techniques":[28],"process":[31],"entire":[32],"images":[35],"(or":[36],"sub-images)":[37],"with":[38,70],"another":[39],"10X":[40],"factor":[41],"improvement":[42],"in":[43],"data":[45],"over":[47],"techniques,":[49],"while":[50],"yielding":[51],"better":[52],"weak":[53],"target":[54,66],"and":[55],"shadow":[56],"area":[57],"preservation.":[58],"also":[62],"compresses":[63],"extent":[65],"features":[67],"not":[68],"possible":[69],"algorithms.":[72]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}