{"id":"https://openalex.org/W1978714166","doi":"https://doi.org/10.1109/igarss.2015.7326494","title":"SAR image compression based on sparsity","display_name":"SAR image compression based on sparsity","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1978714166","doi":"https://doi.org/10.1109/igarss.2015.7326494","mag":"1978714166"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5007372539","display_name":"Alessandra Budillon","orcid":"https://orcid.org/0000-0001-6551-7834"},"institutions":[{"id":"https://openalex.org/I183638586","display_name":"Parthenope University of Naples","ror":"https://ror.org/05pcv4v03","country_code":"IT","type":"education","lineage":["https://openalex.org/I183638586"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandra Budillon","raw_affiliation_strings":["Dipartimento di Ingegneria - Universit\u00e0 di Napoli \u201cParthenope\u201d Centro Direzionale di Napoli, Napoli, Italy","Dipartimento di Ingegneria - Universit\u00e0 di Napoli \u201cParthenope\u201d Centro Direzionale di Napoli, Isola C/4, 80143 Napoli, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria - Universit\u00e0 di Napoli \u201cParthenope\u201d Centro Direzionale di Napoli, Napoli, Italy","institution_ids":["https://openalex.org/I183638586"]},{"raw_affiliation_string":"Dipartimento di Ingegneria - Universit\u00e0 di Napoli \u201cParthenope\u201d Centro Direzionale di Napoli, Isola C/4, 80143 Napoli, Italy","institution_ids":["https://openalex.org/I183638586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029031588","display_name":"Gilda Schirinzi","orcid":"https://orcid.org/0000-0002-9656-2969"},"institutions":[{"id":"https://openalex.org/I183638586","display_name":"Parthenope University of Naples","ror":"https://ror.org/05pcv4v03","country_code":"IT","type":"education","lineage":["https://openalex.org/I183638586"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gilda Schirinzi","raw_affiliation_strings":["Dipartimento di Ingegneria - Universit\u00e0 di Napoli \u201cParthenope\u201d Centro Direzionale di Napoli, Napoli, Italy","Dipartimento di Ingegneria - Universit\u00e0 di Napoli \u201cParthenope\u201d Centro Direzionale di Napoli, Isola C/4, 80143 Napoli, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria - Universit\u00e0 di Napoli \u201cParthenope\u201d Centro Direzionale di Napoli, Napoli, Italy","institution_ids":["https://openalex.org/I183638586"]},{"raw_affiliation_string":"Dipartimento di Ingegneria - Universit\u00e0 di Napoli \u201cParthenope\u201d Centro Direzionale di Napoli, Isola C/4, 80143 Napoli, Italy","institution_ids":["https://openalex.org/I183638586"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04704684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"3183","last_page":"3186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9993000030517578,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6332547664642334},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6295322179794312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6066285967826843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5949594974517822},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5841678380966187},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.584140956401825},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5555093884468079},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.492397665977478},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4854000508785248},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.443853497505188},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.4234831929206848},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42006421089172363},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4136776924133301},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4100016951560974},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4013248085975647},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3276899456977844},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2810441851615906}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6332547664642334},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6295322179794312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6066285967826843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5949594974517822},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5841678380966187},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.584140956401825},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5555093884468079},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.492397665977478},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4854000508785248},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.443853497505188},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.4234831929206848},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42006421089172363},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4136776924133301},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4100016951560974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4013248085975647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3276899456977844},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2810441851615906},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2015.7326494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:ricerca.uniparthenope.it:11367/56514","is_oa":false,"landing_page_url":"http://hdl.handle.net/11367/56514","pdf_url":null,"source":{"id":"https://openalex.org/S4377196432","display_name":"CINECA IRIS Institutial research information system (Parthenope University of Naples)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183638586","host_organization_name":"Parthenope University of Naples","host_organization_lineage":["https://openalex.org/I183638586"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1788696583","https://openalex.org/W1967483773","https://openalex.org/W1976318178","https://openalex.org/W1999728008","https://openalex.org/W2035243016","https://openalex.org/W2048916503","https://openalex.org/W2063522293","https://openalex.org/W2112123914","https://openalex.org/W2118016489","https://openalex.org/W2119667497","https://openalex.org/W2120991191","https://openalex.org/W2121468172","https://openalex.org/W2130271927","https://openalex.org/W2132874190","https://openalex.org/W2142280715","https://openalex.org/W2158962363","https://openalex.org/W2160411214","https://openalex.org/W2186435531"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W2998105788","https://openalex.org/W4205656132","https://openalex.org/W2111634407","https://openalex.org/W3004790527","https://openalex.org/W2203155458","https://openalex.org/W2783282829","https://openalex.org/W2138494306","https://openalex.org/W2579633471"],"abstract_inverted_index":{"In":[0,40],"this":[1],"paper":[2],"we":[3],"investigate":[4],"SAR":[5,84],"image":[6,85],"compression":[7],"based":[8,20,35],"on":[9,21,36,97],"sparse":[10,50],"representation.":[11],"Two":[12],"approaches":[13],"are":[14,63,92,100],"considered:":[15],"the":[16,22,31,55,58,73,83],"first":[17,56],"one":[18,33],"is":[19,34,47],"use":[23],"of":[24,79],"an":[25,43,66],"Overcomplete":[26,44],"ICA":[27,45,61],"transform":[28],"coding":[29],"method,":[30],"second":[32],"Compressive":[37],"Sensing":[38],"(CS).":[39],"both":[41],"cases":[42],"representation":[46],"used":[48],"as":[49],"representation,":[51],"but":[52],"while":[53],"in":[54,72],"case":[57,75],"significant":[59],"overcomplete":[60],"coefficients":[62],"coded":[64],"using":[65],"optimal":[67],"entropy":[68],"constrained":[69],"threshold":[70],"quantizer,":[71],"latter":[74],"a":[76,88],"reduced":[77],"number":[78],"measurements":[80],"obtained":[81],"combining":[82],"pixels":[86],"through":[87],"random":[89],"measurement":[90],"matrix":[91],"directly":[93],"coded.":[94],"Numerical":[95],"results":[96],"TerraSAR-X":[98],"images":[99],"presented.":[101]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}