{"id":"https://openalex.org/W2775749967","doi":"https://doi.org/10.1109/igarss.2017.8128202","title":"Information content in SAR images: A classification accuracy viewpoint","display_name":"Information content in SAR images: A classification accuracy viewpoint","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2775749967","doi":"https://doi.org/10.1109/igarss.2017.8128202","mag":"2775749967"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8128202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8128202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5049794257","display_name":"G. Palacio","orcid":"https://orcid.org/0000-0002-0227-8861"},"institutions":[{"id":"https://openalex.org/I15366983","display_name":"Universidad Nacional de R\u00edo Cuarto","ror":"https://ror.org/0002pcv65","country_code":"AR","type":"education","lineage":["https://openalex.org/I15366983"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"M. Gabriela Palacio","raw_affiliation_strings":["Departamento de Matem\u00e1tica, Universidad Nacional de R\u00edo Cuarto, R\u00edo Cuarto, C\u00f3rdoba, Argentina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Matem\u00e1tica, Universidad Nacional de R\u00edo Cuarto, R\u00edo Cuarto, C\u00f3rdoba, Argentina","institution_ids":["https://openalex.org/I15366983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036998706","display_name":"Susana Ferrero","orcid":"https://orcid.org/0000-0002-2533-6833"},"institutions":[{"id":"https://openalex.org/I15366983","display_name":"Universidad Nacional de R\u00edo Cuarto","ror":"https://ror.org/0002pcv65","country_code":"AR","type":"education","lineage":["https://openalex.org/I15366983"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"Susana B. Ferrero","raw_affiliation_strings":["Departamento de Matem\u00e1tica, Universidad Nacional de R\u00edo Cuarto, R\u00edo Cuarto, C\u00f3rdoba, Argentina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Matem\u00e1tica, Universidad Nacional de R\u00edo Cuarto, R\u00edo Cuarto, C\u00f3rdoba, Argentina","institution_ids":["https://openalex.org/I15366983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055912992","display_name":"Alejandro C. Frery","orcid":"https://orcid.org/0000-0002-8002-5341"},"institutions":[{"id":"https://openalex.org/I79889768","display_name":"Universidade Federal de Alagoas","ror":"https://ror.org/00dna7t83","country_code":"BR","type":"education","lineage":["https://openalex.org/I79889768"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alejandro C. Frery","raw_affiliation_strings":["Universidade Federal de Alagoas, Macei\u00f3, AL, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Alagoas, Macei\u00f3, AL, Brazil","institution_ids":["https://openalex.org/I79889768"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2619,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.96243861,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5307","last_page":"5310"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9944999814033508,"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/computer-science","display_name":"Computer science","score":0.7134764194488525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6827441453933716},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6412255764007568},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.6128381490707397},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6014266610145569},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5879433155059814},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5744138956069946},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5077036619186401},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5001876354217529},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4828663170337677},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.4594927430152893},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4097784161567688},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.387816458940506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16998949646949768}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7134764194488525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6827441453933716},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6412255764007568},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.6128381490707397},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6014266610145569},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5879433155059814},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5744138956069946},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5077036619186401},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5001876354217529},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4828663170337677},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.4594927430152893},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4097784161567688},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.387816458940506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16998949646949768},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8128202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8128202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1998857803","https://openalex.org/W2090563002","https://openalex.org/W2107290856","https://openalex.org/W2123565054","https://openalex.org/W2132012856","https://openalex.org/W2135372651","https://openalex.org/W2139212933","https://openalex.org/W2140365458","https://openalex.org/W2146585503","https://openalex.org/W2156909104","https://openalex.org/W2161357997","https://openalex.org/W2535017892"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2113052720","https://openalex.org/W2799624451","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2016481886"],"abstract_inverted_index":{"Polarimetric":[0],"Synthetic":[1],"Aperture":[2],"Radar":[3],"(PolSAR)":[4],"images":[5,16],"are":[6,97],"an":[7,62],"important":[8],"source":[9],"of":[10,33,39,71,100],"information.":[11],"Speckle":[12],"noise":[13],"gives":[14],"SAR":[15],"a":[17],"granular":[18],"appearance":[19],"that":[20],"makes":[21],"interpretation":[22],"and":[23,41,75,93],"analysis":[24],"hard":[25],"tasks.":[26],"A":[27],"major":[28],"issue":[29],"is":[30,44,61],"the":[31,55,66,69,72,76,78,83,87,98],"assessment":[32],"information":[34],"content":[35],"in":[36],"these":[37],"kind":[38],"images,":[40],"how":[42],"it":[43],"affected":[45],"by":[46],"usual":[47],"processing":[48],"techniques.":[49],"We":[50],"study":[51],"this":[52],"problem":[53],"from":[54],"classification":[56,79],"accuracy":[57],"viewpoint.":[58],"Our":[59],"input":[60],"actual":[63],"PolSAR":[64],"image,":[65],"control":[67],"parameter":[68],"size":[70],"MBPolSAR":[73],"filter,":[74],"output":[77],"precision":[80],"obtained":[81],"applying":[82],"SVM":[84],"algorithm":[85],"to":[86],"filtered":[88],"data.":[89],"Kappa,":[90],"Overall":[91],"Accuracy,":[92],"Classification":[94],"Accuracy":[95],"coefficients":[96],"measures":[99],"map":[101],"precision.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}