{"id":"https://openalex.org/W4387802652","doi":"https://doi.org/10.1109/igarss52108.2023.10281706","title":"Development of Generalized Machine Learning Model to Classify PolSAR Data","display_name":"Development of Generalized Machine Learning Model to Classify PolSAR Data","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387802652","doi":"https://doi.org/10.1109/igarss52108.2023.10281706"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10281706","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","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/A5058118074","display_name":"Varsha Turkar","orcid":"https://orcid.org/0000-0002-0225-0498"},"institutions":[{"id":"https://openalex.org/I169877490","display_name":"University of Mumbai","ror":"https://ror.org/032hdk172","country_code":"IN","type":"education","lineage":["https://openalex.org/I169877490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Varsha Turkar","raw_affiliation_strings":["University of Mumbai,Vidyalakar Institute of Technology,Maharashtra,India","Vidyalakar Institute of Technology, University of Mumbai, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Mumbai,Vidyalakar Institute of Technology,Maharashtra,India","institution_ids":["https://openalex.org/I169877490"]},{"raw_affiliation_string":"Vidyalakar Institute of Technology, University of Mumbai, Maharashtra, India","institution_ids":["https://openalex.org/I169877490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086746644","display_name":"Akhil Masurkar","orcid":"https://orcid.org/0000-0001-6797-4086"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akhil Masurkar","raw_affiliation_strings":["Veermata Jijabai Technological Institute,Mumbai,Maharashtra,India","Veermata Jijabai Technological Institute, Mumbai, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Veermata Jijabai Technological Institute,Mumbai,Maharashtra,India","institution_ids":[]},{"raw_affiliation_string":"Veermata Jijabai Technological Institute, Mumbai, Maharashtra, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022247968","display_name":"Anup Das","orcid":"https://orcid.org/0000-0002-5024-5159"},"institutions":[{"id":"https://openalex.org/I1289461252","display_name":"Indian Space Research Organisation","ror":"https://ror.org/00cwrns71","country_code":"IN","type":"government","lineage":["https://openalex.org/I1289461252","https://openalex.org/I3148377317"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anup Das","raw_affiliation_strings":["Space Application Centre, ISRO,Dept. of Space, Govt. of India,Ahmedabad,India","Dept. of Space, Govt. of India, Space Application Centre, ISRO, Ahmedabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space Application Centre, ISRO,Dept. of Space, Govt. of India,Ahmedabad,India","institution_ids":["https://openalex.org/I1289461252"]},{"raw_affiliation_string":"Dept. of Space, Govt. of India, Space Application Centre, ISRO, Ahmedabad, India","institution_ids":["https://openalex.org/I1289461252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015094108","display_name":"Rohin Daruwala","orcid":"https://orcid.org/0000-0002-3267-6270"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rohin Daruwala","raw_affiliation_strings":["Veermata Jijabai Technological Institute,Mumbai,Maharashtra,India","Veermata Jijabai Technological Institute, Mumbai, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Veermata Jijabai Technological Institute,Mumbai,Maharashtra,India","institution_ids":[]},{"raw_affiliation_string":"Veermata Jijabai Technological Institute, Mumbai, Maharashtra, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.20849247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"70","issue":null,"first_page":"7475","last_page":"7478"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6718325018882751},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6417256593704224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6112772822380066},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.567882776260376},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5586806535720825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5264915823936462},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.49184298515319824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4760144352912903},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44326433539390564},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4113697111606598},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34880757331848145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3292556405067444},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.30515795946121216},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.26568323373794556},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11049145460128784}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6718325018882751},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6417256593704224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6112772822380066},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.567882776260376},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5586806535720825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5264915823936462},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.49184298515319824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4760144352912903},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44326433539390564},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4113697111606598},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34880757331848145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3292556405067444},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.30515795946121216},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.26568323373794556},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11049145460128784},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10281706","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1563088657","https://openalex.org/W1985759099","https://openalex.org/W2087347434","https://openalex.org/W2100615056","https://openalex.org/W2135279741","https://openalex.org/W2166960586","https://openalex.org/W2956041202","https://openalex.org/W4281259425","https://openalex.org/W4294366535"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W2020734820","https://openalex.org/W4210966920","https://openalex.org/W2156233651","https://openalex.org/W2550009779","https://openalex.org/W2043913960"],"abstract_inverted_index":{"In":[0,111],"recent":[1],"times,":[2],"Polarimetric":[3],"Synthetic":[4],"Aperture":[5],"Radar":[6],"(PolSAR)":[7],"data":[8,23,41,125],"is":[9,24,75,82,119,142,149,162,176],"available":[10,25,55],"free":[11],"of":[12,131],"cost":[13],"due":[14],"to":[15,38,56,85],"missions":[16],"like":[17,105],"UAVSAR":[18],"and":[19,60,79,153,158],"Sentinel.":[20],"As":[21],"ample":[22],"the":[26,50,58,62,70,124,135,165],"applications":[27],"are":[28],"infinite.":[29],"Till":[30],"today":[31],"many":[32],"researchers":[33],"have":[34,44],"developed":[35],"various":[36,102],"techniques":[37,47],"classify":[39,92,123],"PolSAR":[40],"efficiently.":[42],"They":[43],"proposed":[45,120],"classification":[46,166],"for":[48,64,72,101,134,155,168],"which":[49,90,121],"ground":[51],"truth":[52],"should":[53],"be":[54],"train":[57],"classifier":[59,71,141,148],"validate":[61],"results":[63],"a":[65,76,83,87,98,114],"particular":[66],"geographic":[67],"area.":[68],"Training":[69],"each":[73],"area":[74,95,133],"time-consuming":[77],"task":[78],"hence":[80],"there":[81],"need":[84],"develop":[86],"generalized":[88,115],"model":[89,118],"can":[91,122],"any":[93],"geographical":[94,132],"acquired":[96,126],"from":[97,127],"specific":[99],"sensor":[100],"land-cover":[103],"features":[104],"water,":[106],"settlement,":[107],"forest,":[108],"wetlands":[109],"etc.":[110],"this":[112,145],"paper":[113],"machine":[116],"learning":[117],"ALOS-PALSAR-2":[128],"L-band,":[129],"irrespective":[130],"same":[136],"land":[137],"cover":[138],"features.":[139],"ANN":[140],"used":[143],"in":[144],"work.":[146],"The":[147],"trained":[150],"using":[151],"Mumbai":[152],"tested":[154],"San":[156,169],"Francisco":[157,170],"Delhi":[159,175],"data.":[160],"It":[161],"observed":[163],"that":[164],"accuracy":[167],"as":[171,173],"well":[172],"New":[174],"high.":[177]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}