{"id":"https://openalex.org/W1964715579","doi":"https://doi.org/10.1109/igarss.2015.7326737","title":"CO-POLAR SAR data classification as a tool for real time paddy-rice monitoring","display_name":"CO-POLAR SAR data classification as a tool for real time paddy-rice monitoring","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1964715579","doi":"https://doi.org/10.1109/igarss.2015.7326737","mag":"1964715579"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326737","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/A5003785431","display_name":"\u00c7a\u011flar K\u00fc\u00e7\u00fck","orcid":"https://orcid.org/0000-0002-9897-9063"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Caglar Kucuk","raw_affiliation_strings":["Informatics Institute, Istanbul Technical University (ITU), Istanbul, Turkey","Informatics Institute, Istanbul Technical University (ITU), TR-34469 Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Informatics Institute, Istanbul Technical University (ITU), Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]},{"raw_affiliation_string":"Informatics Institute, Istanbul Technical University (ITU), TR-34469 Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058660643","display_name":"G\u00fcl\u015fen Ta\u015fk\u0131n","orcid":"https://orcid.org/0000-0002-2294-4462"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gulsen Taskin Kaya","raw_affiliation_strings":["ITU, Institute of Earthquake Engineering and Disaster Management, Istanbul, Turkey","Institute of Earthquake Engineering and Disaster Management, ITU, TR-34469 Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITU, Institute of Earthquake Engineering and Disaster Management, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]},{"raw_affiliation_string":"Institute of Earthquake Engineering and Disaster Management, ITU, TR-34469 Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003388985","display_name":"Esra Erten","orcid":"https://orcid.org/0000-0002-4208-7170"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Esra Erten","raw_affiliation_strings":["Faculty of Civil Engineering, Istanbul Technical University, Istanbul, Turkey","Faculty of Civil Engineering, Istanbul Technical University, TR-34469 Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Civil Engineering, Istanbul Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]},{"raw_affiliation_string":"Faculty of Civil Engineering, Istanbul Technical University, TR-34469 Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":19.2656,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98690977,"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":"4141","last_page":"4144"},"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":0.9976999759674072,"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":0.9976999759674072,"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":0.9957000017166138,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9883000254631042,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7640536427497864},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6230716109275818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6061918139457703},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5939621329307556},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5464602112770081},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5083844065666199},{"id":"https://openalex.org/keywords/backscatter","display_name":"Backscatter (email)","score":0.4863041341304779},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4729437828063965},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4473339319229126},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4137142300605774},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38160815834999084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36467084288597107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34625348448753357},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11227771639823914},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10596343874931335},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08622679114341736}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7640536427497864},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6230716109275818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6061918139457703},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5939621329307556},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5464602112770081},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5083844065666199},{"id":"https://openalex.org/C30354325","wikidata":"https://www.wikidata.org/wiki/Q204667","display_name":"Backscatter (email)","level":3,"score":0.4863041341304779},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4729437828063965},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4473339319229126},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4137142300605774},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38160815834999084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36467084288597107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34625348448753357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11227771639823914},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10596343874931335},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08622679114341736},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2015.7326737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326737","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:polen.itu.edu.tr:11527/45923","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/45923","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"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":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.7400000095367432,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1640245986","https://openalex.org/W2010738583","https://openalex.org/W2036282733","https://openalex.org/W2076335508","https://openalex.org/W2090272134","https://openalex.org/W2096483002","https://openalex.org/W2136454596","https://openalex.org/W2138608170","https://openalex.org/W2149706766","https://openalex.org/W2169384781","https://openalex.org/W2757989048","https://openalex.org/W4236137412","https://openalex.org/W4238530616"],"related_works":["https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052","https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4224922629","https://openalex.org/W4321636153"],"abstract_inverted_index":{"The":[0],"crop":[1,76],"phenology":[2],"retrieval":[3],"on":[4,17,49,83],"precision":[5],"agriculture":[6],"has":[7],"been":[8],"an":[9],"important":[10],"research":[11],"area":[12],"with":[13,97],"the":[14,38,46,54,68,71,75,84,91,98],"increasing":[15],"demand":[16],"crops.":[18],"Remotely":[19],"sensed":[20],"Synthetic":[21],"Aperture":[22],"Radar":[23],"(SAR)":[24],"data":[25,85],"provides":[26],"a":[27,78],"simple":[28],"possibility":[29],"for":[30,73],"automatic":[31],"monitoring":[32,42,74],"of":[33,45,53,66,70],"agricultural":[34],"fields":[35],"due":[36],"to":[37],"its":[39],"inherit":[40],"all-weather":[41],"capability.":[43],"Most":[44],"studies":[47],"rely":[48],"morphology":[50],"based":[51],"modelling":[52,67],"electromagnetic":[55],"backscattering":[56,69,95],"which":[57,102],"requires":[58],"Monte":[59],"Carlo":[60],"simulations.":[61],"In":[62],"this":[63],"paper,":[64],"instead":[65],"signals":[72],"fields,":[77],"classification":[79],"scheme":[80],"was":[81],"implemented":[82],"acquired":[86],"by":[87,89],"TerraSAR-X":[88],"using":[90],"features":[92],"extracted":[93],"from":[94],"coefficients":[96],"machine":[99],"learning":[100],"algorithms":[101],"are":[103],"Support":[104],"Vector":[105],"Machines,":[106],"k-Nearest":[107],"Neighbor":[108],"and":[109],"Regression":[110],"Tree.":[111]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}