{"id":"https://openalex.org/W2065863447","doi":"https://doi.org/10.1109/igarss.2015.7326565","title":"Curvelet based feature extraction of dynamic ice from SAR imagery","display_name":"Curvelet based feature extraction of dynamic ice from SAR imagery","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2065863447","doi":"https://doi.org/10.1109/igarss.2015.7326565","mag":"2065863447"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326565","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":"conference-paper","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/A5009532096","display_name":"Jiange Liu","orcid":"https://orcid.org/0000-0003-4933-9219"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Jiange Liu","raw_affiliation_strings":["Department of Automation, Northwestern Polytechnical University, China","Department of Systems Design Engineering, University of Waterloo, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Department of Systems Design Engineering, University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083200788","display_name":"K. Andrea Scott","orcid":"https://orcid.org/0000-0003-3922-8777"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"K. Andrea Scott","raw_affiliation_strings":["Department of Systems Design Engineering, University of Waterloo, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Design Engineering, University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078015739","display_name":"Paul Fieguth","orcid":"https://orcid.org/0000-0001-7260-2260"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Paul Fieguth","raw_affiliation_strings":["Department of Systems Design Engineering, University of Waterloo, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Design Engineering, University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3121,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84619342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3462","last_page":"3465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11459","display_name":"Arctic and Antarctic ice dynamics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11459","display_name":"Arctic and Antarctic ice dynamics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11333","display_name":"Climate change and permafrost","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"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":0.721377432346344},{"id":"https://openalex.org/keywords/curvelet","display_name":"Curvelet","score":0.6967215538024902},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.687556266784668},{"id":"https://openalex.org/keywords/sea-ice","display_name":"Sea ice","score":0.6381846070289612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.635575532913208},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6135461330413818},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.5858010649681091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5069122910499573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4979584217071533},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.477815181016922},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3634752035140991},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.1581133008003235},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.0980488657951355},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.06386226415634155}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.721377432346344},{"id":"https://openalex.org/C131720326","wikidata":"https://www.wikidata.org/wiki/Q5196075","display_name":"Curvelet","level":4,"score":0.6967215538024902},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.687556266784668},{"id":"https://openalex.org/C136894858","wikidata":"https://www.wikidata.org/wiki/Q213926","display_name":"Sea ice","level":2,"score":0.6381846070289612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.635575532913208},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6135461330413818},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5858010649681091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5069122910499573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4979584217071533},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.477815181016922},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3634752035140991},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.1581133008003235},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0980488657951355},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.06386226415634155},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7326565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326565","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1485280399","https://openalex.org/W1787223765","https://openalex.org/W1968419435","https://openalex.org/W2050939210","https://openalex.org/W2115528090","https://openalex.org/W2128652617","https://openalex.org/W2131683651","https://openalex.org/W2147497470","https://openalex.org/W2147652878","https://openalex.org/W2334395466"],"related_works":["https://openalex.org/W2020709293","https://openalex.org/W3142541301","https://openalex.org/W2146220314","https://openalex.org/W1585855827","https://openalex.org/W2378906974","https://openalex.org/W4242398081","https://openalex.org/W2170080599","https://openalex.org/W2353022594","https://openalex.org/W2049855602","https://openalex.org/W1491584100"],"abstract_inverted_index":{"Synthetic":[0],"Aperture":[1],"Radar":[2],"(SAR)":[3],"images":[4,25],"of":[5,16,48,76,114,144],"sea":[6],"ice":[7,17,20,30,35,65,67,96,158],"have":[8],"proven":[9],"to":[10,26,78,87,108,120,140],"be":[11],"very":[12],"useful":[13],"toward":[14,104],"classification":[15],"cover":[18],"into":[19,92],"types.":[21],"However,":[22],"using":[23,105],"SAR":[24,90,106,138],"separate":[27],"the":[28,73,110,123,142,145,156],"marginal":[29],"zone":[31],"(MIZ)":[32],"from":[33],"consolidated":[34,57,98],"and":[36,59,63,97],"open":[37,93],"water":[38],"has":[39],"not":[40],"been":[41],"explicitly":[42],"considered":[43],"before.":[44],"One":[45],"typical":[46],"feature":[47,75,82,125,153],"MIZ":[49,77],"is":[50,53,118,128,134],"that":[51,122,151],"it":[52],"more":[54],"dynamic":[55,74,95,157],"than":[56],"ice,":[58,99],"includes":[60],"floes,":[61],"fast":[62],"thin":[64],"or":[66],"eddies.":[68],"The":[69,148],"current":[70],"paper":[71],"utilizes":[72],"investigate":[79],"a":[80,89,101,137],"curvelet-based":[81,146,152],"extraction":[83,126],"method":[84,127],"in":[85],"order":[86],"classify":[88,155],"image":[91,139],"water,":[94],"as":[100],"first":[102],"step":[103],"imagery":[107],"identify":[109],"MIZ.":[111],"An":[112],"experiment":[113],"10-fold":[115],"cross":[116],"validation":[117],"conducted":[119],"demonstrate":[121],"proposed":[124],"effective.":[129],"Finally,":[130],"an":[131],"SVM":[132],"classifier":[133],"used":[135],"on":[136],"test":[141],"performance":[143],"feature.":[147],"result":[149],"shows":[150],"can":[154],"accurately.":[159]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
