{"id":"https://openalex.org/W2111651945","doi":"https://doi.org/10.1109/igarss.2013.6723104","title":"Hurricane eye extraction from SAR image using saliency-based visual attention algorithm","display_name":"Hurricane eye extraction from SAR image using saliency-based visual attention algorithm","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2111651945","doi":"https://doi.org/10.1109/igarss.2013.6723104","mag":"2111651945"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6723104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5067920932","display_name":"Shaohui Jin","orcid":"https://orcid.org/0000-0002-1287-443X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Jin","raw_affiliation_strings":["Xidian University, Xian, Shaanxi, CN","Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University, Xian, Shaanxi, CN","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xian, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347672","display_name":"Xiaofeng Li","orcid":"https://orcid.org/0000-0001-7038-5119"},"institutions":[{"id":"https://openalex.org/I4210089050","display_name":"NOAA National Environmental Satellite Data and Information Service","ror":"https://ror.org/007qwym43","country_code":"US","type":"government","lineage":["https://openalex.org/I1308126019","https://openalex.org/I1343035065","https://openalex.org/I4210089050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Li","raw_affiliation_strings":["GST at NOAA/NESDIS, College Park, MD, U.S.A","GST at NOAA/NESDIS, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GST at NOAA/NESDIS, College Park, MD, U.S.A","institution_ids":["https://openalex.org/I4210089050"]},{"raw_affiliation_string":"GST at NOAA/NESDIS, College Park, MD, USA","institution_ids":["https://openalex.org/I4210089050"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101847675","display_name":"Shuang Wang","orcid":"https://orcid.org/0000-0003-2224-5108"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, China","Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xian, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"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":2,"citation_normalized_percentile":{"value":0.21505625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1630","last_page":"1633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9724000096321106,"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.8153051733970642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7269409894943237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7265042066574097},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.672533392906189},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5074600577354431},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5073580145835876},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.4422459602355957},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4421462416648865},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4291863739490509},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3412066102027893}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8153051733970642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7269409894943237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7265042066574097},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.672533392906189},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5074600577354431},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5073580145835876},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.4422459602355957},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4421462416648865},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4291863739490509},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3412066102027893},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2013.6723104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4399999976158142,"display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332181","display_name":"National Oceanic and Atmospheric Administration","ror":"https://ror.org/02z5nhe81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W252812353","https://openalex.org/W1497599070","https://openalex.org/W2039546655","https://openalex.org/W2093509809","https://openalex.org/W2097258863","https://openalex.org/W2097511309","https://openalex.org/W2097756898","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2139047169","https://openalex.org/W2142692839","https://openalex.org/W2160377811","https://openalex.org/W6609434988","https://openalex.org/W6629672220","https://openalex.org/W6675192823","https://openalex.org/W6680437723","https://openalex.org/W6680614221"],"related_works":["https://openalex.org/W2996630340","https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W2613451563","https://openalex.org/W2545123933","https://openalex.org/W1994788526","https://openalex.org/W2011609146","https://openalex.org/W2547107543"],"abstract_inverted_index":{"Automatic":[0],"hurricane":[1,33,42],"information":[2],"extraction":[3],"in":[4,15,55],"synthetic":[5],"aperture":[6],"radar":[7],"(SAR)":[8],"images":[9],"has":[10],"been":[11],"a":[12],"research":[13],"topic":[14],"development.":[16],"In":[17],"this":[18],"study,":[19],"using":[20],"saliency-based":[21],"visual":[22],"attention":[23],"model,":[24],"we":[25],"developed":[26],"an":[27],"image":[28],"processing":[29],"procedure":[30],"to":[31],"extract":[32],"eyes":[34,43],"from":[35],"SAR":[36],"images.":[37,56],"Experiment":[38],"results":[39],"show":[40],"that":[41],"can":[44],"be":[45],"well":[46],"extracted":[47],"even":[48],"when":[49],"it":[50],"is":[51],"not":[52],"visually":[53],"obvious":[54]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
