{"id":"https://openalex.org/W2547333652","doi":"https://doi.org/10.1109/igarss.2016.7729016","title":"A novel threshold template algorithm for ship detection in high-resolution SAR images","display_name":"A novel threshold template algorithm for ship detection in high-resolution SAR images","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2547333652","doi":"https://doi.org/10.1109/igarss.2016.7729016","mag":"2547333652"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5017731242","display_name":"Chonglei Wang","orcid":"https://orcid.org/0000-0002-0565-552X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chonglei Wang","raw_affiliation_strings":["Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044809337","display_name":"Funkun Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Funkun Bi","raw_affiliation_strings":["School of Electronic Information Engineering, North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101612877","display_name":"Chen Liang","orcid":"https://orcid.org/0000-0002-1803-2284"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Chen","raw_affiliation_strings":["Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100394829","display_name":"Jing Chen","orcid":"https://orcid.org/0000-0001-8305-9291"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Chen","raw_affiliation_strings":["School of Electronic Information Engineering, North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017731242"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":1.5262,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.87514183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"100","last_page":"103"},"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":0.992900013923645,"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":0.992900013923645,"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":0.9889000058174133,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9772999882698059,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.8222237229347229},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.800057053565979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7458733916282654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6491441130638123},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5283986926078796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5229009985923767},{"id":"https://openalex.org/keywords/point-target","display_name":"Point target","score":0.5023789405822754},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49919724464416504},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.46766531467437744},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4629446268081665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45554935932159424},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.42248743772506714},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2907666862010956},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06437104940414429}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8222237229347229},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.800057053565979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7458733916282654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6491441130638123},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5283986926078796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5229009985923767},{"id":"https://openalex.org/C2778999744","wikidata":"https://www.wikidata.org/wiki/Q7208292","display_name":"Point target","level":3,"score":0.5023789405822754},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49919724464416504},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.46766531467437744},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4629446268081665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45554935932159424},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.42248743772506714},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2907666862010956},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06437104940414429}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W142575998","https://openalex.org/W1602107991","https://openalex.org/W2142796063","https://openalex.org/W2169533770","https://openalex.org/W4252813286"],"related_works":["https://openalex.org/W2996630340","https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W2967731076","https://openalex.org/W1552305638","https://openalex.org/W2032982027","https://openalex.org/W1915418828","https://openalex.org/W2547107543","https://openalex.org/W2008518276","https://openalex.org/W2018185640"],"abstract_inverted_index":{"A":[0],"new":[1],"threshold":[2,54],"template":[3,55,90],"algorithm":[4,25,105],"is":[5],"presented":[6],"in":[7,14,17,62],"this":[8],"paper":[9],"to":[10,57],"improve":[11],"the":[12,35,41,75,78,93,104],"performance":[13],"ship":[15,60],"detection":[16],"high-resolution":[18,100],"synthetic":[19],"aperture":[20],"radar":[21],"(SAR)":[22],"images.":[23,101],"The":[24,65,89],"introduces":[26],"SAR":[27],"formation":[28],"theories":[29],"into":[30,37],"detection.":[31],"First,":[32],"we":[33,51],"divide":[34],"image":[36],"tiles":[38],"within":[39],"which":[40,98],"sea":[42],"background":[43],"can":[44],"be":[45],"treated":[46],"as":[47],"homogeneous":[48],"one.":[49],"Second,":[50],"use":[52],"a":[53],"method":[56,91],"detect":[58],"candidate":[59,82],"pixels":[61,83],"each":[63],"tile.":[64],"data":[66],"model":[67,72],"and":[68,85],"point":[69],"spread":[70],"function":[71],"together":[73,84],"decide":[74],"parameters":[76],"of":[77],"template.":[79],"Third,":[80],"group":[81],"exclude":[86],"false":[87],"alarms.":[88],"exploits":[92],"relationship":[94],"between":[95],"neighbor":[96],"pixels,":[97],"characterise":[99],"Experiments":[102],"validate":[103],"with":[106],"good":[107],"performance.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}