{"id":"https://openalex.org/W2805839151","doi":"https://doi.org/10.1109/lgrs.2018.2838043","title":"Ship Detection in SAR Images Based on Lognormal $\\rho$ -Metric","display_name":"Ship Detection in SAR Images Based on Lognormal $\\rho$ -Metric","publication_year":2018,"publication_date":"2018-05-30","ids":{"openalex":"https://openalex.org/W2805839151","doi":"https://doi.org/10.1109/lgrs.2018.2838043","mag":"2805839151"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2838043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2838043","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5101620322","display_name":"Meng Yang","orcid":"https://orcid.org/0000-0002-2514-8015"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Yang","raw_affiliation_strings":["College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2514-8015","affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023396675","display_name":"Chunsheng Guo","orcid":"https://orcid.org/0000-0003-1633-3507"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunsheng Guo","raw_affiliation_strings":["College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":16.4792,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.98389264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"9","first_page":"1372","last_page":"1376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9947999715805054,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9947999715805054,"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":0.9886000156402588,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9864000082015991,"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/metric","display_name":"Metric (unit)","score":0.7778257131576538},{"id":"https://openalex.org/keywords/information-geometry","display_name":"Information geometry","score":0.7348297834396362},{"id":"https://openalex.org/keywords/log-normal-distribution","display_name":"Log-normal distribution","score":0.7215784192085266},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.639419436454773},{"id":"https://openalex.org/keywords/fisher-information-metric","display_name":"Fisher information metric","score":0.6002430319786072},{"id":"https://openalex.org/keywords/statistical-manifold","display_name":"Statistical manifold","score":0.5996135473251343},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.568703293800354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45603999495506287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4534109830856323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4415949285030365},{"id":"https://openalex.org/keywords/riemannian-geometry","display_name":"Riemannian geometry","score":0.4177525043487549},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4098649024963379},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3722388744354248},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3455227017402649},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32479315996170044},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.3199748992919922},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2263820469379425},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22475260496139526},{"id":"https://openalex.org/keywords/metric-space","display_name":"Metric space","score":0.21629399061203003},{"id":"https://openalex.org/keywords/product-metric","display_name":"Product metric","score":0.09345874190330505}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7778257131576538},{"id":"https://openalex.org/C109546454","wikidata":"https://www.wikidata.org/wiki/Q3798604","display_name":"Information geometry","level":4,"score":0.7348297834396362},{"id":"https://openalex.org/C151620405","wikidata":"https://www.wikidata.org/wiki/Q826116","display_name":"Log-normal distribution","level":2,"score":0.7215784192085266},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.639419436454773},{"id":"https://openalex.org/C127104897","wikidata":"https://www.wikidata.org/wiki/Q5454858","display_name":"Fisher information metric","level":4,"score":0.6002430319786072},{"id":"https://openalex.org/C169391604","wikidata":"https://www.wikidata.org/wiki/Q7604402","display_name":"Statistical manifold","level":5,"score":0.5996135473251343},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.568703293800354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45603999495506287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4534109830856323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4415949285030365},{"id":"https://openalex.org/C181104567","wikidata":"https://www.wikidata.org/wiki/Q761383","display_name":"Riemannian geometry","level":2,"score":0.4177525043487549},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4098649024963379},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3722388744354248},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3455227017402649},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32479315996170044},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.3199748992919922},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2263820469379425},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22475260496139526},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.21629399061203003},{"id":"https://openalex.org/C154497576","wikidata":"https://www.wikidata.org/wiki/Q7247777","display_name":"Product metric","level":3,"score":0.09345874190330505},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C12520029","wikidata":"https://www.wikidata.org/wiki/Q1147161","display_name":"Scalar curvature","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2018.2838043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2838043","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8623285885","display_name":null,"funder_award_id":"61501152","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":8,"referenced_works":["https://openalex.org/W597395834","https://openalex.org/W645026086","https://openalex.org/W1964313985","https://openalex.org/W1991528401","https://openalex.org/W2089588733","https://openalex.org/W2149492639","https://openalex.org/W2156061307","https://openalex.org/W2485135680"],"related_works":["https://openalex.org/W4285286186","https://openalex.org/W4291625303","https://openalex.org/W2737579912","https://openalex.org/W4387297266","https://openalex.org/W4245686311","https://openalex.org/W174154882","https://openalex.org/W4312090883","https://openalex.org/W2099515730","https://openalex.org/W1597014246","https://openalex.org/W4385435140"],"abstract_inverted_index":{"Information":[0],"geometry":[1],"emerged":[2],"from":[3,89],"the":[4,7,28,41,62,86,97,103],"study":[5],"of":[6,10,13,43,99],"geometrical":[8],"structure":[9],"a":[11,18,34,68],"manifold":[12],"probability":[14],"distributions.":[15],"It":[16],"defines":[17],"Riemannian":[19,63],"metric":[20,31,71,82],"uniquely,":[21],"which":[22],"is":[23],"Fisher":[24,30,70],"information":[25,76],"metric.":[26],"However,":[27],"classical":[29],"method":[32],"has":[33],"limitation":[35],"that":[36,80],"it":[37],"does":[38],"not":[39],"overcome":[40],"problem":[42],"inhomogeneous":[44],"and":[45,61,105,107],"nonstationary":[46],"clutter":[47],"for":[48,83],"ship":[49,87],"detection":[50,88],"in":[51,85],"synthetic":[52],"aperture":[53],"radar":[54],"(SAR)":[55],"images.":[56],"By":[57],"combing":[58],"lognormal":[59,81],"model":[60],"geometry,":[64],"this":[65],"letter":[66],"presents":[67],"modified":[69],"(lognormal":[72],"\u03c1-metric)":[73],"based":[74],"on":[75],"geometry.":[77],"Experiments":[78],"show":[79],"\u03c1":[84],"SAR":[90],"images":[91],"can":[92],"be":[93],"tuned":[94],"to":[95],"increase":[96],"performance":[98],"improving":[100],"contrast":[101],"between":[102],"object":[104],"background,":[106],"reducing":[108],"false":[109],"alarms.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
