{"id":"https://openalex.org/W2986071152","doi":"https://doi.org/10.1109/igarss.2019.8898213","title":"A Hierarchical Saliency Based Target Detection Method for High-Resolution Sar Images","display_name":"A Hierarchical Saliency Based Target Detection Method for High-Resolution Sar Images","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2986071152","doi":"https://doi.org/10.1109/igarss.2019.8898213","mag":"2986071152"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8898213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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/A5100716826","display_name":"Lan Du","orcid":"https://orcid.org/0000-0001-7326-9666"},"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":true,"raw_author_name":"Lan Du","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043352633","display_name":"Lu Li","orcid":"https://orcid.org/0000-0001-6679-7145"},"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":"Lu Li","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073837122","display_name":"Zhaocheng Wang","orcid":"https://orcid.org/0000-0003-4890-2540"},"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":"Zhaocheng Wang","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100716826"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55097836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","issue":null,"first_page":"13","last_page":"16"},"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":0.9912999868392944,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/clutter","display_name":"Clutter","score":0.8662793636322021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.773139476776123},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7731143236160278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7312824130058289},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6448552012443542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4921357035636902},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.46886637806892395},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4434293210506439},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42256584763526917},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.38162797689437866}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8662793636322021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.773139476776123},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7731143236160278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7312824130058289},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6448552012443542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4921357035636902},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.46886637806892395},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4434293210506439},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42256584763526917},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.38162797689437866},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8898213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1719407190","https://openalex.org/W1961001432","https://openalex.org/W2085665642","https://openalex.org/W2090217374","https://openalex.org/W2128272608","https://openalex.org/W2146103513","https://openalex.org/W2176806231","https://openalex.org/W2328148566","https://openalex.org/W2342877428"],"related_works":["https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W2545123933","https://openalex.org/W1994788526","https://openalex.org/W2011609146","https://openalex.org/W1915418828","https://openalex.org/W2613451563","https://openalex.org/W1966299760"],"abstract_inverted_index":{"The":[0,80,132],"traditional":[1],"target":[2,67,145],"detection":[3,68,146],"methods":[4],"for":[5,76],"high-resolution":[6,56,77],"synthetic":[7],"aperture":[8],"radar":[9],"(SAR)":[10],"images":[11,138],"rely":[12],"on":[13,27,60,71,135],"the":[14,19,28,37,42,44,72,84,90,95,108,116,122,126,136,140,143],"high":[15],"intensity":[16],"contrast":[17],"between":[18],"targets":[20,45,96,117],"and":[21,52,99],"clutter,":[22,43],"which":[23],"are":[24],"usually":[25,48],"effective":[26],"homogeneous":[29],"background;":[30],"however,":[31],"they":[32],"may":[33],"lose":[34],"effectiveness":[35,141],"in":[36,55],"heterogeneous":[38],"background.":[39],"Compared":[40],"with":[41,102],"of":[46,93,97,118,128,142],"interest":[47,98,119],"have":[49],"specific":[50],"size":[51,130],"shape":[53],"characteristics":[54],"SAR":[57,78],"images.":[58,79],"Based":[59],"what":[61],"mentioned":[62],"above,":[63],"we":[64],"propose":[65],"a":[66],"method":[69,82],"based":[70],"hierarchical":[73],"saliency":[74,86,110],"(HS)":[75],"proposed":[81,144],"constructs":[83],"Bayesian":[85],"map":[87,111],"to":[88,114],"obtain":[89],"complete":[91],"structures":[92],"both":[94],"strong":[100,123],"clutter":[101,124],"superpixels":[103],"as":[104],"units":[105],"firstly.":[106],"Then,":[107],"morphological":[109],"is":[112],"constructed":[113],"retain":[115],"while":[120],"suppressing":[121],"via":[125],"introduction":[127],"prior":[129],"information.":[131],"experimental":[133],"results":[134],"MiniSAR":[137],"show":[139],"method.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
