{"id":"https://openalex.org/W2781873114","doi":"https://doi.org/10.1109/icspcc.2017.8242463","title":"Refined aircraft segmentation in SAR images using shape prior","display_name":"Refined aircraft segmentation in SAR images using shape prior","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2781873114","doi":"https://doi.org/10.1109/icspcc.2017.8242463","mag":"2781873114"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc.2017.8242463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2017.8242463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5100632882","display_name":"Xiaoqiang Zhang","orcid":"https://orcid.org/0000-0002-7686-2841"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqiang Zhang","raw_affiliation_strings":["Electronic Science and Engineering College, National University of Defense Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Science and Engineering College, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101828155","display_name":"Boli Xiong","orcid":"https://orcid.org/0000-0003-4642-8005"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boli Xiong","raw_affiliation_strings":["Electronic Science and Engineering College, National University of Defense Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Science and Engineering College, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082887216","display_name":"Gangyao Kuang","orcid":"https://orcid.org/0000-0003-2620-889X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangyao Kuang","raw_affiliation_strings":["Electronic Science and Engineering College, National University of Defense Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Science and Engineering College, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100632882"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19732183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9984999895095825,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9984999895095825,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9965999722480774,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9962000250816345,"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":0.7814589738845825},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7381486892700195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7094507813453674},{"id":"https://openalex.org/keywords/vector-flow","display_name":"Vector flow","score":0.7047528028488159},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6669434905052185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6524248123168945},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5730905532836914},{"id":"https://openalex.org/keywords/point-distribution-model","display_name":"Point distribution model","score":0.5663759708404541},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.5295955538749695},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5205639004707336},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.45454972982406616},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4438725411891937},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.32602956891059875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3242943584918976},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13278359174728394}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7814589738845825},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7381486892700195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7094507813453674},{"id":"https://openalex.org/C20749125","wikidata":"https://www.wikidata.org/wiki/Q7917826","display_name":"Vector flow","level":4,"score":0.7047528028488159},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6669434905052185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6524248123168945},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5730905532836914},{"id":"https://openalex.org/C118317068","wikidata":"https://www.wikidata.org/wiki/Q2100760","display_name":"Point distribution model","level":2,"score":0.5663759708404541},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.5295955538749695},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5205639004707336},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.45454972982406616},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4438725411891937},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.32602956891059875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3242943584918976},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13278359174728394},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"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/icspcc.2017.8242463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2017.8242463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1483681246","https://openalex.org/W1601543771","https://openalex.org/W1966085523","https://openalex.org/W2032618685","https://openalex.org/W2038952578","https://openalex.org/W2048250827","https://openalex.org/W2068217092","https://openalex.org/W2095049733","https://openalex.org/W2106160885","https://openalex.org/W2113689258","https://openalex.org/W2142572935","https://openalex.org/W2154610955","https://openalex.org/W6675878783","https://openalex.org/W6682713193"],"related_works":["https://openalex.org/W3107043386","https://openalex.org/W2908190742","https://openalex.org/W2348451999","https://openalex.org/W2538095019","https://openalex.org/W2382327910","https://openalex.org/W2119154190","https://openalex.org/W1789728659","https://openalex.org/W2781873114","https://openalex.org/W2164419793","https://openalex.org/W2036938784"],"abstract_inverted_index":{"Target":[0],"segmentation":[1,38,96,121],"is":[2,18,53,64,76,100],"the":[3,7,23,26,45,57,61,67,83,87,94,98,112,116],"basic":[4],"work":[5],"of":[6,47,97,115],"synthetic":[8],"aperture":[9],"radar":[10],"(SAR)":[11],"image":[12],"interpretation.":[13],"As":[14],"for":[15,40,122],"aircraft,":[16],"it":[17],"difficult":[19],"to":[20,29,55,78],"accurately":[21],"extract":[22],"target":[24],"from":[25],"background":[27],"due":[28],"its":[30],"complex":[31],"structure.":[32],"This":[33],"paper":[34],"proposes":[35],"a":[36],"refined":[37,95,120],"method":[39,118],"aircraft":[41,99,123],"target,":[42],"in":[43],"which":[44],"ratio":[46],"exponentially":[48],"weighted":[49],"averages":[50],"(ROEWA)":[51],"operator":[52],"used":[54,77],"produce":[56],"edge":[58],"map":[59],"and":[60,86],"shape":[62,80,84],"prior":[63,85],"utilized":[65],"by":[66],"point":[68],"distribution":[69],"model":[70],"(PDM).":[71],"The":[72,102],"Catmull-Rom":[73],"(CR)":[74],"spline":[75],"build":[79],"samples.":[81],"Combining":[82],"gradient":[88],"vector":[89],"flow":[90],"(GVF)":[91],"snake":[92],"model,":[93],"achieved.":[101],"experimental":[103],"results":[104],"based":[105],"on":[106,119],"Ku-band":[107],"airborne":[108],"SAR":[109],"data":[110],"illustrate":[111],"effective":[113],"performance":[114],"proposed":[117],"targets.":[124]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
