{"id":"https://openalex.org/W4382657749","doi":"https://doi.org/10.1109/lgrs.2023.3291170","title":"ISAR Image Segmentation for Space Target Based on Contrastive Learning and NL-Unet","display_name":"ISAR Image Segmentation for Space Target Based on Contrastive Learning and NL-Unet","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4382657749","doi":"https://doi.org/10.1109/lgrs.2023.3291170"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3291170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3291170","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/A5092366504","display_name":"Peng Kou","orcid":"https://orcid.org/0000-0001-6195-2206"},"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":"Peng Kou","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China","Department 32035, Xian, China"],"raw_orcid":"https://orcid.org/0000-0001-6195-2206","affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Department 32035, Xian, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091413699","display_name":"Xiangfeng Qiu","orcid":"https://orcid.org/0000-0002-2770-9891"},"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":"Xiangfeng Qiu","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2770-9891","affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054002392","display_name":"Yongxiang Liu","orcid":"https://orcid.org/0000-0002-0682-8365"},"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":"Yongxiang Liu","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0682-8365","affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100676282","display_name":"Dong-Jie Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongjie Zhao","raw_affiliation_strings":["Noncommissioned Officer Academy, University of Aerospace Engineering, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Noncommissioned Officer Academy, University of Aerospace Engineering, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447974","display_name":"Weijie Li","orcid":"https://orcid.org/0000-0003-2030-5349"},"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":"Weijie Li","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2030-5349","affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018019726","display_name":"Shuanghui Zhang","orcid":"https://orcid.org/0000-0002-7496-5433"},"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":"Shuanghui Zhang","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-7496-5433","affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":15.6206,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.98585668,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9957000017166138,"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/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.799480676651001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7751826047897339},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7539430856704712},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6227618455886841},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5692471265792847},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.48327237367630005},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.458467572927475},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42739158868789673},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.3943333029747009},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.23511561751365662}],"concepts":[{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.799480676651001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7751826047897339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7539430856704712},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6227618455886841},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5692471265792847},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.48327237367630005},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.458467572927475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42739158868789673},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.3943333029747009},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.23511561751365662},{"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/lgrs.2023.3291170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3291170","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/G475816501","display_name":null,"funder_award_id":"2020RC3029","funder_id":"https://openalex.org/F4320328381","funder_display_name":"Huxiang Youth Talent Support Program"},{"id":"https://openalex.org/G5979008009","display_name":null,"funder_award_id":"61921001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8256442563","display_name":null,"funder_award_id":"2022JJ10067","funder_id":"https://openalex.org/F4320330215","funder_display_name":"Natural Science Foundation for Distinguished Young Scholars of Hunan Province"},{"id":"https://openalex.org/G8752154792","display_name":null,"funder_award_id":"62171448","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"},{"id":"https://openalex.org/F4320328381","display_name":"Huxiang Youth Talent Support Program","ror":null},{"id":"https://openalex.org/F4320330215","display_name":"Natural Science Foundation for Distinguished Young Scholars of Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W174665412","https://openalex.org/W2064985253","https://openalex.org/W2842511635","https://openalex.org/W2891586302","https://openalex.org/W2963091558","https://openalex.org/W3083323523","https://openalex.org/W3121401214","https://openalex.org/W3122412340","https://openalex.org/W3132970243","https://openalex.org/W3217775520","https://openalex.org/W4205296907","https://openalex.org/W4289515477","https://openalex.org/W4297808394","https://openalex.org/W6607051068"],"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/W2545123933","https://openalex.org/W2031673444","https://openalex.org/W1994788526","https://openalex.org/W1915418828","https://openalex.org/W2613451563"],"abstract_inverted_index":{"The":[0,51,133],"inverse":[1],"synthetic":[2],"aperture":[3],"radar":[4],"(ISAR)":[5],"images":[6,47],"are":[7],"often":[8],"afflicted":[9],"by":[10],"boundary":[11],"blurring,":[12],"discontinuity,":[13],"sidelobe":[14,77],"effects":[15],"of":[16,24,48,99,109,128],"strong":[17],"scattering":[18],"points,":[19],"a":[20,40,88,116],"large":[21],"dynamic":[22],"range":[23],"gray":[25],"values,":[26],"and":[27,59,79,148],"azimuth":[28],"defocus,":[29],"which":[30],"pose":[31],"significant":[32],"challenges":[33],"to":[34,75,94,104,122,153],"image":[35,80],"segmentation.":[36],"This":[37],"paper":[38],"proposes":[39],"novel":[41],"semantic":[42,73],"segmentation":[43,107],"method":[44,52,65,114,118,135],"for":[45],"ISAR":[46,101,142],"space":[49],"targets.":[50],"is":[53,92,146],"based":[54,119],"on":[55,120,139],"contrastive":[56],"learning":[57,131],"(CL)":[58],"Non-Local":[60],"Unet":[61],"(NL-Unet).":[62],"First,":[63],"the":[64,68,83,96,100,106,113,124,129,140,154],"roughly":[66],"segments":[67],"target":[69,110],"contour":[70],"using":[71],"binary":[72],"tags":[74],"remove":[76],"interference":[78],"noise.":[81],"Then,":[82],"Non-local":[84],"self-attentive":[85],"mechanism":[86],"with":[87],"global":[89],"perceptual":[90],"field":[91],"used":[93],"exploit":[95],"structural":[97],"symmetry":[98],"image.":[102],"Finally,":[103],"improve":[105],"ability":[108],"small":[111],"parts,":[112],"adopts":[115],"training":[117],"CL":[121],"overcome":[123],"relatively":[125],"weak":[126],"problem":[127],"supervised":[130],"model.":[132],"proposed":[134],"outperforms":[136],"existing":[137],"methods":[138],"simulated":[141],"dataset.":[143],"Moreover,":[144],"it":[145],"practical":[147],"can":[149],"be":[150],"directly":[151],"generalized":[152],"real-measured":[155],"dataset":[156],"without":[157],"retraining.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
