{"id":"https://openalex.org/W3202649771","doi":"https://doi.org/10.1109/lgrs.2021.3112662","title":"A Low-Complexity and Adaptive Extraction Method for Reflection Hyperbolic Edges in Impulse GPR Images","display_name":"A Low-Complexity and Adaptive Extraction Method for Reflection Hyperbolic Edges in Impulse GPR Images","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3202649771","doi":"https://doi.org/10.1109/lgrs.2021.3112662","mag":"3202649771"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3112662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3112662","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/A5100372762","display_name":"Jun-Bo Wang","orcid":"https://orcid.org/0000-0002-1881-3558"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Jun-Bo Wang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","School of Engineering and Digital Arts, University of Kent, Canterbury, Kent, U.K"],"raw_orcid":"https://orcid.org/0000-0002-1881-3558","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Engineering and Digital Arts, University of Kent, Canterbury, Kent, U.K","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ji Zhang","orcid":"https://orcid.org/0000-0001-6141-239X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Zhang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6141-239X","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102127113","display_name":"Chuanwen Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuanwen Chang","raw_affiliation_strings":["Nanjing Les Electronic Equipment Company Ltd., Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Les Electronic Equipment Company Ltd., Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101589681","display_name":"Wei Zhu","orcid":"https://orcid.org/0000-0002-5966-9206"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Zhu","raw_affiliation_strings":["Nanjing Les Electronic Equipment Company Ltd., Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Les Electronic Equipment Company Ltd., Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044263677","display_name":"Yuli Zhao","orcid":"https://orcid.org/0000-0001-7298-7463"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuli Zhao","raw_affiliation_strings":["Nanjing Les Electronic Equipment Company Ltd., Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Les Electronic Equipment Company Ltd., Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408729","display_name":"Hua Zhang","orcid":"https://orcid.org/0000-0003-0734-1329"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Zhang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0734-1329","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029002143","display_name":"Jiangzhou Wang","orcid":"https://orcid.org/0000-0003-0881-3594"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Jiangzhou Wang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","School of Engineering and Digital Arts, University of Kent, Canterbury, Kent, U.K"],"raw_orcid":"https://orcid.org/0000-0003-0881-3594","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Engineering and Digital Arts, University of Kent, Canterbury, Kent, U.K","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.017,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.7531683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":1.0,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.996999979019165,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9944000244140625,"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/ground-penetrating-radar","display_name":"Ground-penetrating radar","score":0.8164809942245483},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.7571479082107544},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.7004133462905884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.668054461479187},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.6610592603683472},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6083225607872009},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5669946670532227},{"id":"https://openalex.org/keywords/deriche-edge-detector","display_name":"Deriche edge detector","score":0.561671257019043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5337769985198975},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5319281816482544},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43922698497772217},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.42550405859947205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4146273136138916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3411405682563782},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3244816064834595},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2909867763519287},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1453971564769745},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07035666704177856}],"concepts":[{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.8164809942245483},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.7571479082107544},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.7004133462905884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.668054461479187},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6610592603683472},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6083225607872009},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5669946670532227},{"id":"https://openalex.org/C167074055","wikidata":"https://www.wikidata.org/wiki/Q5262565","display_name":"Deriche edge detector","level":5,"score":0.561671257019043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5337769985198975},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5319281816482544},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43922698497772217},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.42550405859947205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4146273136138916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3411405682563782},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3244816064834595},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2909867763519287},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1453971564769745},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07035666704177856},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/lgrs.2021.3112662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3112662","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1985142120","https://openalex.org/W2015651615","https://openalex.org/W2030873530","https://openalex.org/W2032399238","https://openalex.org/W2118020555","https://openalex.org/W2130976145","https://openalex.org/W2133059825","https://openalex.org/W2145023731","https://openalex.org/W2187500846","https://openalex.org/W2329401243","https://openalex.org/W2518909974","https://openalex.org/W2541611006","https://openalex.org/W2885540121","https://openalex.org/W2899913359","https://openalex.org/W2908893851","https://openalex.org/W2921712339","https://openalex.org/W2963249133","https://openalex.org/W2969298016","https://openalex.org/W2972774735","https://openalex.org/W3027906135","https://openalex.org/W3036390306"],"related_works":["https://openalex.org/W2545065926","https://openalex.org/W3093839383","https://openalex.org/W1994279415","https://openalex.org/W2015446345","https://openalex.org/W2980082320","https://openalex.org/W2056066761","https://openalex.org/W2185255929","https://openalex.org/W2150787373","https://openalex.org/W2374599874","https://openalex.org/W2355177902"],"abstract_inverted_index":{"Traditional":[0],"Canny":[1,22],"edge":[2,23,62],"detection":[3,24,99],"algorithm":[4,25],"has":[5],"been":[6],"widely":[7],"used":[8],"for":[9,39,63],"the":[10,21,29,44,69,80,87,95,102],"extraction":[11],"of":[12,46,97],"hyperbolic":[13,34,61,89],"edges":[14,35,90],"in":[15,105],"ground":[16],"penetrating":[17],"radar":[18],"(GPR).":[19],"However,":[20],"cannot":[26],"adaptively":[27],"determine":[28],"segmentation":[30,70],"thresholds.":[31],"Moreover,":[32],"multiple":[33],"are":[36],"usually":[37],"detected":[38],"each":[40,64],"target,":[41],"which":[42],"increases":[43],"complexity":[45],"subsequent":[47],"processing.":[48],"In":[49],"this":[50],"letter,":[51],"we":[52],"propose":[53],"a":[54],"novel":[55],"method":[56,82],"that":[57,79],"obtains":[58],"only":[59],"one":[60],"target":[65,88,98],"and":[66,74,92],"automatically":[67],"determines":[68],"threshold.":[71],"Both":[72],"simulation":[73],"real":[75],"data":[76],"results":[77],"show":[78],"proposed":[81],"is":[83],"able":[84],"to":[85],"extract":[86],"precisely":[91],"significantly":[93],"improves":[94],"efficiency":[96],"combined":[100],"with":[101],"Hough":[103],"transform":[104],"impulse":[106],"GPR":[107],"systems.":[108]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
