{"id":"https://openalex.org/W4312924212","doi":"https://doi.org/10.1109/igarss46834.2022.9884706","title":"A Novel Hog-Based Template Matching Method for SAR and Optical Image","display_name":"A Novel Hog-Based Template Matching Method for SAR and Optical Image","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312924212","doi":"https://doi.org/10.1109/igarss46834.2022.9884706"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884706","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077580374","display_name":"Deyu Song","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyu Song","raw_affiliation_strings":["School of Aeronautics and Astronautics, University of Electric Science and Technology of China,Chengdu,China,611731","Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, University of Electric Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100609532","display_name":"Lan Liu","orcid":"https://orcid.org/0000-0001-9761-8293"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Liu","raw_affiliation_strings":["School of Aeronautics and Astronautics, University of Electric Science and Technology of China,Chengdu,China,611731","Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, University of Electric Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103051004","display_name":"Xiangyin Zhang","orcid":"https://orcid.org/0000-0003-0435-9582"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyin Zhang","raw_affiliation_strings":["School of Aeronautics and Astronautics, University of Electric Science and Technology of China,Chengdu,China,611731","Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, University of Electric Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075449178","display_name":"Kaiyu Qin","orcid":"https://orcid.org/0000-0002-0812-7095"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyu Qin","raw_affiliation_strings":["School of Aeronautics and Astronautics, University of Electric Science and Technology of China,Chengdu,China,611731","Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, University of Electric Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Chengdu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060770488","display_name":"Libo Wang","orcid":"https://orcid.org/0000-0003-3745-9459"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libo Wang","raw_affiliation_strings":["School of Aeronautics and Astronautics, University of Electric Science and Technology of China,Chengdu,China,611731","Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, University of Electric Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Chengdu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"951","last_page":"954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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":0.9976999759674072,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7692856192588806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7509578466415405},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6886208057403564},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.6449965238571167},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.6195259094238281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6064474582672119},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6027103066444397},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.602649986743927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.570576012134552},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5438192486763},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.4920479953289032},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4723934829235077},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.46276798844337463},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4553154408931732},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.361696720123291},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31617748737335205},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2806079387664795}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7692856192588806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7509578466415405},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6886208057403564},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.6449965238571167},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.6195259094238281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6064474582672119},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6027103066444397},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.602649986743927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.570576012134552},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5438192486763},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.4920479953289032},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4723934829235077},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.46276798844337463},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4553154408931732},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.361696720123291},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31617748737335205},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2806079387664795},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884706","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2042358924","https://openalex.org/W2126635242","https://openalex.org/W2142572935","https://openalex.org/W2144123711","https://openalex.org/W2144494233","https://openalex.org/W2161969291","https://openalex.org/W2613136699","https://openalex.org/W2810454813","https://openalex.org/W3195009617","https://openalex.org/W4205890696","https://openalex.org/W6660970500"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W4241911733"],"abstract_inverted_index":{"Due":[0],"to":[1,20,53,73,106,116],"multiplicative":[2],"speckle":[3,59],"noise":[4,60],"in":[5,51,80,127,148],"Synthetic":[6],"Aperture":[7],"Radar(SAR)":[8],"image":[9,25,41,147],"and":[10,23,39,78,109],"significant":[11],"intensity":[12],"difference":[13],"between":[14],"different":[15],"data,":[16],"it":[17],"is":[18,71],"difficult":[19],"match":[21],"SAR":[22,38,81,146],"optical":[24,40,149],"accurately.":[26],"In":[27],"this":[28],"paper,":[29],"we":[30,89,100],"propose":[31],"a":[32],"novel":[33],"template":[34,119,135],"matching":[35,120,136],"method":[36,137],"for":[37,96],"named":[42],"multi-Dimensional":[43],"Matching":[44],"Histogram":[45],"of":[46,58,66,113,145],"Oriented":[47],"Gradient":[48],"(mDM-HOG).":[49],"Firstly,":[50],"order":[52],"reduce":[54],"the":[55,64,75,85,91,102,111,114,118,130,133,143],"negative":[56],"effect":[57],"on":[61],"gradient":[62,76,87],"calculation,":[63],"ratio":[65],"exponentially":[67],"weighted":[68],"averages(ROEWA)":[69],"operator":[70],"introduced":[72],"calculate":[74],"magnitude":[77],"orientation":[79],"image.":[82,150],"Then,":[83],"using":[84],"obtained":[86],"information,":[88],"extract":[90],"3-D":[92,103],"pixelwise":[93],"HOG":[94],"feature":[95,104],"both":[97],"images.":[98],"Finally,":[99],"separate":[101],"map":[105],"nine":[107],"sub-maps":[108,115],"measure":[110],"similarity":[112],"obtain":[117],"result.":[121],"The":[122],"experimental":[123],"result":[124],"shows":[125],"that":[126],"comparison":[128],"with":[129],"existing":[131],"methods,":[132],"proposed":[134],"has":[138],"higher":[139],"accuracy":[140],"when":[141],"locating":[142],"position":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
