{"id":"https://openalex.org/W4400645785","doi":"https://doi.org/10.3390/s24144568","title":"SAR Image Registration: The Combination of Nonlinear Diffusion Filtering, Hessian Features and Edge Points","display_name":"SAR Image Registration: The Combination of Nonlinear Diffusion Filtering, Hessian Features and Edge Points","publication_year":2024,"publication_date":"2024-07-14","ids":{"openalex":"https://openalex.org/W4400645785","doi":"https://doi.org/10.3390/s24144568","pmid":"https://pubmed.ncbi.nlm.nih.gov/39065967"},"language":"en","primary_location":{"id":"doi:10.3390/s24144568","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24144568","pdf_url":"https://www.mdpi.com/1424-8220/24/14/4568/pdf?version=1721026447","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/14/4568/pdf?version=1721026447","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113368557","display_name":"Guili Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guili Tang","raw_affiliation_strings":["Nanjing Research Institute of Electronics Technology, Nanjing 210039, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Research Institute of Electronics Technology, Nanjing 210039, China","institution_ids":["https://openalex.org/I4210110458"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101899685","display_name":"Zhonghao Wei","orcid":"https://orcid.org/0000-0002-4170-689X"},"institutions":[{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonghao Wei","raw_affiliation_strings":["Nanjing Research Institute of Electronics Technology, Nanjing 210039, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Research Institute of Electronics Technology, Nanjing 210039, China","institution_ids":["https://openalex.org/I4210110458"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030027967","display_name":"Long Zhuang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Zhuang","raw_affiliation_strings":["Nanjing Research Institute of Electronics Technology, Nanjing 210039, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Research Institute of Electronics Technology, Nanjing 210039, China","institution_ids":["https://openalex.org/I4210110458"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113368557"],"corresponding_institution_ids":["https://openalex.org/I4210110458"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.6731,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69159767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"24","issue":"14","first_page":"4568","last_page":"4568"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987000226974487,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9972000122070312,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8219619989395142},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.7550102472305298},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7458661198616028},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.6836196184158325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6102116703987122},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6028934121131897},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.5919969081878662},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.5810533165931702},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5643231272697449},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5609675049781799},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5346986651420593},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4995765686035156},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.4714820384979248},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.4457191824913025},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.42167624831199646},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4134260416030884},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.39941877126693726},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39140525460243225},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.33962976932525635},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2742122411727905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25622323155403137}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8219619989395142},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.7550102472305298},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7458661198616028},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.6836196184158325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6102116703987122},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6028934121131897},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.5919969081878662},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.5810533165931702},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5643231272697449},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5609675049781799},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5346986651420593},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4995765686035156},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.4714820384979248},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.4457191824913025},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.42167624831199646},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4134260416030884},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.39941877126693726},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39140525460243225},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.33962976932525635},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2742122411727905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25622323155403137},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":4,"locations":[{"id":"doi:10.3390/s24144568","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24144568","pdf_url":"https://www.mdpi.com/1424-8220/24/14/4568/pdf?version=1721026447","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39065967","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39065967","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11281203","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11281203","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:22c8d570427940a098ad95b796e22817","is_oa":true,"landing_page_url":"https://doaj.org/article/22c8d570427940a098ad95b796e22817","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 14, p 4568 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24144568","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24144568","pdf_url":"https://www.mdpi.com/1424-8220/24/14/4568/pdf?version=1721026447","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400645785.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1964855131","https://openalex.org/W2027305101","https://openalex.org/W2030233108","https://openalex.org/W2047243114","https://openalex.org/W2049421415","https://openalex.org/W2062895895","https://openalex.org/W2080878340","https://openalex.org/W2091755111","https://openalex.org/W2102080789","https://openalex.org/W2119605622","https://openalex.org/W2144123711","https://openalex.org/W2147016563","https://openalex.org/W2147555557","https://openalex.org/W2150134853","https://openalex.org/W2151103935","https://openalex.org/W2177274842","https://openalex.org/W2312710269","https://openalex.org/W2537657243","https://openalex.org/W2614744496","https://openalex.org/W2800324071","https://openalex.org/W2913429812","https://openalex.org/W3012021689","https://openalex.org/W3013043071","https://openalex.org/W3014697773","https://openalex.org/W3175531063","https://openalex.org/W3189453199","https://openalex.org/W4214810203","https://openalex.org/W4285819825","https://openalex.org/W4292970248","https://openalex.org/W4304172409","https://openalex.org/W4386422410","https://openalex.org/W4386639362","https://openalex.org/W4390677438","https://openalex.org/W4391375751","https://openalex.org/W4391465159","https://openalex.org/W4392173831","https://openalex.org/W6606431304","https://openalex.org/W6676770471","https://openalex.org/W6800021463","https://openalex.org/W6842044772"],"related_works":["https://openalex.org/W2366558118","https://openalex.org/W2393426979","https://openalex.org/W2159155702","https://openalex.org/W1999581389","https://openalex.org/W1859619809","https://openalex.org/W2348246732","https://openalex.org/W2944181031","https://openalex.org/W2356023255","https://openalex.org/W2130094715","https://openalex.org/W2173120285"],"abstract_inverted_index":{"Synthetic":[0],"aperture":[1],"radar":[2],"(SAR)":[3],"image":[4,15,44,54,79,92,112,123,140,153],"registration":[5,22,55,154],"is":[6,24,39,50,67],"an":[7],"important":[8],"process":[9],"in":[10,33,69],"many":[11],"applications,":[12],"such":[13],"as":[14,122],"stitching":[16],"and":[17,64,76,94,116,139,162],"remote":[18],"sensing":[19],"surveillance.":[20],"The":[21,81],"accuracy":[23,150],"commonly":[25],"affected":[26],"by":[27,47],"the":[28,41,85,127,144,149,157],"presence":[29],"of":[30,43,129,151],"speckle":[31,37,74,105],"noise":[32,38,75,106,135],"SAR":[34,53,108,152],"images.":[35],"When":[36],"intense,":[40],"number":[42],"features":[45,63,115,124],"acquired":[46],"single-feature-based":[48],"methods":[49],"insufficient.":[51],"An":[52],"method":[56,83,146],"that":[57,143],"combines":[58],"nonlinear":[59,95],"diffusion":[60,96],"filtering,":[61],"Hessian":[62,114],"edge":[65,117],"points":[66,118],"proposed":[68,82,145],"this":[70],"paper":[71],"to":[72,125],"reduce":[73],"obtain":[77],"more":[78],"features.":[80],"uses":[84],"infinite":[86],"symmetric":[87],"exponential":[88],"filter":[89],"(ISEF)":[90],"for":[91,98],"pre-processing":[93],"filtering":[97],"scale-space":[99],"construction.":[100],"These":[101],"measures":[102],"can":[103],"remove":[104],"from":[107],"images":[109],"while":[110],"preserving":[111],"edges.":[113],"are":[119],"also":[120],"employed":[121],"optimize":[126],"utilization":[128],"feature":[130],"information.":[131],"Experiments":[132],"with":[133,156],"different":[134],"levels,":[136],"geometric":[137],"transformations":[138],"scenes":[141],"demonstrate":[142],"effectively":[147],"improves":[148],"compared":[155],"SIFT-OCT,":[158],"SAR-SIFT,":[159],"Harris-SIFT,":[160],"NF-Hessian":[161],"KAZE-SAR":[163],"algorithms.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
