{"id":"https://openalex.org/W3207065561","doi":"https://doi.org/10.1109/igarss47720.2021.9554439","title":"The Triplet Network Enhanced Spectral Diversity (T-NESD) Method for the Correction of TOPS Data Co-registration Errors for Non-Stationary Scenes","display_name":"The Triplet Network Enhanced Spectral Diversity (T-NESD) Method for the Correction of TOPS Data Co-registration Errors for Non-Stationary Scenes","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207065561","doi":"https://doi.org/10.1109/igarss47720.2021.9554439","mag":"3207065561"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","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/A5072238667","display_name":"Pietro Mastro","orcid":"https://orcid.org/0000-0002-3299-3567"},"institutions":[{"id":"https://openalex.org/I20272500","display_name":"University of Basilicata","ror":"https://ror.org/03tc05689","country_code":"IT","type":"education","lineage":["https://openalex.org/I20272500"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Pietro Mastro","raw_affiliation_strings":["School of Engineering, Universit\u00e0 degli Studi della Basilicata, Potenza, Italy"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Universit\u00e0 degli Studi della Basilicata, Potenza, Italy","institution_ids":["https://openalex.org/I20272500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084862352","display_name":"Antonio Pepe","orcid":"https://orcid.org/0000-0002-7843-3565"},"institutions":[{"id":"https://openalex.org/I4210125249","display_name":"Istituto per il Rilevamento Elettromagnetico dell'Ambiente","ror":"https://ror.org/02wxw4x45","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210125249","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Pepe","raw_affiliation_strings":["Istituto per il Rilevamento Elettromagnetico dell'Ambiente, CNR, Napoli, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto per il Rilevamento Elettromagnetico dell'Ambiente, CNR, Napoli, Italy","institution_ids":["https://openalex.org/I4210125249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072238667"],"corresponding_institution_ids":["https://openalex.org/I20272500"],"apc_list":null,"apc_paid":null,"fwci":0.68,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79615038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2294","last_page":"2297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998999834060669,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998999834060669,"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/T10644","display_name":"Cryospheric studies and observations","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tops","display_name":"TOPS","score":0.90533447265625},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.803978681564331},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.7266563773155212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6464423537254333},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.645186722278595},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.5481293201446533},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.49262648820877075},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.46754971146583557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4525853097438812},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.4310302734375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3450440764427185},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1266704499721527},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12584897875785828},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11185452342033386},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11067241430282593}],"concepts":[{"id":"https://openalex.org/C2777675136","wikidata":"https://www.wikidata.org/wiki/Q835642","display_name":"TOPS","level":3,"score":0.90533447265625},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.803978681564331},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.7266563773155212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6464423537254333},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.645186722278595},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5481293201446533},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.49262648820877075},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.46754971146583557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4525853097438812},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.4310302734375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3450440764427185},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1266704499721527},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12584897875785828},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11185452342033386},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11067241430282593}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2123632763","https://openalex.org/W2139520547","https://openalex.org/W2151358505","https://openalex.org/W2156606791","https://openalex.org/W2161661683","https://openalex.org/W2174009612","https://openalex.org/W2534845115","https://openalex.org/W2611997817","https://openalex.org/W2739026843","https://openalex.org/W2895187584","https://openalex.org/W2913105048","https://openalex.org/W2946295604","https://openalex.org/W3015701565"],"related_works":["https://openalex.org/W2811109569","https://openalex.org/W2385933648","https://openalex.org/W2381557761","https://openalex.org/W4231398535","https://openalex.org/W4245680303","https://openalex.org/W1996292569","https://openalex.org/W2068843146","https://openalex.org/W2462749609","https://openalex.org/W1996725752","https://openalex.org/W19246820"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"a":[3,29,99],"novel":[4],"approach":[5],"for":[6,55,77],"the":[7,33,40,47,70,78,107,111,122,125],"correction":[8],"of":[9,14,32,49,101,124],"misregistration":[10],"errors":[11,87],"in":[12,66],"sequences":[13],"Terrain":[15],"Observation":[16],"with":[17],"Progressive":[18],"Scan":[19],"(TOPS)":[20],"Sentinel-1":[21],"SAR":[22,79,103],"data":[23,81,104],"is":[24,43],"presented.":[25],"The":[26],"method":[27],"represents":[28],"further":[30],"evolution":[31],"Enhanced":[34],"Spectral":[35],"Diversity":[36],"(ESD)":[37],"approaches.":[38],"Remarkably,":[39],"developed":[41],"algorithm":[42],"almost":[44],"insensitive":[45],"to":[46,57,106],"presence":[48],"large":[50],"azimuth":[51,89],"ground":[52,90],"displacements":[53],"due,":[54],"instance,":[56],"massive":[58],"earthquakes,":[59],"volcanic":[60],"eruptions":[61],"or":[62],"glacier":[63],"movements.":[64],"Indeed,":[65],"such":[67],"non-stationary":[68],"contexts,":[69],"conventional":[71],"ESD":[72,75],"and":[73,88],"network":[74],"approaches":[76],"TOPS":[80],"co-registration":[82,86],"reveals":[83],"problematic":[84],"being":[85],"deformation":[91],"components":[92],"mixed":[93],"out.":[94],"Preliminary":[95],"experiments":[96],"conducted":[97],"on":[98,117],"set":[100],"TOP":[102],"related":[105],"area":[108],"hit":[109],"by":[110],"Ridgecrest":[112],"earthquake":[113],"MW":[114],"7.1,":[115],"California,":[116],"July":[118],"04":[119],"2019":[120],"confirm":[121],"validity":[123],"theoretical":[126],"framework.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
