{"id":"https://openalex.org/W4285184058","doi":"https://doi.org/10.1109/tgrs.2022.3180761","title":"TransSounder: A Hybrid TransUNet-TransFuse Architectural Framework for Semantic Segmentation of Radar Sounder Data","display_name":"TransSounder: A Hybrid TransUNet-TransFuse Architectural Framework for Semantic Segmentation of Radar Sounder Data","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285184058","doi":"https://doi.org/10.1109/tgrs.2022.3180761"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3180761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3180761","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ieeexplore.ieee.org/document/9791273/authors#authors","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035979034","display_name":"Raktim Ghosh","orcid":"https://orcid.org/0000-0002-0494-5891"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Raktim Ghosh","raw_affiliation_strings":["Center of Digital Society, Fondazione Bruno Kessler, Trento, Italy","University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Center of Digital Society, Fondazione Bruno Kessler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]},{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087668203","display_name":"Francesca Bovolo","orcid":"https://orcid.org/0000-0003-3104-7656"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Bovolo","raw_affiliation_strings":["Center of Digital Society, Fondazionae Bruno Kesseler, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Center of Digital Society, Fondazionae Bruno Kesseler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035979034"],"corresponding_institution_ids":["https://openalex.org/I193223587","https://openalex.org/I2277624104"],"apc_list":null,"apc_paid":null,"fwci":3.7899,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.93961927,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9998999834060669,"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/T10535","display_name":"Landslides and related hazards","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11459","display_name":"Arctic and Antarctic ice dynamics","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7935423254966736},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5975186824798584},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5460538864135742},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5148062109947205},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5037373900413513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48467329144477844},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4227280616760254},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.41828495264053345},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4103087782859802},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14638537168502808},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13565897941589355},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10375595092773438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7935423254966736},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5975186824798584},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5460538864135742},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5148062109947205},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5037373900413513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48467329144477844},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4227280616760254},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.41828495264053345},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4103087782859802},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14638537168502808},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13565897941589355},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10375595092773438},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2022.3180761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3180761","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:iris.unitn.it:11572/354883","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/9791273/authors#authors","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:iris.unitn.it:11572/354883","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/9791273/authors#authors","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W109595296","https://openalex.org/W1536729381","https://openalex.org/W1901129140","https://openalex.org/W2007254765","https://openalex.org/W2060051051","https://openalex.org/W2075462569","https://openalex.org/W2078372154","https://openalex.org/W2108788177","https://openalex.org/W2156567817","https://openalex.org/W2286688059","https://openalex.org/W2565639579","https://openalex.org/W2622542886","https://openalex.org/W2735039185","https://openalex.org/W2752782242","https://openalex.org/W2771252144","https://openalex.org/W2787091153","https://openalex.org/W2884585870","https://openalex.org/W2889985731","https://openalex.org/W2896457183","https://openalex.org/W2909300821","https://openalex.org/W2963091558","https://openalex.org/W2964046962","https://openalex.org/W2968214327","https://openalex.org/W2995744795","https://openalex.org/W3013795472","https://openalex.org/W3027639438","https://openalex.org/W3081559251","https://openalex.org/W3099319035","https://openalex.org/W3105636206","https://openalex.org/W3109998321","https://openalex.org/W3121081803","https://openalex.org/W3127751679","https://openalex.org/W3128362874","https://openalex.org/W3129377622","https://openalex.org/W3168063927","https://openalex.org/W3170841864","https://openalex.org/W3183174367","https://openalex.org/W3204166336","https://openalex.org/W6685562342","https://openalex.org/W6739901393","https://openalex.org/W6740483536","https://openalex.org/W6755207826","https://openalex.org/W6755977528","https://openalex.org/W6771550025","https://openalex.org/W6790275670"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W4315434538"],"abstract_inverted_index":{"Radar":[0,174],"Sounders":[1],"(RSs)":[2],"are":[3,111],"nadir-looking":[4],"sensors":[5],"operating":[6],"in":[7,66],"high":[8,13],"frequency":[9,14],"(HF)":[10],"or":[11,82],"very":[12],"(VHF)":[15],"bands":[16],"that":[17],"profile":[18],"subsurface":[19,45,59,191],"targets":[20,60,75],"to":[21,27,50,78,106,137,157,186],"retrieve":[22],"miscellaneous":[23],"scientific":[24],"information.":[25],"Due":[26],"complex":[28],"electromagnetic":[29],"interaction":[30],"between":[31],"back-scattered":[32],"returns,":[33],"the":[34,54,100,108,124,140,144,160,171,180,189],"interpretation":[35],"of":[36,43,58,143,184],"RS":[37,67,145],"data":[38],"is":[39],"challenging.":[40],"The":[41,147],"investigations":[42],"ice-sheet":[44],"structures":[46,142],"require":[47],"automatic":[48],"techniques":[49,70],"account":[51],"for":[52,72,114],"both":[53],"sequential":[55,141],"spatial":[56,95,102,119],"distribution":[57],"and":[61,97,164,182],"relevant":[62],"statistical":[63],"properties":[64],"embedded":[65],"signals.":[68,146],"Automatic":[69],"exist":[71],"characterizing":[73],"these":[74],"either":[76],"related":[77],"probabilistic":[79],"inference":[80],"models":[81,110],"convolutional":[83],"neural":[84],"network":[85],"(CNN)":[86],"deep":[87],"learning":[88],"methods.":[89],"Unfortunately,":[90],"CNN-based":[91],"methods":[92],"capture":[93],"local":[94],"context":[96],"merely":[98],"model":[99],"global":[101,118],"context.":[103],"In":[104],"contrast":[105],"CNN,":[107],"Transformer-based":[109,131],"reliable":[112],"architectures":[113],"capturing":[115],"long-range":[116],"sequence-to-sequence":[117],"contextual":[120],"prior.":[121],"Motivated":[122],"by":[123],"aforementioned":[125],"fact,":[126],"we":[127],"propose":[128],"a":[129,152],"novel":[130],"semantic":[132],"segmentation":[133],"architecture":[134],"named":[135],"TransSounder":[136,148],"effectively":[138],"encode":[139],"was":[149],"constructed":[150],"on":[151],"hybrid":[153],"TransUNet-TransFuse":[154],"architectural":[155],"framework":[156],"systematically":[158],"augment":[159],"modules":[161],"from":[162],"TransUNet":[163],"TransFuse":[165],"architectures.":[166],"Experimental":[167],"results":[168],"obtained":[169],"using":[170],"Multichannel":[172],"Coherent":[173],"Depth":[175],"Sounder":[176],"(MCoRDS)":[177],"dataset":[178],"confirms":[179],"robustness":[181],"capability":[183],"Transformers":[185],"accurately":[187],"characterize":[188],"different":[190],"targets.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
