{"id":"https://openalex.org/W3155689392","doi":"https://doi.org/10.1109/igarss47720.2021.9553596","title":"Regression Networks for Calculating Englacial Layer Thickness","display_name":"Regression Networks for Calculating Englacial Layer Thickness","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3155689392","doi":"https://doi.org/10.1109/igarss47720.2021.9553596","mag":"3155689392"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553596","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":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.04654","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071422014","display_name":"Debvrat Varshney","orcid":"https://orcid.org/0000-0001-8898-1736"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Debvrat Varshney","raw_affiliation_strings":["University of Maryland Baltimore County,Computer Vision and Remote Sensing Laboratory,MD,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County,Computer Vision and Remote Sensing Laboratory,MD,USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010792548","display_name":"Maryam Rahnemoonfar","orcid":"https://orcid.org/0000-0001-9358-2836"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maryam Rahnemoonfar","raw_affiliation_strings":["University of Maryland Baltimore County,Computer Vision and Remote Sensing Laboratory,MD,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County,Computer Vision and Remote Sensing Laboratory,MD,USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054476095","display_name":"Masoud Yari","orcid":"https://orcid.org/0000-0002-9949-8683"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Masoud Yari","raw_affiliation_strings":["University of Maryland Baltimore County,Computer Vision and Remote Sensing Laboratory,MD,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County,Computer Vision and Remote Sensing Laboratory,MD,USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071801848","display_name":"John Paden","orcid":"https://orcid.org/0000-0003-0775-6284"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]},{"id":"https://openalex.org/I4210144928","display_name":"Center for Remote Sensing and Integrated Systems","ror":"https://ror.org/04t2m2598","country_code":"US","type":"facility","lineage":["https://openalex.org/I146416000","https://openalex.org/I4210144928"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Paden","raw_affiliation_strings":["Center of Remote Sensing of Ice Sheets (CReSIS), University of Kansas,KS,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Remote Sensing of Ice Sheets (CReSIS), University of Kansas,KS,USA","institution_ids":["https://openalex.org/I4210144928","https://openalex.org/I146416000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0302402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2393","last_page":"2396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":1.0,"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":1.0,"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":0.9983000159263611,"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":0.9932000041007996,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7126610279083252},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7091625332832336},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.676297664642334},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6046934723854065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5978289246559143},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5901371836662292},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5817229151725769},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5467355251312256},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5051727890968323},{"id":"https://openalex.org/keywords/ice-sheet","display_name":"Ice sheet","score":0.5037772059440613},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4842647910118103},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4713294804096222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4575378894805908},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4323713779449463},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3995322585105896},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.38256755471229553},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18258917331695557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17501574754714966},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.10159081220626831},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09886658191680908}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7126610279083252},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7091625332832336},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.676297664642334},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6046934723854065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978289246559143},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5901371836662292},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5817229151725769},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5467355251312256},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5051727890968323},{"id":"https://openalex.org/C123750103","wikidata":"https://www.wikidata.org/wiki/Q12599","display_name":"Ice sheet","level":2,"score":0.5037772059440613},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4842647910118103},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4713294804096222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4575378894805908},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4323713779449463},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3995322585105896},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.38256755471229553},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18258917331695557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17501574754714966},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.10159081220626831},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09886658191680908},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553596","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"},{"id":"pmh:oai:arXiv.org:2104.04654","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.04654","pdf_url":"https://arxiv.org/pdf/2104.04654","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3155689392","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2104.04654.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:mdsoar.org:11603/24350","is_oa":false,"landing_page_url":"http://hdl.handle.net/11603/24350","pdf_url":null,"source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"doi:10.48550/arxiv.2104.04654","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2104.04654","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.13016/m2v2cs-21t8","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m2v2cs-21t8","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.04654","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.04654","pdf_url":"https://arxiv.org/pdf/2104.04654","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1513512681","https://openalex.org/W1548396839","https://openalex.org/W2022193890","https://openalex.org/W2085313846","https://openalex.org/W2108598243","https://openalex.org/W2140351612","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2252220274","https://openalex.org/W2347064614","https://openalex.org/W2510725918","https://openalex.org/W2518030137","https://openalex.org/W2531409750","https://openalex.org/W2547451222","https://openalex.org/W2622542886","https://openalex.org/W2771124624","https://openalex.org/W2960807450","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2964121744","https://openalex.org/W2965187616","https://openalex.org/W2995986410","https://openalex.org/W3006741963","https://openalex.org/W3081559251","https://openalex.org/W3092922965","https://openalex.org/W3130313995","https://openalex.org/W3131023837","https://openalex.org/W3131260895","https://openalex.org/W4230189198","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W3207947259","https://openalex.org/W2769842650","https://openalex.org/W3211785646","https://openalex.org/W2294335344","https://openalex.org/W2787704337","https://openalex.org/W2798927139","https://openalex.org/W3010367481","https://openalex.org/W2142882792","https://openalex.org/W3131785098","https://openalex.org/W2602040684","https://openalex.org/W1953651950","https://openalex.org/W3180684810","https://openalex.org/W2224298490","https://openalex.org/W2930451887","https://openalex.org/W3107143941","https://openalex.org/W2903985253","https://openalex.org/W2018274339","https://openalex.org/W2894864879","https://openalex.org/W2368470047","https://openalex.org/W2986858171"],"abstract_inverted_index":{"Ice":[0],"thickness":[1,29,58],"estimation":[2,59],"is":[3],"an":[4],"important":[5],"aspect":[6],"of":[7,30,54,57,88],"ice":[8,32],"sheet":[9],"modelling.":[10],"In":[11],"this":[12],"work,":[13],"we":[14],"use":[15],"convolutional":[16],"neural":[17,80],"networks":[18,66],"(CNN)":[19],"with":[20,44],"multiple":[21],"output":[22],"nodes":[23],"to":[24,48,84],"regress":[25],"and":[26,75],"learn":[27],"the":[28,61,79,86],"internal":[31],"layers":[33],"in":[34,78,82],"Snow":[35],"Radar":[36],"images":[37],"captured":[38],"over":[39,60],"northwest":[40],"Greenland.":[41],"We":[42],"experiment":[43],"some":[45],"state-of-the-art":[46],"CNNs":[47],"obtain":[49],"a":[50],"mean":[51],"absolute":[52],"error":[53],"1.251":[55],"pixels":[56],"test":[62],"set.":[63],"Such":[64],"regression-based":[65],"can":[67],"further":[68],"be":[69],"improved":[70],"by":[71],"embedding":[72],"domain":[73],"knowledge":[74],"radar":[76],"information":[77],"network":[81],"order":[83],"reduce":[85],"requirement":[87],"manual":[89],"annotations.":[90]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}