{"id":"https://openalex.org/W2790713095","doi":"https://doi.org/10.1109/lgrs.2018.2806945","title":"IMG2DSM: Height Simulation From Single Imagery Using Conditional Generative Adversarial Net","display_name":"IMG2DSM: Height Simulation From Single Imagery Using Conditional Generative Adversarial Net","publication_year":2018,"publication_date":"2018-03-05","ids":{"openalex":"https://openalex.org/W2790713095","doi":"https://doi.org/10.1109/lgrs.2018.2806945","mag":"2790713095"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2806945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2806945","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5074919292","display_name":"Pedram Ghamisi","orcid":"https://orcid.org/0000-0003-1203-741X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pedram Ghamisi","raw_affiliation_strings":["Earth Observation Center, SAR Signal Processing, Remote Sensing Technology Institute, Oberpfaffenhofen, Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Earth Observation Center, SAR Signal Processing, Remote Sensing Technology Institute, Oberpfaffenhofen, Wessling, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034435383","display_name":"Naoto Yokoya","orcid":"https://orcid.org/0000-0002-7321-4590"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoto Yokoya","raw_affiliation_strings":["RIKEN Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074919292"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.7016,"has_fulltext":false,"cited_by_count":131,"citation_normalized_percentile":{"value":0.97583027,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"15","issue":"5","first_page":"794","last_page":"798"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9954000115394592,"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/adversarial-system","display_name":"Adversarial system","score":0.712761402130127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6485341787338257},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6183711290359497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5792988538742065},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5672156810760498},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4178483188152313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22278699278831482}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.712761402130127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6485341787338257},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6183711290359497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5792988538742065},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5672156810760498},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4178483188152313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22278699278831482},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2018.2806945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2806945","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:elib.dlr.de:119293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/LGRS.2018.2806945>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G8086252123","display_name":null,"funder_award_id":"15K20955","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1019189097","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2494341560","https://openalex.org/W2623518586","https://openalex.org/W2963073614","https://openalex.org/W3105127913","https://openalex.org/W4297664336","https://openalex.org/W4320013936","https://openalex.org/W6678815747","https://openalex.org/W6729966448"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"This":[0,22],"letter":[1],"proposes":[2],"a":[3,18],"groundbreaking":[4],"approach":[5,96],"in":[6],"the":[7,12,46,60,95,131,135],"remote-sensing":[8],"community":[9],"to":[10,67,79],"simulating":[11],"digital":[13],"surface":[14],"model":[15],"(DSM)":[16],"from":[17],"single":[19],"optical":[20,63],"image.":[21],"novel":[23],"technique":[24],"uses":[25],"conditional":[26],"generative":[27],"adversarial":[28],"networks":[29],"whose":[30],"architecture":[31],"is":[32,54,76,97],"based":[33],"on":[34,56,83,116],"an":[35,69],"encoder-decoder":[36],"network":[37,53,75],"with":[38],"skip":[39],"connections":[40],"(generator)":[41],"and":[42,62,106,113,126],"penalizing":[43],"structures":[44],"at":[45],"scale":[47],"of":[48,94,103,110,134],"image":[49],"patches":[50],"(discriminator).":[51],"The":[52,73,92,128],"trained":[55,74],"scenes":[57,85],"where":[58,86],"both":[59,99],"DSM":[61],"data":[64,120],"are":[65],"available":[66],"establish":[68],"image-to-DSM":[70],"translation":[71],"rule.":[72],"then":[77],"utilized":[78],"simulate":[80],"elevation":[81,89],"information":[82,90],"target":[84],"no":[87],"corresponding":[88],"exists.":[91],"capability":[93],"evaluated":[98],"visually":[100],"(in":[101,108],"terms":[102,109],"photographic":[104],"interpretation)":[105],"quantitatively":[107],"reconstruction":[111],"errors":[112],"classification":[114],"accuracies)":[115],"subdecimeter":[117],"spatial":[118],"resolution":[119],"sets":[121],"captured":[122],"over":[123],"Vaihingen,":[124],"Potsdam,":[125],"Stockholm.":[127],"results":[129],"confirm":[130],"promising":[132],"performance":[133],"proposed":[136],"framework.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
