{"id":"https://openalex.org/W3183746821","doi":"https://doi.org/10.1109/igarss47720.2021.9553585","title":"Hed-Unet: A Multi-Scale Framework for Simultaneous Segmentation and Edge Detection","display_name":"Hed-Unet: A Multi-Scale Framework for Simultaneous Segmentation and Edge Detection","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3183746821","doi":"https://doi.org/10.1109/igarss47720.2021.9553585","mag":"3183746821"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553585","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":true,"oa_status":"green","oa_url":"https://elib.dlr.de/143088/1/hed_unet-igarss.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083100048","display_name":"Konrad Heidler","orcid":"https://orcid.org/0000-0001-8226-0727"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Konrad Heidler","raw_affiliation_strings":["Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany","Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024379450","display_name":"Lichao Mou","orcid":"https://orcid.org/0000-0001-8407-6413"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]},{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lichao Mou","raw_affiliation_strings":["Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany","Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022038255","display_name":"Celia A. Baumhoer","orcid":"https://orcid.org/0000-0003-1339-2288"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Celia Baumhoer","raw_affiliation_strings":["Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050140589","display_name":"A.J. Dietz","orcid":"https://orcid.org/0000-0002-5733-7136"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Dietz","raw_affiliation_strings":["Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068384981","display_name":"Xiao Xiang Zhu","orcid":"https://orcid.org/0000-0001-5530-3613"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]},{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiao Xiang Zhu","raw_affiliation_strings":["Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany","Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5083100048"],"corresponding_institution_ids":["https://openalex.org/I2898391981","https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11821867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"38","issue":null,"first_page":"3037","last_page":"3040"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9952999949455261,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9952999949455261,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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":0.8563518524169922},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7688945531845093},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6662983298301697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6363537311553955},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6149934530258179},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6148595213890076},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.522365152835846},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4797162413597107},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.47601112723350525},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.471326619386673},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4604445695877075},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44636037945747375},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43088504672050476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35769811272621155},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3531765341758728},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33638596534729004},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.067678302526474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8563518524169922},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7688945531845093},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6662983298301697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6363537311553955},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6149934530258179},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6148595213890076},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.522365152835846},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4797162413597107},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.47601112723350525},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.471326619386673},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4604445695877075},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44636037945747375},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43088504672050476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35769811272621155},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3531765341758728},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33638596534729004},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.067678302526474},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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":2,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553585","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:elib.dlr.de:143088","is_oa":true,"landing_page_url":"https://doi.org/10.1109/IGARSS47720.2021.9553585>.","pdf_url":"https://elib.dlr.de/143088/1/hed_unet-igarss.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":{"id":"pmh:oai:elib.dlr.de:143088","is_oa":true,"landing_page_url":"https://doi.org/10.1109/IGARSS47720.2021.9553585>.","pdf_url":"https://elib.dlr.de/143088/1/hed_unet-igarss.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.8299999833106995,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3183746821.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1901129140","https://openalex.org/W2168894214","https://openalex.org/W2757094569","https://openalex.org/W2764034829","https://openalex.org/W2782522152","https://openalex.org/W2962872526","https://openalex.org/W2963091558","https://openalex.org/W2963403868","https://openalex.org/W2963606038","https://openalex.org/W2963659230","https://openalex.org/W2982461770","https://openalex.org/W3006230204","https://openalex.org/W3128476715","https://openalex.org/W3135352607","https://openalex.org/W3213461081","https://openalex.org/W4385245566","https://openalex.org/W6639824700","https://openalex.org/W6684665197","https://openalex.org/W6739901393","https://openalex.org/W6773374543"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W1950940422","https://openalex.org/W2129146436","https://openalex.org/W2032507829"],"abstract_inverted_index":{"Segmentation":[0],"models":[1],"for":[2,15,26],"remote":[3],"sensing":[4],"imagery":[5],"are":[6],"usually":[7],"trained":[8,82],"on":[9],"the":[10,18,48,85,91],"segmentation":[11],"task":[12],"alone.":[13],"However,":[14],"many":[16],"applications,":[17],"class":[19],"boundaries":[20],"carry":[21],"semantic":[22],"value.":[23],"To":[24],"account":[25],"this,":[27],"we":[28],"propose":[29],"a":[30,38,71,75],"new":[31],"approach":[32],"that":[33],"unites":[34],"both":[35],"tasks":[36],"within":[37],"single":[39],"deep":[40,57],"learning":[41],"model.":[42],"The":[43,109],"proposed":[44],"network":[45],"architecture":[46],"follows":[47],"successful":[49],"encoder-decoder":[50],"approach,":[51],"and":[52,103],"is":[53,81,96,111],"improved":[54],"by":[55],"employing":[56],"supervision":[58],"at":[59,113],"multiple":[60],"resolution":[61,68],"levels,":[62],"as":[63,65],"well":[64],"merging":[66],"these":[67,107],"levels":[69],"into":[70],"final":[72],"prediction":[73],"using":[74],"hierarchical":[76],"attention":[77],"mechanism.":[78],"This":[79],"framework":[80],"to":[83,99,105],"detect":[84],"coastline":[86],"in":[87],"Sentinel-1":[88],"images":[89],"of":[90],"Antarctic":[92],"coastline.":[93],"Its":[94],"performance":[95],"then":[97],"compared":[98],"conventional":[100],"single-task":[101],"approaches,":[102],"shown":[104],"outperform":[106],"methods.":[108],"code":[110],"available":[112],"https://github.com/khdlr/HED-UNet.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}