{"id":"https://openalex.org/W2772674605","doi":"https://doi.org/10.1109/igarss.2017.8128165","title":"Semantic segmentation of aerial images with explicit class-boundary modeling","display_name":"Semantic segmentation of aerial images with explicit class-boundary modeling","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2772674605","doi":"https://doi.org/10.1109/igarss.2017.8128165","mag":"2772674605"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8128165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8128165","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5019141268","display_name":"Dimitrios Marmanis","orcid":null},"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":"D. Marmanis","raw_affiliation_strings":["DLR-IMF Department, German Aerospace Center, Germany","Photogrammetry and Remote Sensing, TU M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DLR-IMF Department, German Aerospace Center, Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"Photogrammetry and Remote Sensing, TU M\u00fcnchen, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005404030","display_name":"Konrad Schindler","orcid":"https://orcid.org/0000-0002-3172-9246"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"K. Schindler","raw_affiliation_strings":["Photogrammetry and Remote Sensing, ETH Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Photogrammetry and Remote Sensing, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071121905","display_name":"Jan Dirk Wegner","orcid":"https://orcid.org/0000-0002-0290-6901"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"J. D. Wegner","raw_affiliation_strings":["Photogrammetry and Remote Sensing, ETH Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Photogrammetry and Remote Sensing, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032370631","display_name":"Mihai Datcu","orcid":"https://orcid.org/0000-0002-3477-9687"},"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":"M. Datcu","raw_affiliation_strings":["DLR-IMF Department, German Aerospace Center, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DLR-IMF Department, German Aerospace Center, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053008757","display_name":"Uwe Stilla","orcid":"https://orcid.org/0000-0002-1184-0924"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"U. Stilla","raw_affiliation_strings":["Photogrammetry and Remote Sensing, ETH Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Photogrammetry and Remote Sensing, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5165","last_page":"5168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/segmentation","display_name":"Segmentation","score":0.8218239545822144},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.802912712097168},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7777589559555054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7766088843345642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7336239218711853},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6549285650253296},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6513535380363464},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5654480457305908},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5390258431434631},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46216604113578796},{"id":"https://openalex.org/keywords/conjunction","display_name":"Conjunction (astronomy)","score":0.42940694093704224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34058499336242676},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3356029987335205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09120669960975647},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08628898859024048}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8218239545822144},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.802912712097168},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7777589559555054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7766088843345642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7336239218711853},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6549285650253296},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6513535380363464},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5654480457305908},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5390258431434631},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46216604113578796},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.42940694093704224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34058499336242676},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3356029987335205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09120669960975647},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08628898859024048},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2017.8128165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8128165","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:118596","is_oa":false,"landing_page_url":"https://elib.dlr.de/118596/","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Konferenzbeitrag"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4399999976158142,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W2469938794","https://openalex.org/W2488187315","https://openalex.org/W2527276685","https://openalex.org/W2548390752","https://openalex.org/W2962803021","https://openalex.org/W3105127913","https://openalex.org/W4253153980","https://openalex.org/W6786026892"],"related_works":["https://openalex.org/W1573992054","https://openalex.org/W1599690842","https://openalex.org/W2753053412","https://openalex.org/W2665157442","https://openalex.org/W3108840034","https://openalex.org/W4388169484","https://openalex.org/W2363259562","https://openalex.org/W3036937347","https://openalex.org/W3149224203","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"this":[1,27],"work":[2],"we":[3,33,50],"propose":[4],"an":[5],"end-to-end":[6],"trainable":[7],"supervised":[8],"Deep":[9],"Convolutional":[10],"Neural":[11],"Network":[12],"(DCNN)":[13],"targeting":[14],"the":[15,20,31,35,44,68],"task":[16],"of":[17,22,30],"semantic-segmentation":[18],"with":[19,57],"addition":[21],"class-aware":[23],"boundary":[24],"detection.":[25],"Through":[26],"explicit":[28],"modeling":[29],"class-boundaries,":[32],"enforce":[34],"network":[36],"to":[37],"extract":[38],"coherent":[39],"and":[40],"complete":[41],"objects,":[42],"suppressing":[43],"uncertainty":[45],"influencing":[46],"these":[47],"regions.":[48],"Importantly,":[49],"show":[51],"that":[52],"class-boundary":[53],"networks":[54],"in":[55],"conjunction":[56],"DCNN":[58],"performs":[59],"optimally,":[60],"achieving":[61],"over":[62],"90%":[63],"overall":[64],"accuracy":[65],"(OA)":[66],"on":[67],"challenging":[69],"ISPRS":[70],"Vaihingen":[71],"Semantic":[72],"Segmentation":[73],"benchmark.":[74]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
