{"id":"https://openalex.org/W3205649091","doi":"https://doi.org/10.1109/igarss47720.2021.9553947","title":"Dual-Stream High Resolution Network for Multi-Source Remote Sensing Image Segmentation","display_name":"Dual-Stream High Resolution Network for Multi-Source Remote Sensing Image Segmentation","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3205649091","doi":"https://doi.org/10.1109/igarss47720.2021.9553947","mag":"3205649091"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553947","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":"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/A5041413561","display_name":"Bo Ren","orcid":"https://orcid.org/0000-0002-0481-5069"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Ren","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xian, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101036672","display_name":"Shibin Ma","orcid":"https://orcid.org/0000-0003-2130-9069"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibin Ma","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xian, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043022387","display_name":"Biao Hou","orcid":"https://orcid.org/0000-0002-1996-186X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Hou","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xian, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075013625","display_name":"Danfeng Hong","orcid":"https://orcid.org/0000-0002-3212-9584"},"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":"Danfeng Hong","raw_affiliation_strings":["Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"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":"3440","last_page":"3443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9977999925613403,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9977999925613403,"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":0.9975000023841858,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7539911270141602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.707023024559021},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6914892196655273},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5209954380989075},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5161858201026917},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5047622919082642},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4636602997779846},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.46271440386772156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4596649408340454},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4460234045982361},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.4192373752593994},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.41917884349823},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39499470591545105},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3542194962501526},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.34911373257637024},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1316981017589569},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11410033702850342},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1038120687007904}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7539911270141602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.707023024559021},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6914892196655273},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5209954380989075},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5161858201026917},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5047622919082642},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4636602997779846},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.46271440386772156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4596649408340454},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4460234045982361},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.4192373752593994},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.41917884349823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39499470591545105},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3542194962501526},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.34911373257637024},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1316981017589569},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11410033702850342},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1038120687007904},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553947","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G930621448","display_name":null,"funder_award_id":"62001355","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1964289842","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W3038579873","https://openalex.org/W3048631361","https://openalex.org/W3102692100"],"related_works":["https://openalex.org/W2545123933","https://openalex.org/W2585813813","https://openalex.org/W2041414401","https://openalex.org/W2042726296","https://openalex.org/W2096748030","https://openalex.org/W3016428515","https://openalex.org/W2160730947","https://openalex.org/W2747205507","https://openalex.org/W2917196883","https://openalex.org/W1908997176"],"abstract_inverted_index":{"Recently,":[0],"the":[1,11,22,25,38,46,54,67,72,113,120],"image":[2,30],"segmentation":[3,31],"has":[4,116],"been":[5],"a":[6,79,98],"significant":[7],"research":[8],"direction":[9],"in":[10],"field":[12],"of":[13,24,74,90],"optical":[14,26,39,95],"remote":[15,40,121],"sensing":[16,41,122],"data":[17,61,68,92,123],"processing.":[18],"However,":[19],"due":[20],"to":[21,52,66,86,105],"limitation":[23],"imaging":[27],"mechanism,":[28],"traditional":[29],"methods":[32],"are":[33,62],"not":[34],"efficient":[35],"for":[36,70],"processing":[37],"images,":[42],"especially":[43],"influencing":[44],"by":[45,125],"complex":[47],"weather":[48],"conditions.":[49],"In":[50],"order":[51],"ensure":[53],"classification":[55],"performance,":[56],"synthetic":[57],"aperture":[58],"radar":[59],"(SAR)":[60],"employed":[63],"as":[64],"complementary":[65],"procedure":[69],"enhancing":[71],"capability":[73],"land":[75],"cover":[76],"interpretation.":[77],"Then":[78],"dual-stream":[80],"high-resolution":[81],"network":[82],"(HRNet)":[83],"is":[84,103],"proposed":[85,114],"combine":[87],"two":[88],"types":[89],"heterogeneous":[91],"(SAR":[93],"and":[94,97,127],"image),":[96],"multi-modal":[99],"squeeze-and-excitation":[100],"(SE)":[101],"module":[102],"exploited":[104],"make":[106],"feature":[107],"maps":[108],"fused.":[109],"Experiments":[110],"show":[111],"that":[112],"method":[115],"excellent":[117],"performance":[118],"on":[119],"acquired":[124],"GF2":[126],"GF3":[128],"satellites.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}