{"id":"https://openalex.org/W3129991857","doi":"https://doi.org/10.1109/igarss39084.2020.9324633","title":"SE-HRNet: A Deep High-Resolution Network with Attention for Remote Sensing Scene Classification","display_name":"SE-HRNet: A Deep High-Resolution Network with Attention for Remote Sensing Scene Classification","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3129991857","doi":"https://doi.org/10.1109/igarss39084.2020.9324633","mag":"3129991857"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5100443350","display_name":"Lingling Li","orcid":"https://orcid.org/0000-0002-6130-2518"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingling Li","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419137","display_name":"Tian Tian","orcid":"https://orcid.org/0000-0003-0148-4900"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Tian","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455129","display_name":"Hang Li","orcid":"https://orcid.org/0000-0002-1230-4007"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hang Li","raw_affiliation_strings":["Beijing Aerospace System Engineering Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Aerospace System Engineering Research Institute, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009116003","display_name":"Lizhe Wang","orcid":"https://orcid.org/0000-0003-2766-0845"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhe Wang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100443350"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":0.7637,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79865025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"533","last_page":"536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9923999905586243,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9897000193595886,"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/block","display_name":"Block (permutation group theory)","score":0.7088357210159302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.686386227607727},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5820660591125488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5501079559326172},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.5432014465332031},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5343194603919983},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5282896161079407},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5083746314048767},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47525569796562195},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.411649614572525},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3667181730270386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3444783687591553},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25453701615333557},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1362835168838501},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12190160155296326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06600552797317505},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06022721529006958}],"concepts":[{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7088357210159302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.686386227607727},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5820660591125488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5501079559326172},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.5432014465332031},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5343194603919983},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5282896161079407},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5083746314048767},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47525569796562195},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.411649614572525},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3667181730270386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3444783687591553},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25453701615333557},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1362835168838501},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12190160155296326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06600552797317505},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06022721529006958},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6224460068","display_name":null,"funder_award_id":"41701417,U1711266","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W2783165089","https://openalex.org/W2883982921","https://openalex.org/W2916798096","https://openalex.org/W2940262938","https://openalex.org/W2963420686","https://openalex.org/W3103856189","https://openalex.org/W3105577662"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2372403409","https://openalex.org/W2353314428","https://openalex.org/W4242726756","https://openalex.org/W2012019886","https://openalex.org/W1517180214","https://openalex.org/W2082780921","https://openalex.org/W4212954839","https://openalex.org/W3190051883","https://openalex.org/W4401570279"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"scene":[2,70],"classification":[3],"is":[4,26,45],"a":[5],"challenging":[6],"task":[7],"due":[8],"to":[9,47],"the":[10,64,78,85,89],"complex":[11],"high-resolution":[12,22,35],"textures":[13],"and":[14,17,36,49,80],"similarity":[15],"within":[16],"variations":[18],"between":[19,56],"classes.":[20],"The":[21],"network":[23],"(HRN":[24],"et)":[25],"introduced":[27],"into":[28,62],"this":[29],"application":[30],"considering":[31],"its":[32],"capability":[33],"of":[34,88],"multi-scale":[37],"semantic":[38],"representations.":[39],"Moreover,":[40],"squeeze-and-excitation":[41],"(SE)":[42],"attention":[43],"mechanism":[44],"employed":[46],"enhance":[48],"suppress":[50],"features":[51],"based":[52],"on":[53,77],"their":[54],"interdependence":[55],"channels.":[57],"By":[58],"fusing":[59],"SE":[60],"block":[61],"HRNet,":[63],"proposed":[65,90],"SE-HRNet":[66],"can":[67],"better":[68],"distinguish":[69],"categories":[71],"with":[72],"enriched":[73],"features.":[74],"Experimental":[75],"results":[76],"NWPU-RESIS45":[79],"AID":[81],"data":[82],"sets":[83],"validate":[84],"state-of-the-art":[86],"performance":[87],"SE-HRNet.":[91]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}