{"id":"https://openalex.org/W3186819486","doi":"https://doi.org/10.3390/ijgi10070488","title":"Semantic Relation Model and Dataset for Remote Sensing Scene Understanding","display_name":"Semantic Relation Model and Dataset for Remote Sensing Scene Understanding","publication_year":2021,"publication_date":"2021-07-17","ids":{"openalex":"https://openalex.org/W3186819486","doi":"https://doi.org/10.3390/ijgi10070488","mag":"3186819486"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi10070488","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10070488","pdf_url":"https://www.mdpi.com/2220-9964/10/7/488/pdf?version=1626489989","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/10/7/488/pdf?version=1626489989","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100726749","display_name":"Peng Li","orcid":"https://orcid.org/0000-0001-5453-7389"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Li","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0001-5453-7389","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024869142","display_name":"Dezheng Zhang","orcid":"https://orcid.org/0000-0002-3456-5259"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dezheng Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0002-3456-5259","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086313562","display_name":"Aziguli Wulamu","orcid":"https://orcid.org/0000-0001-7228-7838"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aziguli Wulamu","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0001-7228-7838","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038572507","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0001-7909-9012"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]},{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","Surgery Simulation Research Laboratory, University of Alberta, Edmonton, AB T6G 2E1, Canada"],"raw_orcid":"https://orcid.org/0000-0001-7909-9012","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Surgery Simulation Research Laboratory, University of Alberta, Edmonton, AB T6G 2E1, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100399184","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0002-0519-169X"},"institutions":[{"id":"https://openalex.org/I917184967","display_name":"Bank of China","ror":"https://ror.org/02mt4s337","country_code":"CN","type":"other","lineage":["https://openalex.org/I917184967"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Chen","raw_affiliation_strings":["FINTECH Innovation Division, Postal Savings Bank of China, Beijing 100808, China"],"raw_orcid":"https://orcid.org/0000-0002-0519-169X","affiliations":[{"raw_affiliation_string":"FINTECH Innovation Division, Postal Savings Bank of China, Beijing 100808, China","institution_ids":["https://openalex.org/I917184967"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024869142"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":{"value":1700,"currency":"CHF","value_usd":1893},"apc_paid":{"value":1700,"currency":"CHF","value_usd":1893},"fwci":0.8167,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.7102701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"10","issue":"7","first_page":"488","last_page":"488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9969000220298767,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.996399998664856,"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/computer-science","display_name":"Computer science","score":0.7995016574859619},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5958850979804993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48881980776786804},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.46321991086006165},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45921894907951355},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20042437314987183},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11336833238601685},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.09419447183609009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7995016574859619},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5958850979804993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48881980776786804},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.46321991086006165},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45921894907951355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20042437314987183},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11336833238601685},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.09419447183609009},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi10070488","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10070488","pdf_url":"https://www.mdpi.com/2220-9964/10/7/488/pdf?version=1626489989","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a8f6728050b345a390e7fd61d73166a9","is_oa":true,"landing_page_url":"https://doaj.org/article/a8f6728050b345a390e7fd61d73166a9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 10, Iss 7, p 488 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/10/7/488/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi10070488","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information; Volume 10; Issue 7; Pages: 488","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi10070488","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10070488","pdf_url":"https://www.mdpi.com/2220-9964/10/7/488/pdf?version=1626489989","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G6326655663","display_name":null,"funder_award_id":"2018YFC0823002","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7889794209","display_name":null,"funder_award_id":"61801019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8210159129","display_name":null,"funder_award_id":"2019BFG02009","funder_id":"https://openalex.org/F4320334010","funder_display_name":"Key Research and Development Program of Ningxia"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334010","display_name":"Key Research and Development Program of Ningxia","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3186819486.pdf","grobid_xml":"https://content.openalex.org/works/W3186819486.grobid-xml"},"referenced_works_count":87,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W639708223","https://openalex.org/W1514535095","https://openalex.org/W1748750709","https://openalex.org/W1861492603","https://openalex.org/W1897761818","https://openalex.org/W2054611379","https://openalex.org/W2064675550","https://openalex.org/W2077069816","https://openalex.org/W2081293863","https://openalex.org/W2085625911","https://openalex.org/W2102605133","https://openalex.org/W2121043743","https://openalex.org/W2122528955","https://openalex.org/W2127795553","https://openalex.org/W2159564241","https://openalex.org/W2187089797","https://openalex.org/W2250378130","https://openalex.org/W2277195237","https://openalex.org/W2286929393","https://openalex.org/W2412782625","https://openalex.org/W2417427351","https://openalex.org/W2479423890","https://openalex.org/W2481240925","https://openalex.org/W2510520237","https://openalex.org/W2538244214","https://openalex.org/W2552163339","https://openalex.org/W2558535589","https://openalex.org/W2568262903","https://openalex.org/W2579549467","https://openalex.org/W2591644541","https://openalex.org/W2592962403","https://openalex.org/W2603566245","https://openalex.org/W2607855566","https://openalex.org/W2620858446","https://openalex.org/W2733535455","https://openalex.org/W2740962769","https://openalex.org/W2754191212","https://openalex.org/W2779054585","https://openalex.org/W2786947658","https://openalex.org/W2787090809","https://openalex.org/W2791634589","https://openalex.org/W2799029629","https://openalex.org/W2810482788","https://openalex.org/W2886970679","https://openalex.org/W2889811054","https://openalex.org/W2892621946","https://openalex.org/W2901504064","https://openalex.org/W2904742344","https://openalex.org/W2911584214","https://openalex.org/W2919088249","https://openalex.org/W2920405132","https://openalex.org/W2920981979","https://openalex.org/W2946373483","https://openalex.org/W2953867371","https://openalex.org/W2962032170","https://openalex.org/W2962737704","https://openalex.org/W2962785943","https://openalex.org/W2963037989","https://openalex.org/W2963449176","https://openalex.org/W2963536419","https://openalex.org/W2963649796","https://openalex.org/W2963840672","https://openalex.org/W2963902384","https://openalex.org/W2963923113","https://openalex.org/W2963938081","https://openalex.org/W2964072591","https://openalex.org/W2964164961","https://openalex.org/W2964169840","https://openalex.org/W2967731069","https://openalex.org/W2969387138","https://openalex.org/W2969541233","https://openalex.org/W2972444663","https://openalex.org/W2990045899","https://openalex.org/W2991494819","https://openalex.org/W2992049873","https://openalex.org/W2994434065","https://openalex.org/W3008156909","https://openalex.org/W3024007459","https://openalex.org/W3028306149","https://openalex.org/W3090775239","https://openalex.org/W3100245404","https://openalex.org/W3103856189","https://openalex.org/W3129330929","https://openalex.org/W6618372016","https://openalex.org/W6754554023","https://openalex.org/W6767582755"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"A":[0],"deep":[1],"understanding":[2,64,157],"of":[3,16,46,56,65,114,145,155,208],"our":[4,115,183],"visual":[5,123],"world":[6],"is":[7,37,59,86,107],"more":[8],"than":[9],"an":[10,96],"isolated":[11],"perception":[12,204],"on":[13,95,119,189],"a":[14,74,89,130,166],"series":[15],"objects,":[17],"and":[18,49,101,125,141,178,205],"the":[19,35,41,54,63,111,120,143,153,179,198],"relationships":[20],"between":[21,122,202],"them":[22],"also":[23,164],"contain":[24],"rich":[25],"semantic":[26,57,77,104,126,200],"information.":[27],"Especially":[28],"for":[29],"those":[30],"satellite":[31],"remote":[32,66,159,167,209],"sensing":[33,67,160,168,210],"images,":[34],"span":[36],"so":[38],"large":[39],"that":[40,182],"various":[42],"objects":[43],"are":[44],"always":[45],"different":[47],"sizes":[48],"complex":[50],"spatial":[51],"compositions.":[52],"Therefore,":[53],"recognition":[55],"relations":[58],"conducive":[60],"to":[61,99,109,135,150],"strengthen":[62,110],"scenes.":[68],"In":[69,81,193],"this":[70,82,162],"paper,":[71],"we":[72,128],"propose":[73],"novel":[75],"multi-scale":[76,103],"fusion":[78],"network":[79,92],"(MSFN).":[80],"framework,":[83],"dilated":[84],"convolution":[85],"introduced":[87],"into":[88],"graph":[90,147,170,191],"convolutional":[91],"(GCN)":[93],"based":[94,118],"attentional":[97],"mechanism":[98],"fuse":[100],"refine":[102],"context,":[105],"which":[106],"crucial":[108],"cognitive":[112],"ability":[113],"model":[116,184],"Besides,":[117],"mapping":[121],"features":[124],"embeddings,":[127],"design":[129],"sparse":[131],"relationship":[132],"extraction":[133],"module":[134],"remove":[136],"meaningless":[137],"connections":[138],"among":[139],"entities":[140],"improve":[142],"efficiency":[144],"scene":[146,156,169,190],"generation.":[148,192],"Meanwhile,":[149],"further":[151],"promote":[152],"research":[154],"in":[158],"field,":[161],"paper":[163],"proposes":[165],"dataset":[171],"(RSSGD).":[172],"We":[173],"carry":[174],"out":[175],"extensive":[176],"experiments":[177],"results":[180],"show":[181],"significantly":[185],"outperforms":[186],"previous":[187],"methods":[188],"addition,":[194],"RSSGD":[195],"effectively":[196],"bridges":[197],"huge":[199],"gap":[201],"low-level":[203],"high-level":[206],"cognition":[207],"images.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
