{"id":"https://openalex.org/W3109720342","doi":"https://doi.org/10.34768/amcs-2020-0030","title":"Classification of high resolution satellite images using improved U-Net","display_name":"Classification of high resolution satellite images using improved U-Net","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3109720342","doi":"https://doi.org/10.34768/amcs-2020-0030","mag":"3109720342"},"language":"en","primary_location":{"id":"doi:10.34768/amcs-2020-0030","is_oa":true,"landing_page_url":"https://doi.org/10.34768/amcs-2020-0030","pdf_url":null,"source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.34768/amcs-2020-0030","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100638496","display_name":"Yong Wang","orcid":"https://orcid.org/0000-0002-0954-2856"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Wang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101996643","display_name":"Dongfang Zhang","orcid":"https://orcid.org/0000-0001-9219-6829"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongfang Zhang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058137071","display_name":"Guangming Dai","orcid":"https://orcid.org/0000-0002-1787-3794"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangming Dai","raw_affiliation_strings":["School of Computer Science, China University of Geosciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences","institution_ids":["https://openalex.org/I3125743391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5058137071","https://openalex.org/A5100638496"],"corresponding_institution_ids":["https://openalex.org/I3125743391"],"apc_list":{"value":4080,"currency":"PLN","value_usd":1100},"apc_paid":{"value":4080,"currency":"PLN","value_usd":1100},"fwci":0.8885,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77609658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"30","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9983999729156494,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/pooling","display_name":"Pooling","score":0.8586611747741699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7317777872085571},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7021504640579224},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6030349731445312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5722333192825317},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5290398001670837},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5140286684036255},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.47915974259376526},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42526769638061523},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.4136163890361786},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3917744755744934},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3913346230983734},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35882753133773804},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35579854249954224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34963899850845337},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2178547978401184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08453220129013062}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8586611747741699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317777872085571},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7021504640579224},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6030349731445312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5722333192825317},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5290398001670837},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5140286684036255},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.47915974259376526},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42526769638061523},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.4136163890361786},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3917744755744934},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3913346230983734},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35882753133773804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35579854249954224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34963899850845337},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2178547978401184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08453220129013062},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.34768/amcs-2020-0030","is_oa":true,"landing_page_url":"https://doi.org/10.34768/amcs-2020-0030","pdf_url":null,"source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3a9e27ba32724e998d40cf0e2606dc4c","is_oa":true,"landing_page_url":"https://doaj.org/article/3a9e27ba32724e998d40cf0e2606dc4c","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":"International Journal of Applied Mathematics and Computer Science, Vol 30, Iss 3, Pp 399-413 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.34768/amcs-2020-0030","is_oa":true,"landing_page_url":"https://doi.org/10.34768/amcs-2020-0030","pdf_url":null,"source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W78159342","https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1817277359","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2046382188","https://openalex.org/W2054279472","https://openalex.org/W2062118960","https://openalex.org/W2068730661","https://openalex.org/W2070452328","https://openalex.org/W2100588357","https://openalex.org/W2104978738","https://openalex.org/W2109255472","https://openalex.org/W2111256709","https://openalex.org/W2129259959","https://openalex.org/W2131846894","https://openalex.org/W2162915993","https://openalex.org/W2179352600","https://openalex.org/W2190186811","https://openalex.org/W2267317359","https://openalex.org/W2333621733","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2473131906","https://openalex.org/W2538244214","https://openalex.org/W2545985378","https://openalex.org/W2557406251","https://openalex.org/W2560023338","https://openalex.org/W2561196672","https://openalex.org/W2563705555","https://openalex.org/W2588561483","https://openalex.org/W2598666589","https://openalex.org/W2616727008","https://openalex.org/W2630837129","https://openalex.org/W2737258237","https://openalex.org/W2738423991","https://openalex.org/W2740144340","https://openalex.org/W2743142445","https://openalex.org/W2776638780","https://openalex.org/W2782934949","https://openalex.org/W2787091153","https://openalex.org/W2793091350","https://openalex.org/W2793461576","https://openalex.org/W2894081147","https://openalex.org/W2899315938","https://openalex.org/W2909156520","https://openalex.org/W2951991161","https://openalex.org/W2952637581","https://openalex.org/W2953139137","https://openalex.org/W2953391683","https://openalex.org/W2963659230","https://openalex.org/W2963728677","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W3105127913","https://openalex.org/W4242516996","https://openalex.org/W4248710273","https://openalex.org/W4308909683"],"related_works":["https://openalex.org/W2022849497","https://openalex.org/W3081299480","https://openalex.org/W2407190427","https://openalex.org/W2907584218","https://openalex.org/W2919210741","https://openalex.org/W3002446410","https://openalex.org/W4390224712","https://openalex.org/W4322096758","https://openalex.org/W2748667022","https://openalex.org/W3211770882"],"abstract_inverted_index":{"Satellite":[0],"image":[1,51],"classification":[2,52],"is":[3],"essential":[4],"for":[5],"many":[6],"socio-economic":[7],"and":[8,17,21,47,69],"environmental":[9],"applications":[10],"of":[11,23,41,109,124],"geographic":[12],"information":[13],"systems,":[14],"including":[15],"urban":[16],"regional":[18],"planning,":[19],"conservation":[20],"management":[22],"natural":[24],"resources,":[25],"etc.":[26],"In":[27,97],"this":[28],"paper,":[29],"we":[30,55],"propose":[31],"a":[32],"deep":[33],"learning":[34],"architecture":[35],"to":[36,50,89,105],"perform":[37],"the":[38,57,66,73,80,84,107,110,115,118,122],"pixel-level":[39],"understanding":[40],"high":[42],"spatial":[43,58],"resolution":[44],"satellite":[45],"images":[46],"apply":[48],"it":[49,71],"tasks.":[53],"Specifically,":[54],"augment":[56],"pyramid":[59],"pooling":[60,95],"module":[61],"with":[62,114],"image-level":[63],"features":[64],"encoding":[65],"global":[67],"context,":[68],"integrate":[70],"into":[72],"U-Net":[74,87],"structure.":[75],"The":[76],"proposed":[77,111],"model":[78],"solves":[79],"problem":[81],"consisting":[82],"in":[83],"fact":[85],"that":[86],"tends":[88],"lose":[90],"object":[91],"boundaries":[92],"after":[93],"multiple":[94],"operations.":[96],"our":[98,125],"experiments,":[99],"two":[100],"public":[101],"datasets":[102],"are":[103],"used":[104],"assess":[106],"performance":[108],"model.":[112],"Comparison":[113],"results":[116],"from":[117],"published":[119],"algorithms":[120],"demonstrates":[121],"effectiveness":[123],"approach.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2020-12-07T00:00:00"}
