{"id":"https://openalex.org/W4400520902","doi":"https://doi.org/10.1016/j.eswa.2024.124751","title":"CNNs for remote extraction of urban features: A survey-driven benchmarking","display_name":"CNNs for remote extraction of urban features: A survey-driven benchmarking","publication_year":2024,"publication_date":"2024-07-11","ids":{"openalex":"https://openalex.org/W4400520902","doi":"https://doi.org/10.1016/j.eswa.2024.124751"},"language":"en","primary_location":{"id":"doi:10.1016/j.eswa.2024.124751","doi":"https://doi.org/10.1016/j.eswa.2024.124751","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.eswa.2024.124751","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","dongbi-c","doyens","fnege-3","jufo-2","ki-jl-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.eswa.2024.124751","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007445923","display_name":"Bipul Neupane","orcid":"https://orcid.org/0000-0002-5331-9897","observed_orcids":["https://orcid.org/0000-0002-5331-9897"]},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Bipul Neupane","raw_affiliation_strings":["Department of Infrastructure Engineering, Faculty of Engineering and IT, The University of Melbourne, Parkville, Melbourne, 3010, VIC, Australia","Earth Observation and AI Research Group, Faculty of Engineering and IT, The University of Melbourne, Parkville, Melbourne, 3010, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5331-9897","affiliations":[{"raw_affiliation_string":"Department of Infrastructure Engineering, Faculty of Engineering and IT, The University of Melbourne, Parkville, Melbourne, 3010, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Earth Observation and AI Research Group, Faculty of Engineering and IT, The University of Melbourne, Parkville, Melbourne, 3010, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084255329","display_name":"Jagannath Aryal","orcid":"https://orcid.org/0000-0002-4875-2127","observed_orcids":["https://orcid.org/0000-0002-4875-2127"]},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jagannath Aryal","raw_affiliation_strings":["Department of Infrastructure Engineering, Faculty of Engineering and IT, The University of Melbourne, Parkville, Melbourne, 3010, VIC, Australia","Earth Observation and AI Research Group, Faculty of Engineering and IT, The University of Melbourne, Parkville, Melbourne, 3010, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4875-2127","affiliations":[{"raw_affiliation_string":"Department of Infrastructure Engineering, Faculty of Engineering and IT, The University of Melbourne, Parkville, Melbourne, 3010, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Earth Observation and AI Research Group, Faculty of Engineering and IT, The University of Melbourne, Parkville, Melbourne, 3010, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075301188","display_name":"Abbas Rajabifard","orcid":"https://orcid.org/0000-0002-4256-3173","observed_orcids":["https://orcid.org/0000-0002-4256-3173"]},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abbas Rajabifard","raw_affiliation_strings":["Department of Infrastructure Engineering, Faculty of Engineering and IT, The University of Melbourne, Parkville, Melbourne, 3010, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4256-3173","affiliations":[{"raw_affiliation_string":"Department of Infrastructure Engineering, Faculty of Engineering and IT, The University of Melbourne, Parkville, Melbourne, 3010, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007445923"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":{"value":3320,"currency":"USD","value_usd":3320},"apc_paid":{"value":3320,"currency":"USD","value_usd":3320},"fwci":2.1324,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.88477688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"255","issue":null,"first_page":"124751","last_page":"124751"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9984999895095825,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9984999895095825,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0010000000474974513,"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":0.00019999999494757503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/urban-feature-extraction","display_name":"urban feature extraction","score":0.906000018119812},{"id":"https://openalex.org/keywords/building-detection","display_name":"building detection","score":0.7789999842643738},{"id":"https://openalex.org/keywords/road-extraction","display_name":"road extraction","score":0.9010000228881836},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9710000157356262},{"id":"https://openalex.org/keywords/benchmarking","display_name":"benchmarking","score":0.675000011920929},{"id":"https://openalex.org/keywords/encoder-decoder-architecture","display_name":"encoder-decoder architecture","score":0.7390000224113464},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.9129999876022339},{"id":"https://openalex.org/keywords/whu-building-dataset","display_name":"WHU building dataset","score":0.9850000143051147}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8872741460800171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7835706472396851},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5293389558792114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4709523618221283},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3785261809825897},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3676329255104065},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09121540188789368},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/j.eswa.2024.124751","doi":"https://doi.org/10.1016/j.eswa.2024.124751","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.eswa.2024.124751","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","dongbi-c","doyens","fnege-3","jufo-2","ki-jl-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"},{"id":"doi:10.2139/ssrn.4537529","doi":"https://doi.org/10.2139/ssrn.4537529","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.4537529","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},{"id":"pmh:oai:jupiter.its.unimelb.edu.au:11343/349623","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11343/349623","pdf_url":null,"source":{"id":"https://openalex.org/S4377196259","display_name":"Minerva Access (University of Melbourne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I165779595","host_organization_name":"The University of Melbourne","host_organization_lineage":["https://openalex.org/I165779595"],"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":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1016/j.eswa.2024.124751","doi":"https://doi.org/10.1016/j.eswa.2024.124751","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.eswa.2024.124751","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","dongbi-c","doyens","fnege-3","jufo-2","ki-jl-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8787999749183655,"display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320974","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":221,"referenced_works":["https://openalex.org/W189596042","https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1696305814","https://openalex.org/W1866072925","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W1921293667","https://openalex.org/W1984792953","https://openalex.org/W2010315761","https://openalex.org/W2094455438","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2100495367","https://openalex.org/W2118332032","https://openalex.org/W2145094598","https://openalex.org/W2147527908","https://openalex.org/W2147800946","https://openalex.org/W2150220236","https://openalex.org/W2153633422","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2267317359","https://openalex.org/W2274287116","https://openalex.org/W2332685062","https://openalex.org/W2395611524","https://openalex.org/W2416190443","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2551751523","https://openalex.org/W2553303224","https://openalex.org/W2559966999","https://openalex.org/W2560023338","https://openalex.org/W2565428746","https://openalex.org/W2565639579","https://openalex.org/W2604272474","https://openalex.org/W2610528085","https://openalex.org/W2612445135","https://openalex.org/W2618943282","https://openalex.org/W2623331213","https://openalex.org/W2630837129","https://openalex.org/W2735039185","https://openalex.org/W2737129951","https://openalex.org/W2750722971","https://openalex.org/W2752782242","https://openalex.org/W2766299269","https://openalex.org/W2770904017","https://openalex.org/W2774320778","https://openalex.org/W2778539913","https://openalex.org/W2786492053","https://openalex.org/W2787614951","https://openalex.org/W2790482089","https://openalex.org/W2799924016","https://openalex.org/W2802942478","https://openalex.org/W2808586699","https://openalex.org/W2814568980","https://openalex.org/W2883423620","https://openalex.org/W2884561390","https://openalex.org/W2884822772","https://openalex.org/W2886042776","https://openalex.org/W2886397424","https://openalex.org/W2886953980","https://openalex.org/W2890859091","https://openalex.org/W2897452159","https://openalex.org/W2897936062","https://openalex.org/W2900094710","https://openalex.org/W2901442382","https://openalex.org/W2902436637","https://openalex.org/W2904650595","https://openalex.org/W2907895806","https://openalex.org/W2908020915","https://openalex.org/W2908753233","https://openalex.org/W2909156520","https://openalex.org/W2912114399","https://openalex.org/W2913160016","https://openalex.org/W2915254566","https://openalex.org/W2915731581","https://openalex.org/W2915971115","https://openalex.org/W2918958705","https://openalex.org/W2922509574","https://openalex.org/W2928165649","https://openalex.org/W2929499422","https://openalex.org/W2943227603","https://openalex.org/W2943295486","https://openalex.org/W2944779197","https://openalex.org/W2945318753","https://openalex.org/W2946948417","https://openalex.org/W2952234521","https://openalex.org/W2952335785","https://openalex.org/W2954896312","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2963351448","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963958441","https://openalex.org/W2964309882","https://openalex.org/W2964350391","https://openalex.org/W2965383240","https://openalex.org/W2972623730","https://openalex.org/W2982206001","https://openalex.org/W2996290406","https://openalex.org/W2999309192","https://openalex.org/W2999479658","https://openalex.org/W3000376294","https://openalex.org/W3007268491","https://openalex.org/W3008156909","https://openalex.org/W3011248632","https://openalex.org/W3012610736","https://openalex.org/W3014372673","https://openalex.org/W3014641072","https://openalex.org/W3015788359","https://openalex.org/W3016265891","https://openalex.org/W3016719260","https://openalex.org/W3023344188","https://openalex.org/W3025884272","https://openalex.org/W3034053233","https://openalex.org/W3034344052","https://openalex.org/W3037896803","https://openalex.org/W3038817281","https://openalex.org/W3045828591","https://openalex.org/W3045959427","https://openalex.org/W3046027728","https://openalex.org/W3048447490","https://openalex.org/W3049335070","https://openalex.org/W3081791696","https://openalex.org/W3086017879","https://openalex.org/W3088226460","https://openalex.org/W3090970712","https://openalex.org/W3091811842","https://openalex.org/W3098283929","https://openalex.org/W3100006985","https://openalex.org/W3100561351","https://openalex.org/W3103294501","https://openalex.org/W3106860957","https://openalex.org/W3119784490","https://openalex.org/W3121000959","https://openalex.org/W3122507398","https://openalex.org/W3126435384","https://openalex.org/W3127751679","https://openalex.org/W3128349502","https://openalex.org/W3129544296","https://openalex.org/W3157124226","https://openalex.org/W3157821094","https://openalex.org/W3167661945","https://openalex.org/W3168010685","https://openalex.org/W3174299795","https://openalex.org/W3175199994","https://openalex.org/W3182256037","https://openalex.org/W3184607044","https://openalex.org/W3194462798","https://openalex.org/W3195342722","https://openalex.org/W3196386002","https://openalex.org/W3197958969","https://openalex.org/W3201387179","https://openalex.org/W3203105104","https://openalex.org/W3204166336","https://openalex.org/W3205000623","https://openalex.org/W3208306314","https://openalex.org/W3208601209","https://openalex.org/W3209452634","https://openalex.org/W3213792100","https://openalex.org/W3217745064","https://openalex.org/W4205857269","https://openalex.org/W4205908394","https://openalex.org/W4210427448","https://openalex.org/W4213205652","https://openalex.org/W4214760051","https://openalex.org/W4221008393","https://openalex.org/W4221115328","https://openalex.org/W4224268396","https://openalex.org/W4225288408","https://openalex.org/W4226280350","https://openalex.org/W4226485547","https://openalex.org/W4234842379","https://openalex.org/W4244364296","https://openalex.org/W4280496365","https://openalex.org/W4281988129","https://openalex.org/W4282967568","https://openalex.org/W4283450732","https://openalex.org/W4285038156","https://openalex.org/W4285178246","https://openalex.org/W4285248677","https://openalex.org/W4287977192","https://openalex.org/W4290973078","https://openalex.org/W4292994023","https://openalex.org/W4293062000","https://openalex.org/W4293215018","https://openalex.org/W4293444682","https://openalex.org/W4294142531","https://openalex.org/W4296473301","https://openalex.org/W4296694959","https://openalex.org/W4296829473","https://openalex.org/W4297539140","https://openalex.org/W4301409532","https://openalex.org/W4303980708","https://openalex.org/W4306166990","https://openalex.org/W4307291159","https://openalex.org/W4307634430","https://openalex.org/W4309124306","https://openalex.org/W4309346524","https://openalex.org/W4312461196","https://openalex.org/W4312584261","https://openalex.org/W4312744282","https://openalex.org/W4312807131","https://openalex.org/W4313411083","https://openalex.org/W4313415801","https://openalex.org/W4316466493","https://openalex.org/W4318615298","https://openalex.org/W4319998076","https://openalex.org/W4320472163","https://openalex.org/W4320920573","https://openalex.org/W4321232185","https://openalex.org/W4327695706","https://openalex.org/W4386076083","https://openalex.org/W4387019919","https://openalex.org/W4387802362","https://openalex.org/W4394643157","https://openalex.org/W6793164127"],"related_works":["https://openalex.org/W2623490820","https://openalex.org/W4281627243","https://openalex.org/W4229014339","https://openalex.org/W2803704803","https://openalex.org/W4285801640","https://openalex.org/W7204519795","https://openalex.org/W2774038444","https://openalex.org/W2899151854","https://openalex.org/W3003551481","https://openalex.org/W4281396110"],"abstract_inverted_index":{"Accurate":[0],"extraction":[1,35],"of":[2,17,20,33,51,72,98,105,113,172,225,239],"urban":[3,21,114,124],"features":[4],"such":[5,34],"as":[6,191],"buildings":[7],"and":[8,28,59,80,134,150,156,181,201,215,233,242],"roads":[9],"lays":[10],"the":[11,14,60,111,121,142,148,173,205,212,237],"foundation":[12],"for":[13,120,230],"current":[15],"trends":[16],"digital":[18],"twins":[19],"systems":[22],"to":[23,55,109],"support":[24],"planning,":[25],"monitoring,":[26],"navigation,":[27],"decision":[29],"processes.":[30],"The":[31,48,68,117,185,199,219],"process":[32],"involves":[36],"training":[37],"convolutional":[38],"neural":[39],"networks":[40],"(CNNs)":[41],"on":[42,211],"high-resolution":[43],"earth":[44,240],"observation":[45,241],"(EO)":[46],"images.":[47],"spatial":[49],"resolution":[50],"images":[52],"has":[53],"increased":[54],"a":[56,90,95,102,163],"centimetre":[57],"level":[58],"CNNs":[61,99,138,153,200,226],"are":[62,86,139,154,208],"fast":[63],"evolving":[64],"in":[65,77,141,158,194,236],"computer":[66,143,243],"vision.":[67,244],"last":[69],"10":[70],"years":[71],"this":[73,222],"development":[74],"have":[75],"resulted":[76],"both":[78,231],"high-performance":[79],"computationally":[81],"efficient":[82],"CNNs,":[83],"but":[84],"they":[85],"merely":[87],"benchmarked":[88,210],"under":[89,166],"uniform":[91,167],"setting.":[92],"We":[93],"present":[94],"survey-driven":[96,223],"benchmark":[97,128,164,224],"starting":[100],"with":[101,178,204],"systematic":[103],"survey":[104,118,149],"165":[106],"research":[107],"articles":[108],"understand":[110],"state-of-the-art":[112,196],"feature":[115],"extraction.":[116],"looks":[119],"most":[122],"prominent":[123],"feature,":[125],"EO":[126],"source,":[127],"dataset,":[129],"CNN-based":[130],"deep":[131],"learning":[132],"configuration,":[133],"hyperparameters.":[135],"Further,":[136],"more":[137],"searched":[140],"vision":[144],"domain.":[145],"Identified":[146],"from":[147,221],"search,":[151],"65":[152],"trained":[155],"evaluated":[157],"an":[159,192],"encoder\u2013decoder":[160,197],"configuration":[161],"using":[162],"dataset":[165],"settings.":[168],"Extensive":[169],"hyperparameter":[170],"tuning":[171],"best-performing":[174],"CNN":[175,187],"is":[176,188],"performed":[177],"six":[179],"optimisers":[180],"nine":[182],"loss":[183],"functions.":[184],"tuned":[186],"then":[189],"tested":[190],"encoder":[193],"other":[195],"networks.":[198],"network":[202],"configurations":[203],"highest":[206],"scores":[207],"further":[209],"Massachusetts":[213],"Building":[214,217],"WHU":[216],"datasets.":[218],"findings":[220],"will":[227],"be":[228],"useful":[229],"academia":[232],"industry":[234],"involved":[235],"science":[238]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2024-07-12T00:00:00"}