{"id":"https://openalex.org/W4368227457","doi":"https://doi.org/10.1109/iccae56788.2023.10111467","title":"A Survey on Mapping of Urban Green Spaces within Remote Sensing Data Using Machine Learning &amp; Deep Learning Techniques","display_name":"A Survey on Mapping of Urban Green Spaces within Remote Sensing Data Using Machine Learning &amp; Deep Learning Techniques","publication_year":2023,"publication_date":"2023-03-03","ids":{"openalex":"https://openalex.org/W4368227457","doi":"https://doi.org/10.1109/iccae56788.2023.10111467"},"language":"en","primary_location":{"id":"doi:10.1109/iccae56788.2023.10111467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccae56788.2023.10111467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","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/A5048645332","display_name":"Smita Sunil Burrewar","orcid":null},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Smita Sunil Burrewar","raw_affiliation_strings":["National Institute of Technology Patna,Architecture &#x0026; Planning Department,Patna,Bihar"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Patna,Architecture &#x0026; Planning Department,Patna,Bihar","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018784388","display_name":"Mazharul Haque","orcid":"https://orcid.org/0000-0002-5224-8636"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mazharul Haque","raw_affiliation_strings":["National Institute of Technology Patna,Architecture &#x0026; Planning Department,Patna,Bihar"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Patna,Architecture &#x0026; Planning Department,Patna,Bihar","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089128489","display_name":"Tanwir Uddin Haider","orcid":null},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanwir Uddin Haider","raw_affiliation_strings":["National Institute of Technology Patna,Computer Science &#x0026; Engineering Department,Patna,Bihar"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Patna,Computer Science &#x0026; Engineering Department,Patna,Bihar","institution_ids":["https://openalex.org/I11793825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048645332"],"corresponding_institution_ids":["https://openalex.org/I11793825"],"apc_list":null,"apc_paid":null,"fwci":1.5345,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8180776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"30","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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":0.9896000027656555,"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":0.6940174102783203},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6014541387557983},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.58831387758255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5384959578514099},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5113641619682312},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.49616727232933044},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4782349467277527},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4432852864265442},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4396608769893646},{"id":"https://openalex.org/keywords/urban-planning","display_name":"Urban planning","score":0.4370046854019165},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3639901280403137},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3204585909843445},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10836595296859741}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6940174102783203},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6014541387557983},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.58831387758255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5384959578514099},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5113641619682312},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.49616727232933044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4782349467277527},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4432852864265442},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4396608769893646},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.4370046854019165},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3639901280403137},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3204585909843445},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10836595296859741},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/iccae56788.2023.10111467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccae56788.2023.10111467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6899999976158142,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1745334888","https://openalex.org/W1912954554","https://openalex.org/W2098676252","https://openalex.org/W2125658166","https://openalex.org/W2248723555","https://openalex.org/W2274039986","https://openalex.org/W2294123605","https://openalex.org/W2359817795","https://openalex.org/W2395611524","https://openalex.org/W2412588858","https://openalex.org/W2580520152","https://openalex.org/W2767886251","https://openalex.org/W2780830043","https://openalex.org/W2803946774","https://openalex.org/W2882994955","https://openalex.org/W2907435095","https://openalex.org/W2913323966","https://openalex.org/W2919115771","https://openalex.org/W2921494209","https://openalex.org/W2962852641","https://openalex.org/W3017059353","https://openalex.org/W3029149175","https://openalex.org/W3039045927","https://openalex.org/W3039295076","https://openalex.org/W3040094586","https://openalex.org/W3041298401","https://openalex.org/W3167661945","https://openalex.org/W4385161151","https://openalex.org/W6691541466","https://openalex.org/W6747342584","https://openalex.org/W6760410619","https://openalex.org/W6780282456","https://openalex.org/W6780374660"],"related_works":["https://openalex.org/W4367313141","https://openalex.org/W2004086023","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"For":[0,149],"environmental":[1],"protection,":[2],"urban":[3,10,13,35,44,62,68,106,134],"planning,":[4],"monitoring,":[5],"and":[6,50,88,102,123,140,146,178,204],"management":[7],"of":[8,23,42,54,82,93,133,152],"the":[9,80,131,150],"ecosystem,":[11],"mapping":[12,43,132],"green":[14,36,45,63,69,135],"spaces":[15,46,70],"is":[16,57],"a":[17,52,90,113],"crucial":[18],"undertaking.":[19],"A":[20],"vital":[21],"source":[22],"information":[24,104,142],"for":[25],"United":[26],"Nations":[27],"Sustainable":[28],"Development":[29],"Goal":[30],"11.7":[31],"could":[32],"come":[33],"from":[34],"space":[37,64],"mapping.":[38],"The":[39],"standard":[40],"method":[41],"requires":[47],"field":[48],"measurements":[49],"takes":[51],"lot":[53],"time.":[55],"It":[56],"also":[58],"important":[59],"to":[60,77,111,129,212],"update":[61],"maps":[65],"periodically":[66],"because":[67],"can":[71,163,209],"change":[72],"quickly":[73],"over":[74,105],"time":[75,138],"due":[76],"development.":[78],"With":[79],"advent":[81],"high-resolution":[83],"satellite":[84],"sensors":[85],"like":[86,170],"Sentinel-1":[87],"Sentinel-2,":[89],"large":[91],"number":[92],"remote":[94,124,214],"sensing":[95,125,160,215],"images":[96],"may":[97,126],"be":[98,127,157,164,210],"gathered,":[99],"providing":[100],"quick":[101],"precise":[103],"areas.":[107],"This":[108],"work":[109],"intends":[110],"offer":[112],"new":[114],"perspective":[115],"on":[116],"how":[117],"crowd":[118],"sourced":[119],"geospatial":[120],"big":[121],"data":[122,155,162],"combined":[128],"enhance":[130],"spaces,":[136],"including":[137],"optimization":[139],"accurate":[141],"through":[143],"machine":[144,167],"learning":[145,168,184],"deep":[147,183],"learning.":[148],"revitalization":[151],"cities,":[153],"this":[154],"will":[156],"valuable.":[158],"Remote":[159],"imagery":[161],"classified":[165],"using":[166],"techniques":[169,185],"Support":[171],"vector":[172],"machines":[173],"(SVM),":[174],"Random":[175],"forests":[176],"(RF),":[177],"Naive":[179],"Bayes":[180],"(NB).":[181],"In":[182],"such":[186],"as":[187],"Long":[188],"Short-Term":[189],"Memory":[190],"(LSTM),":[191],"Convolutional":[192],"Neural":[193,206],"Network":[194],"(CNN),":[195],"K":[196],"Nearest":[197],"Neighbor":[198],"(KNN),":[199],"Generative":[200],"Adversarial":[201],"Networks":[202,207],"(GAN),":[203],"Recurrent":[205],"(RNN)":[208],"used":[211],"classify":[213],"images.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
