{"id":"https://openalex.org/W3097793836","doi":"https://doi.org/10.1145/3423336.3429349","title":"A geographic computational visual feature database for natural and anthropogenic phenomena analysis from multi-resolution remote sensing imagery","display_name":"A geographic computational visual feature database for natural and anthropogenic phenomena analysis from multi-resolution remote sensing imagery","publication_year":2020,"publication_date":"2020-11-03","ids":{"openalex":"https://openalex.org/W3097793836","doi":"https://doi.org/10.1145/3423336.3429349","mag":"3097793836"},"language":"en","primary_location":{"id":"doi:10.1145/3423336.3429349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3423336.3429349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data","raw_type":"proceedings-article"},"type":"conference-paper","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/A5119780446","display_name":"Yulin Cao","orcid":"https://orcid.org/0009-0001-7927-9459"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yulin Cao","raw_affiliation_strings":["University of Missouri"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Missouri","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027453912","display_name":"Butros M. Dahu","orcid":"https://orcid.org/0000-0001-5880-2450"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Butros M. Dahu","raw_affiliation_strings":["University of Missouri"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Missouri","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051712346","display_name":"Grant J. Scott","orcid":"https://orcid.org/0000-0001-5870-9387"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Grant J. Scott","raw_affiliation_strings":["University of Missouri"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Missouri","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9979000091552734,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7543818950653076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6622682809829712},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.6073920726776123},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.491702139377594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47500813007354736},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.4599018096923828},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45129746198654175},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4444844722747803},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4438970386981964},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42918941378593445},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4100213050842285},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20809799432754517},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13939428329467773}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7543818950653076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6622682809829712},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.6073920726776123},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.491702139377594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47500813007354736},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.4599018096923828},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45129746198654175},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4444844722747803},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4438970386981964},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42918941378593445},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4100213050842285},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20809799432754517},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13939428329467773},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3423336.3429349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3423336.3429349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.5099999904632568},{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2044465660","https://openalex.org/W2108598243","https://openalex.org/W2760340275","https://openalex.org/W2808436940","https://openalex.org/W2940726923","https://openalex.org/W2945554431","https://openalex.org/W2963424940","https://openalex.org/W2981271470","https://openalex.org/W3027938990","https://openalex.org/W4232582099","https://openalex.org/W4248710273","https://openalex.org/W4250176868"],"related_works":["https://openalex.org/W4367313141","https://openalex.org/W2004086023","https://openalex.org/W2733999579","https://openalex.org/W2110217573","https://openalex.org/W4283374591","https://openalex.org/W2044092692","https://openalex.org/W2614621130","https://openalex.org/W4289655544","https://openalex.org/W2547665164","https://openalex.org/W3103111272"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,199,269],"imagery":[2,44,62,68,102,126],"and":[3,12,22,30,52,81,94,127,140,151,158,165,177,204,230,257,276],"sensor":[4,233],"data":[5,243,265],"comes":[6],"in":[7,116],"a":[8,117,137,154,160,189,195,241],"variety":[9,155,161,196],"of":[10,42,48,76,110,125,156,162,175,181,197,250,255,267,274],"spatial":[11],"spectral":[13],"characteristics,":[14],"including":[15,201],"very":[16],"high":[17,100],"resolution":[18,32,41,67,101,232],"images":[19],"from":[20,34,60,217],"spaceborne":[21],"airborne":[23],"sensors,":[24],"as":[25,27,107,279,281],"well":[26,280],"high,":[28],"medium,":[29],"low":[31,66,231],"sensors":[33],"space.":[35],"In":[36,184],"image":[37,129,149,163,215,222],"information":[38,152,176],"mining,":[39],"the":[40,43,46,49,61,74,108,173,178,182,248],"affects":[45],"characteristics":[47,180],"features,":[50],"information,":[51],"knowledge":[53],"that":[54],"can":[55],"be":[56],"extracted":[57],"or":[58,113],"harvested":[59],"pixels.":[63],"For":[64,120],"instance,":[65],"has":[69],"salient":[70],"visual":[71,270],"features":[72,88,150,216,237,271],"on":[73],"scale":[75],"urban":[77],"areas,":[78],"rivers,":[79],"coastlines,":[80],"other":[82],"geographical":[83],"land":[84],"forms.":[85],"These":[86],"large-scale":[87,96],"are":[89,132,211,226,238],"great":[90],"for":[91,193],"environmental":[92],"monitoring":[93],"understanding":[95],"geomorphic":[97],"processes.":[98,259],"However,":[99],"allows":[103],"application":[104],"tasks":[105],"such":[106],"extraction":[109,224],"building":[111],"footprints":[112],"counting":[114],"vehicles":[115],"parking":[118],"lot.":[119],"this":[121,185,263],"reason,":[122],"different":[123,128],"resolutions":[124],"processing":[130,164,194],"techniques":[131,225],"often":[133],"necessary.":[134],"To":[135],"develop":[136,188],"truly":[138],"flexible":[139],"robust":[141],"modeling":[142,254],"capability,":[143],"it":[144],"is":[145],"necessary":[146],"to":[147,172,213,228],"mine":[148],"across":[153],"scales":[157],"using":[159,245],"computer":[166],"vision":[167],"techniques,":[168],"each":[169],"appropriately":[170],"attuned":[171],"type":[174],"spatial-spectral":[179],"imagery.":[183,207],"research,":[186],"we":[187],"multi-resolution,":[190],"multi-sensor":[191],"framework":[192],"remote":[198,268],"imagery,":[200],"MODIS,":[202],"Landsat,":[203],"high-resolution":[205,218],"satellite":[206],"Deep":[208],"neural":[209],"networks":[210],"used":[212],"extract":[214],"images;":[219],"while":[220],"classical":[221],"feature":[223],"applied":[227],"medium":[229],"data.":[234],"The":[235],"various":[236],"agglomerated":[239],"into":[240],"geospatial":[242,253],"cube":[244,266],"PostGIS,":[246],"with":[247],"aim":[249],"facilitating":[251],"advanced":[252],"natural":[256,275],"anthropogenic":[258,277],"We":[260],"demonstrate":[261],"how":[262],"multi-resolution":[264],"facilitates":[272],"analysis":[273],"phenomena,":[278],"discuss":[282],"some":[283],"potential":[284],"future":[285],"applications.":[286]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
