{"id":"https://openalex.org/W4389137469","doi":"https://doi.org/10.1145/3615900.3628772","title":"Multiscale Multifeature Vision Learning for Scalable and Efficient Wastewater Treatment Plant Detection using Hi-Res Satellite Imagery and OSM","display_name":"Multiscale Multifeature Vision Learning for Scalable and Efficient Wastewater Treatment Plant Detection using Hi-Res Satellite Imagery and OSM","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4389137469","doi":"https://doi.org/10.1145/3615900.3628772"},"language":"en","primary_location":{"id":"doi:10.1145/3615900.3628772","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3615900.3628772","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3615900.3628772","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024003809","display_name":"Sukanya Randhawa","orcid":"https://orcid.org/0009-0005-5068-3246"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sukanya Randhawa","raw_affiliation_strings":["Heidelberg Institute for Geoinformation Technology, Heidelberg, Germany"],"raw_orcid":"https://orcid.org/0009-0005-5068-3246","affiliations":[{"raw_affiliation_string":"Heidelberg Institute for Geoinformation Technology, Heidelberg, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103031944","display_name":"Guntaj Randhawa","orcid":"https://orcid.org/0009-0006-3487-9326"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Guntaj Randhawa","raw_affiliation_strings":["GIScience Chair, Institute of Geography, Heidelberg University, Heidelberg, Germany"],"raw_orcid":"https://orcid.org/0009-0006-3487-9326","affiliations":[{"raw_affiliation_string":"GIScience Chair, Institute of Geography, Heidelberg University, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052935994","display_name":"O. A. Sivak","orcid":"https://orcid.org/0009-0006-8708-931X"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Olena Sivak","raw_affiliation_strings":["GIScience Chair, Institute of Geography, Heidelberg University, Heidelberg, Germany"],"raw_orcid":"https://orcid.org/0009-0006-8708-931X","affiliations":[{"raw_affiliation_string":"GIScience Chair, Institute of Geography, Heidelberg University, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000630651","display_name":"Johannes Zech","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Zech","raw_affiliation_strings":["GIScience Chair, Institute of Geography, Heidelberg University, Heidelberg, Germany"],"raw_orcid":"https://orcid.org/0009-0002-3139-6813","affiliations":[{"raw_affiliation_string":"GIScience Chair, Institute of Geography, Heidelberg University, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102811588","display_name":"Maria Martin","orcid":"https://orcid.org/0009-0003-4054-781X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maria Martin","raw_affiliation_strings":["Heidelberg Institute for Geoinformation Technology, Heidelberg, Germany"],"raw_orcid":"https://orcid.org/0009-0003-4054-781X","affiliations":[{"raw_affiliation_string":"Heidelberg Institute for Geoinformation Technology, Heidelberg, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091474205","display_name":"Alexander Zipf","orcid":"https://orcid.org/0000-0003-4916-9838"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Zipf","raw_affiliation_strings":["GIScience Chair, Institute of Geography, Heidelberg University, Heidelberg, Germany","Heidelberg Institute for Geoinformation Technology, Heidelberg, Germany","GIScience Chair, Institute of Geography, Heidelberg University, Heidelberg, Germany Heidelberg Institute for Geoinformation Technology, Heidelberg, Germany"],"raw_orcid":"https://orcid.org/0000-0003-4916-9838","affiliations":[{"raw_affiliation_string":"GIScience Chair, Institute of Geography, Heidelberg University, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]},{"raw_affiliation_string":"Heidelberg Institute for Geoinformation Technology, Heidelberg, Germany","institution_ids":[]},{"raw_affiliation_string":"GIScience Chair, Institute of Geography, Heidelberg University, Heidelberg, Germany Heidelberg Institute for Geoinformation Technology, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045424589","display_name":"Yuze Li","orcid":"https://orcid.org/0000-0001-5184-2724"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yuze Li","raw_affiliation_strings":["GIScience Chair, Institute of Geography, Heidelberg University, Heidelberg, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5184-2724","affiliations":[{"raw_affiliation_string":"GIScience Chair, Institute of Geography, Heidelberg University, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"10","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9970999956130981,"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":0.9970999956130981,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.991599977016449,"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":0.9696000218391418,"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/computer-science","display_name":"Computer science","score":0.8144711256027222},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5942889451980591},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5918400287628174},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5258118510246277},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4710692763328552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4655625820159912},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4626527428627014},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.45406007766723633},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.44174662232398987},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43522369861602783},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4252348244190216},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4101094603538513},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.22667598724365234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8144711256027222},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5942889451980591},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5918400287628174},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5258118510246277},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4710692763328552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4655625820159912},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4626527428627014},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.45406007766723633},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.44174662232398987},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43522369861602783},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4252348244190216},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4101094603538513},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.22667598724365234},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3615900.3628772","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3615900.3628772","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3615900.3628772","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3615900.3628772","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1768488937","https://openalex.org/W2584768951","https://openalex.org/W2593768305","https://openalex.org/W2765376153","https://openalex.org/W2894776549","https://openalex.org/W2909971279","https://openalex.org/W2945719065","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2998115938","https://openalex.org/W3033696290","https://openalex.org/W3037702162","https://openalex.org/W3096609285","https://openalex.org/W3122354773","https://openalex.org/W3138516171","https://openalex.org/W3193979638","https://openalex.org/W4225728415","https://openalex.org/W4226412070","https://openalex.org/W4281790833","https://openalex.org/W4292198479","https://openalex.org/W4311726887","https://openalex.org/W4320476214"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W3209204065","https://openalex.org/W2389214306","https://openalex.org/W2105707930","https://openalex.org/W1755711892","https://openalex.org/W2160907113","https://openalex.org/W2070813941","https://openalex.org/W3109712509"],"abstract_inverted_index":{"Filling":[0],"data":[1,107,118],"gaps":[2],"in":[3,29,34,166],"various":[4],"global":[5,137],"regions":[6],"requires":[7],"a":[8,53],"robust":[9],"approach":[10,86,133],"that":[11],"can":[12],"accurately":[13,78],"provide":[14],"detection":[15,68],"results":[16,164],"from":[17,26],"earth":[18],"observation":[19],"data.":[20,125],"One":[21],"of":[22,64,130],"the":[23,62,128,131],"challenges":[24],"arises":[25],"significant":[27],"heterogeneity":[28],"satellite":[30],"images":[31],"and":[32,36,74,79,96,112,141,169,198],"variation":[33],"features":[35,119],"characteristics":[37],"for":[38,101,134,176,185],"specific":[39],"ground":[40],"objects":[41],"like":[42,156],"Wastewater":[43],"Treatment":[44],"Plants":[45],"(WTPs).":[46],"To":[47],"overcome":[48],"these":[49,103],"challenges,":[50],"we":[51,115],"propose":[52],"novel":[54],"multiscale":[55],"multifeature":[56],"hybrid":[57],"model.":[58],"This":[59],"model":[60,110],"leverages":[61],"power":[63],"deep":[65],"learning-based":[66],"object":[67],"models,":[69],"namely":[70],"Yolov6,":[71],"RTMDET,":[72],"EfficientDET,":[73],"Domain":[75],"Adaptation,":[76],"to":[77,153],"efficiently":[80],"identify":[81],"WTP":[82,149,180],"locations":[83],"worldwide.":[84],"Our":[85,143],"focuses":[87],"on":[88],"performance":[89],"enhancements,":[90],"including":[91],"reduced":[92],"false":[93],"positives":[94],"(FPs)":[95],"broad":[97],"coverage.":[98],"The":[99,159],"strategies":[100],"achieving":[102],"improvements":[104],"involve":[105],"effective":[106],"processing":[108],"approaches,":[109],"tuning,":[111],"adaptation.":[113],"Moreover,":[114,172],"optimize":[116],"training":[117],"using":[120],"Volunteered":[121],"Geographic":[122],"Information":[123],"(VGI)":[124],"We":[126],"demonstrated":[127],"effectiveness":[129],"suggested":[132],"three":[135],"diverse":[136],"regions:":[138],"Germany,":[139],"France,":[140],"Malaysia.":[142],"study":[144],"gives":[145],"new":[146],"insights":[147],"into":[148],"distribution":[150],"when":[151],"compared":[152],"existing":[154],"databases":[155],"OpenStreetMap":[157],"(OSM).":[158],"resulting":[160],"pipeline":[161],"delivers":[162],"good":[163],"even":[165],"challenging":[167],"rural":[168],"urban":[170],"context.":[171],"it":[173],"is":[174,183],"well-suited":[175],"generating":[177],"large":[178],"scale":[179],"datasets,":[181],"which":[182],"useful":[184],"many":[186,199],"applications":[187],"such":[188],"as":[189],"Critical":[190],"Water":[191],"Infrastructure":[192],"mapping,":[193],"Urban":[194],"Planning,":[195],"Climate":[196],"Action":[197],"more.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
