{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,9]],"date-time":"2025-11-09T03:45:53Z","timestamp":1762659953519,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,6,12]],"date-time":"2020-06-12T00:00:00Z","timestamp":1591920000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,6,12]]},"DOI":"10.1145\/3396851.3397681","type":"proceedings-article","created":{"date-parts":[[2020,6,18]],"date-time":"2020-06-18T22:03:20Z","timestamp":1592517800000},"page":"308-313","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["Using Satellite and Aerial Imagery for Identification of Solar PV"],"prefix":"10.1145","author":[{"given":"Julian","family":"de Hoog","sequence":"first","affiliation":[{"name":"IBM Research Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Maetschke","sequence":"additional","affiliation":[{"name":"IBM Research Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Ilfrich","sequence":"additional","affiliation":[{"name":"IBM Research Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramachandra Rao","family":"Kolluri","sequence":"additional","affiliation":[{"name":"IBM Research Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,6,18]]},"reference":[{"volume-title":"https:\/\/www.iea.org\/reports\/renewables-2019 Accessed","year":"2020","author":"International Energy Agency","key":"e_1_3_2_1_1_1"},{"volume-title":"Bertrand Le Saux, and S\u00e9bastien Lef\u00e8vre","year":"2016","author":"Audebert Nicolas","key":"e_1_3_2_1_2_1"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.106"},{"volume-title":"Malof","year":"2018","author":"Camilo Joseph A.","key":"e_1_3_2_1_5_1"},{"volume-title":"DeepSolaris: Automatically detect solar panels with aerial photos. https:\/\/www.cbs.nl\/en-gb\/our-services\/innovation\/project\/automatically-detect-solar-panels-with-aerial-photos [Online","year":"2020","author":"DeepSolaris CBS","key":"e_1_3_2_1_6_1"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3276774.3276782"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3152042.3152067"},{"key":"e_1_3_2_1_9_1","unstructured":"R. L. Curier T. J. A. De Jong Katharina Strauch Katharina Cramer Natalie Rosenski Clara Schartner M. Debusschere Hannah Ziemons Deniz Iren and Stefano Bromuri. 2018. Monitoring spatial sustainable development: Semi-automated analysis of satellite and aerial images for energy transition and sustainability indicators. arXiv:1810.04881 [cs.CV]  R. L. Curier T. J. A. De Jong Katharina Strauch Katharina Cramer Natalie Rosenski Clara Schartner M. Debusschere Hannah Ziemons Deniz Iren and Stefano Bromuri. 2018. Monitoring spatial sustainable development: Semi-automated analysis of satellite and aerial images for energy transition and sustainability indicators. arXiv:1810.04881 [cs.CV]"},{"volume-title":"Sentinel-2 MSI Overview. https:\/\/sentinel.esa.int\/web\/sentinel\/user-guides\/sentinel-2-msi\/overview Accessed","year":"2020","author":"ESA.","key":"e_1_3_2_1_10_1"},{"volume-title":"New Energy Outlook","year":"2019","author":"Energy Finance Bloomberg New","key":"e_1_3_2_1_11_1"},{"volume-title":"https:\/\/www.google.com\/get\/sunroof Accessed","year":"2020","author":"Sunroof Project","key":"e_1_3_2_1_12_1"},{"volume-title":"https:\/\/www.google.com\/earth\/ Accessed","year":"2020","author":"Earth Google","key":"e_1_3_2_1_13_1"},{"key":"e_1_3_2_1_14_1","unstructured":"Alan Hope. 2017. Solar panel owners must register or face fine. http:\/\/www.flanderstoday.eu\/current-affairs\/solar-panel-owners-must-register-or-face-fine Accessed 6 February 2020.  Alan Hope. 2017. Solar panel owners must register or face fine. http:\/\/www.flanderstoday.eu\/current-affairs\/solar-panel-owners-must-register-or-face-fine Accessed 6 February 2020."},{"key":"e_1_3_2_1_15_1","unstructured":"Xin Hou Biao Wang Wanqi Hu Lei Yin and Haishan Wu. 2019. SolarNet: A Deep Learning Framework to Map Solar Power Plants In China From Satellite Imagery. arXiv:1912.03685 [cs.CV]  Xin Hou Biao Wang Wanqi Hu Lei Yin and Haishan Wu. 2019. SolarNet: A Deep Learning Framework to Map Solar Power Plants In China From Satellite Imagery. arXiv:1912.03685 [cs.CV]"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1155\/ASP.2005.2196"},{"key":"e_1_3_2_1_17_1","volume-title":"AGU Fall Meeting Abstracts","volume":"2018","author":"Klein L.","year":"1873"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330741"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.08.191"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8127092"},{"volume-title":"2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA). 650--654","author":"Malof J. M.","key":"e_1_3_2_1_21_1"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRERA.2015.7418643"},{"volume-title":"Hinton","year":"2010","author":"Mnih Volodymyr","key":"e_1_3_2_1_23_1"},{"volume-title":"https:\/\/landsat.gsfc.nasa.gov\/ Accessed","year":"2020","author":"Landsat USGS.","key":"e_1_3_2_1_24_1"},{"volume-title":"National Agriculture Imagery Program (NAIP). https:\/\/www.fsa.usda.gov\/programs-and-services\/aerial-photography\/imagery-programs\/naip-imagery\/ Accessed","year":"2020","author":"United States Department of Agriculture Farm Service Agency. 2020.","key":"e_1_3_2_1_25_1"},{"volume-title":"Weekend project: Detecting solar panels from satellite imagery. https:\/\/towardsdatascience.com\/weekend-project-detecting-solar-panels-from-satellite-imagery-f6f5d5e0da40 [Online","year":"2020","author":"Padarian Jose","key":"e_1_3_2_1_26_1"},{"key":"e_1_3_2_1_27_1","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. arXiv:1409.1556 [cs.CV]  Karen Simonyan and Andrew Zisserman. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. arXiv:1409.1556 [cs.CV]"},{"key":"e_1_3_2_1_28_1","unstructured":"Kostas Stamatiou. 2018. How We Used Deep Learning to Identify Solar Panels on 15 Million Buildings. http:\/\/blog.digitalglobe.com\/technologies\/how-we-used-deep-learning-to-identify-solar-panels-on-15-million-buildings\/ [Online; Last accessed Ol-Feb-2020].  Kostas Stamatiou. 2018. How We Used Deep Learning to Identify Solar Panels on 15 Million Buildings. http:\/\/blog.digitalglobe.com\/technologies\/how-we-used-deep-learning-to-identify-solar-panels-on-15-million-buildings\/ [Online; Last accessed Ol-Feb-2020]."},{"volume-title":"https:\/\/www.usgs.gov\/core-science-systems\/national-geospatial-program\/imagery Accessed","year":"2020","author":"Geological Survey US","key":"e_1_3_2_1_29_1"},{"volume-title":"https:\/\/earthexplorer.usgs.gov\/ Accessed","year":"2020","author":"United States Geological Survey. 2020. Earth Explorer.","key":"e_1_3_2_1_30_1"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.joule.2018.11.021"},{"volume-title":"Automatic Building Extraction in Aerial Scenes Using Convolutional Networks. CoRR abs\/1602.06564","year":"2016","author":"Yuan Jiangye","key":"e_1_3_2_1_32_1"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2016.7840915"}],"event":{"name":"e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems","sponsor":["SIGEnergy ACM Special Interest Group on Energy Systems and Informatics"],"location":"Virtual Event Australia","acronym":"e-Energy '20"},"container-title":["Proceedings of the Eleventh ACM International Conference on Future Energy Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3396851.3397681","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3396851.3397681","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:33:29Z","timestamp":1750199609000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3396851.3397681"}},"subtitle":["State of the Art and Research Opportunities"],"short-title":[],"issued":{"date-parts":[[2020,6,12]]},"references-count":33,"alternative-id":["10.1145\/3396851.3397681","10.1145\/3396851"],"URL":"https:\/\/doi.org\/10.1145\/3396851.3397681","relation":{},"subject":[],"published":{"date-parts":[[2020,6,12]]},"assertion":[{"value":"2020-06-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}