{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:08:49Z","timestamp":1730264929443,"version":"3.28.0"},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T00:00:00Z","timestamp":1658016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T00:00:00Z","timestamp":1658016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,17]]},"DOI":"10.1109\/igarss46834.2022.9884030","type":"proceedings-article","created":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T16:12:24Z","timestamp":1664381544000},"page":"1924-1927","source":"Crossref","is-referenced-by-count":1,"title":["Visualwind: a Novel Video Dataset for Cameras to Sense the Wind"],"prefix":"10.1109","author":[{"given":"Qin","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Exeter,Department of Computer Science,Exeter,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jialang","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew","family":"Crane","sequence":"additional","affiliation":[{"name":"University of Exeter,Department of Computer Science,Exeter,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunbo","family":"Luo","sequence":"additional","affiliation":[{"name":"University of Exeter,Department of Computer Science,Exeter,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref4","first-page":"25","article-title":"Tree motion: following the wind-induced swaying of arboreous individual using a gnss receiver","author":"mascitelli","year":"2019","journal-title":"Italian Journal of Agrometeorology"},{"key":"ref3","first-page":"8735","article-title":"Seeing the wind: Visual wind speed prediction with a coupled convolutional and recurrent neural network","author":"cardona","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.175"},{"key":"ref11","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref5","volume":"438","author":"saucier","year":"1955","journal-title":"Principles of Meteorological Analysis"},{"key":"ref12","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00652"},{"key":"ref7","first-page":"8934","article-title":"Pwcnet: Cnns for optical flow using pyramid, warping, and cost volume","author":"sun","year":"0","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.5194\/nhess-11-2847-2011"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5194\/nhess-14-2487-2014"}],"event":{"name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","start":{"date-parts":[[2022,7,17]]},"location":"Kuala Lumpur, Malaysia","end":{"date-parts":[[2022,7,22]]}},"container-title":["IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9883023\/9883024\/09884030.pdf?arnumber=9884030","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T16:52:00Z","timestamp":1665766320000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9884030\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,17]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1109\/igarss46834.2022.9884030","relation":{},"subject":[],"published":{"date-parts":[[2022,7,17]]}}}