{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T13:05:35Z","timestamp":1780319135522,"version":"3.54.1"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T00:00:00Z","timestamp":1689465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T00:00:00Z","timestamp":1689465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000266","name":"National Geospatial-Intelligence Agency","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000266","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,16]]},"DOI":"10.1109\/igarss52108.2023.10282009","type":"proceedings-article","created":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T17:42:53Z","timestamp":1697823773000},"page":"5431-5434","source":"Crossref","is-referenced-by-count":6,"title":["Graph-Based Active Learning for Surface Water and Sediment Detection in Multispectral Images"],"prefix":"10.1109","author":[{"given":"Bohan","family":"Chen","sequence":"first","affiliation":[{"name":"University of California,Los Angeles. Math Dept.,Los Angeles,CA,USA,90095"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kevin","family":"Miller","sequence":"additional","affiliation":[{"name":"University of Texas,Austin. Oden Institute for Computational Engineering and Sciences,Austin,TX,USA,78712"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea L.","family":"Bertozzi","sequence":"additional","affiliation":[{"name":"University of California,Los Angeles. Math Dept.,Los Angeles,CA,USA,90095"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jon","family":"Schwenk","sequence":"additional","affiliation":[{"name":"Los Alamos National Laboratory,Earth & Env. Sci. Division,NM,USA,87545"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Efficient graph-based active learning with probit likelihood via Gaussian approximations","author":"miller","year":"2020","journal-title":"ICML Workshop on Experimental Design and Active Learning"},{"key":"ref12","first-page":"912","article-title":"Semi-supervised learning using Gaussian fields and harmonic functions","author":"zhu","year":"2003","journal-title":"Proceedings of the 20th International Conference on Machine Learning (ICML-03)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s42967-023-00284-8"},{"key":"ref14","article-title":"Model-change active learning in graph-based semi-supervised learning","author":"miller","year":"2021"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1117\/12.2618847"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2018.03.028"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-03262-3"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-8789-5_16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.1995.598994"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/2016EA000196"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2007.04.011"},{"key":"ref9","article-title":"RiverPIXELS: Paired Landsat images and expert-labeled sediment and water pixels for a selection of rivers v1.0. a global, high-resolution river network model for improved flood risk prediction","author":"schwenk","year":"2022","journal-title":"Tech Rep ESS-DIVE Deep Insight for Earth Science Data"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1038\/nature20584","article-title":"High-resolution mapping of global surface water and its long-term changes","volume":"540","author":"pekel","year":"2016","journal-title":"Nature"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2020.125781"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2953261"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/rs11040374"}],"event":{"name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","location":"Pasadena, CA, USA","start":{"date-parts":[[2023,7,16]]},"end":{"date-parts":[[2023,7,21]]}},"container-title":["IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10281394\/10281399\/10282009.pdf?arnumber=10282009","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T19:01:37Z","timestamp":1699297297000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10282009\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,16]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/igarss52108.2023.10282009","relation":{},"subject":[],"published":{"date-parts":[[2023,7,16]]}}}