{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T13:20:22Z","timestamp":1775308822130,"version":"3.50.1"},"publisher-location":"New York, New York, USA","reference-count":27,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3287921.3287969","type":"proceedings-article","created":{"date-parts":[[2018,12,13]],"date-time":"2018-12-13T10:45:16Z","timestamp":1544697916000},"page":"281-288","source":"Crossref","is-referenced-by-count":0,"title":["Recover Water Bodies in Multi-spectral Satellite Images with Deep Neural Nets"],"prefix":"10.1145","author":[{"given":"Tuan-Anh D.","family":"Le","sequence":"first","affiliation":[{"name":"Department of Computer Science, VNU-HCM University of Science, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Duc-Tan","family":"Lam","sequence":"additional","affiliation":[{"name":"Department of Computer Science, VNU-HCM University of Science, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Phong","family":"Vo","sequence":"additional","affiliation":[{"name":"Department of Computer Science, VNU-HCM University of Science, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Atsuo","family":"Yoshitaka","sequence":"additional","affiliation":[{"name":"School of Information Science, JAIST, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hoai-Bac","family":"Le","sequence":"additional","affiliation":[{"name":"Department of Computer Science, VNU-HCM University of Science, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","reference":[{"key":"key-10.1145\/3287921.3287969-1","doi-asserted-by":"crossref","unstructured":"Terry Arvidson, Samuel Goward, John Gasch, and Darrel Williams. 2006. Landsat-7 Long-Term Acquisition Plan. Photogrammetric Engineering & Remote Sensing 72, 10 (2006), 1137--1146. https:\/\/doi.org\/doi:10.14358\/PERS.72.10.1137","DOI":"10.14358\/PERS.72.10.1137"},{"key":"key-10.1145\/3287921.3287969-2","doi-asserted-by":"crossref","unstructured":"Marcelo Bertalm&#237;o, Guillermo Sapiro, Vicent Caselles, and C Ballester. 2000. Image inpainting., 417--424 pages.","DOI":"10.1145\/344779.344972"},{"key":"key-10.1145\/3287921.3287969-3","doi-asserted-by":"crossref","unstructured":"Filsa Bioresita, Anne Puissant, Andr&#233; Stumpf, and Jean-Philippe Malet. 2018. A Method for Automatic and Rapid Mapping of Water Surfaces from Sentinel-1 Imagery. Remote Sensing 10, 2 (2018). https:\/\/doi.org\/10.3390\/rs10020217","DOI":"10.3390\/rs10020217"},{"key":"key-10.1145\/3287921.3287969-4","doi-asserted-by":"crossref","unstructured":"Pol R. Coppin and Marvin E. Bauer. 1996. Digital change detection in forest ecosystems with remote sensing imagery. Remote Sensing Reviews 13, 3-4 (1996), 207--234. https:\/\/doi.org\/10.1080\/02757259609532305","DOI":"10.1080\/02757259609532305"},{"key":"key-10.1145\/3287921.3287969-5","doi-asserted-by":"crossref","unstructured":"Monidipa Das, Soumya K. Ghosh, V. M. Chowdary, A. Saikrishnaveni, and R. K. Sharma. 2016. A Probabilistic Nonlinear Model for Forecasting Daily Water Level in Reservoir. Water Resources Management 30, 9 (01 Jul 2016), 3107--3122. https:\/\/doi.org\/10.1007\/s11269-016-1334-6","DOI":"10.1007\/s11269-016-1334-6"},{"key":"key-10.1145\/3287921.3287969-6","doi-asserted-by":"crossref","unstructured":"C. Dong, C. C. Loy, K. He, and X. Tang. 2016. Image Super-Resolution Using Deep Convolutional Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence 38, 2 (Feb 2016), 295--307. https:\/\/doi.org\/10.1109\/TPAMI.2015.2439281","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"key-10.1145\/3287921.3287969-7","doi-asserted-by":"crossref","unstructured":"G. Gao and Y. Gu. 2017. Multitemporal Landsat Missing Data Recovery Based on Tempo-Spectral Angle Model. IEEE Transactions on Geoscience and Remote Sensing 55, 7 (July 2017), 3656--3668. https:\/\/doi.org\/10.1109\/TGRS.2017.2656162","DOI":"10.1109\/TGRS.2017.2656162"},{"key":"key-10.1145\/3287921.3287969-8","doi-asserted-by":"crossref","unstructured":"R. C. Hardie, K. J. Barnard, and E. E. Armstrong. 1997. Joint MAP registration and high-resolution image estimation using a sequence of undersampled images. IEEE Transactions on Image Processing 6, 12 (Dec 1997), 1621--1633. https:\/\/doi.org\/10.1109\/83.650116","DOI":"10.1109\/83.650116"},{"key":"key-10.1145\/3287921.3287969-9","doi-asserted-by":"crossref","unstructured":"X. Li, H. Shen, H. Li, and L. Zhang. 2016. Patch Matching-Based Multitemporal Group Sparse Representation for the Missing Information Reconstruction of Remote-Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9, 8 (Aug 2016), 3629--3641. https:\/\/doi.org\/10.1109\/JSTARS.2016.2533547","DOI":"10.1109\/JSTARS.2016.2533547"},{"key":"key-10.1145\/3287921.3287969-10","doi-asserted-by":"crossref","unstructured":"X. Li, H. Shen, L. Zhang, H. Zhang, and Q. Yuan. 2014. Dead Pixel Completion of Aqua MODIS Band 6 Using a Robust M-Estimator Multiregression. IEEE Geoscience and Remote Sensing Letters 11, 4 (April 2014), 768--772. https:\/\/doi.org\/10.1109\/LGRS.2013.2278626","DOI":"10.1109\/LGRS.2013.2278626"},{"key":"key-10.1145\/3287921.3287969-11","doi-asserted-by":"crossref","unstructured":"C. Lin, K. Lai, Z. Chen, and J. Chen. 2014. Patch-Based Information Reconstruction of Cloud-Contaminated Multitemporal Images. IEEE Transactions on Geoscience and Remote Sensing 52, 1 (Jan 2014), 163--174. https:\/\/doi.org\/10.1109\/TGRS.2012.2237408","DOI":"10.1109\/TGRS.2012.2237408"},{"key":"key-10.1145\/3287921.3287969-12","doi-asserted-by":"crossref","unstructured":"M. K. Ng, Q. Yuan, L. Yan, and J. Sun. 2017. An Adaptive Weighted Tensor Completion Method for the Recovery of Remote Sensing Images With Missing Data. IEEE Transactions on Geoscience and Remote Sensing 55, 6 (June 2017), 3367--3381. https:\/\/doi.org\/10.1109\/TGRS.2017.2670021","DOI":"10.1109\/TGRS.2017.2670021"},{"key":"key-10.1145\/3287921.3287969-13","doi-asserted-by":"crossref","unstructured":"Claudia Pipitone, Antonino Maltese, Gino Dardanelli, Mauro Lo Brutto, and Goffredo La Loggia. 2018. Monitoring Water Surface and Level of a Reservoir Using Different Remote Sensing Approaches and Comparison with Dam Displacements Evaluated via GNSS. Remote Sensing 10, 1 (2018). https:\/\/doi.org\/10.3390\/rs10010071","DOI":"10.3390\/rs10010071"},{"key":"key-10.1145\/3287921.3287969-14","unstructured":"Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, and Wang-chun Woo. 2015. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting. CoRR abs\/1506.04214 (2015). arXiv:1506.04214 http:\/\/arxiv.org\/abs\/1506.04214"},{"key":"key-10.1145\/3287921.3287969-15","unstructured":"James Storey, Pasquale L. Scaramuzza, and Gail E Schmidt. 2005. Landsat 7 Scan Line Corrector-off Gap-filled Product Development."},{"key":"key-10.1145\/3287921.3287969-16","doi-asserted-by":"crossref","unstructured":"Lingli Wang, J. J. Qu, Xiaoxiong Xiong, Xianjun Hao, Yong Xie, and Nianzeng Che. 2006. A new method for retrieving band 6 of aqua MODIS. IEEE Geoscience and Remote Sensing Letters 3, 2 (April 2006), 267--270. https:\/\/doi.org\/10.1109\/LGRS.2006.869966","DOI":"10.1109\/LGRS.2006.869966"},{"key":"key-10.1145\/3287921.3287969-17","doi-asserted-by":"crossref","unstructured":"Y. Wei, Q. Yuan, H. Shen, and L. Zhang. 2017. Boosting the Accuracy of Multi-spectral Image Pansharpening by Learning a Deep Residual Network. IEEE Geoscience and Remote Sensing Letters 14, 10 (Oct 2017), 1795--1799. https:\/\/doi.org\/10.1109\/LGRS.2017.2736020","DOI":"10.1109\/LGRS.2017.2736020"},{"key":"key-10.1145\/3287921.3287969-18","doi-asserted-by":"crossref","unstructured":"Curtis E. Woodcock, Richard Allen, Martha Anderson, Alan Belward, Robert Bindschadler, Warren Cohen, Feng Gao, Samuel N. Goward, Dennis Helder, Eileen Helmer, Rama Nemani, Lazaros Oreopoulos, Joh Schott, Prasad S. Thenkabail, Eric F. Vermote, James Vogelmann, Michael A. Wulder, and Randolph Wynne. 2008. Free Access to Landsat Imagery. Science 320, 5879 (2008), 1011--1011. https:\/\/doi.org\/10.1126\/science.320.5879.1011a arXiv:http:\/\/science.sciencemag.org\/content\/320\/5879\/1011.1.full.pdf","DOI":"10.1126\/science.320.5879.1011a"},{"key":"key-10.1145\/3287921.3287969-19","doi-asserted-by":"crossref","unstructured":"Curtis E Woodcock, Scott A Macomber, Mary Pax-Lenney, and Warren B Cohen. 2001. Monitoring large areas for forest change using Landsat: Generalization across space, time and Landsat sensors. Remote Sensing of Environment 78, 1 (2001), 194--203. https:\/\/doi.org\/10.1016\/S0034-4257(01)00259-0 Landsat 7.","DOI":"10.1016\/S0034-4257(01)00259-0"},{"key":"key-10.1145\/3287921.3287969-20","doi-asserted-by":"crossref","unstructured":"W. Xie and Y. Li. 2017. Hyperspectral Imagery Denoising by Deep Learning With Trainable Nonlinearity Function. IEEE Geoscience and Remote Sensing Letters 14, 11 (Nov 2017), 1963--1967. https:\/\/doi.org\/10.1109\/LGRS.2017.2743738","DOI":"10.1109\/LGRS.2017.2743738"},{"key":"key-10.1145\/3287921.3287969-21","unstructured":"Chao Yang, Xin Lu, Zhe Lin, Eli Shechtman, Oliver Wang, and Hao Li. 2016. High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis. CoRR abs\/1611.09969 (2016). arXiv:1611.09969 http:\/\/arxiv.org\/abs\/1611.09969"},{"key":"key-10.1145\/3287921.3287969-22","doi-asserted-by":"crossref","unstructured":"Chao Zeng, Huanfeng Shen, and Liangpei Zhang. 2013. Recovering missing pixels for Landsat ETM+ SLC-off imagery using multi-temporal regression analysis and a regularization method. Remote Sensing of Environment 131 (2013), 182--194. https:\/\/doi.org\/10.1016\/j.rse.2012.12.012","DOI":"10.1016\/j.rse.2012.12.012"},{"key":"key-10.1145\/3287921.3287969-23","unstructured":"Chuanrong Zhang, Weidong Li, and David Travis. 2007. Gaps-fill of SLC-off Landsat ETM+ satellite image using a geostatistical approach. 28 (01 2007), 5103--5122."},{"key":"key-10.1145\/3287921.3287969-24","doi-asserted-by":"crossref","unstructured":"Lei Zhang and Xiaolin Wu. 2006. An edge-guided image interpolation algorithm via directional filtering and data fusion. IEEE Transactions on Image Processing 15, 8 (Aug 2006), 2226--2238. https:\/\/doi.org\/10.1109\/TIP.2006.877407","DOI":"10.1109\/TIP.2006.877407"},{"key":"key-10.1145\/3287921.3287969-25","doi-asserted-by":"crossref","unstructured":"L. Zhang, L. Zhang, and B. Du. 2016. Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art. IEEE Geoscience and Remote Sensing Magazine 4, 2 (June 2016), 22--40. https:\/\/doi.org\/10.1109\/MGRS.2016.2540798","DOI":"10.1109\/MGRS.2016.2540798"},{"key":"key-10.1145\/3287921.3287969-26","doi-asserted-by":"crossref","unstructured":"Q. Zhang, Q. Yuan, C. Zeng, X. Li, and Y. Wei. 2018. Missing Data Reconstruction in Remote Sensing Image With a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing 56 (Aug. 2018), 4274--4288. https:\/\/doi.org\/10.1109\/TGRS.2018.2810208 arXiv:cs.CV\/1802.08369","DOI":"10.1109\/TGRS.2018.2810208"},{"key":"key-10.1145\/3287921.3287969-27","doi-asserted-by":"crossref","unstructured":"Zhe Zhu and Curtis E. Woodcock. 2014. Continuous change detection and classification of land cover using all available Landsat data. Remote Sensing of Environment 144 (2014), 152--171. https:\/\/doi.org\/10.1016\/j.rse.2014.01.011","DOI":"10.1016\/j.rse.2014.01.011"}],"event":{"name":"the Ninth International Symposium","location":"Danang City, Viet Nam","acronym":"SoICT 2018","number":"9","sponsor":["SOICT, School of Information and Communication Technology - HUST","NAFOSTED, The National Foundation for Science and Technology Development"],"start":{"date-parts":[[2018,12,6]]},"end":{"date-parts":[[2018,12,7]]}},"container-title":["Proceedings of the Ninth International Symposium on Information and Communication Technology - SoICT 2018"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3287921.3287969","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3287969&ftid=2025941&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T12:29:25Z","timestamp":1775305765000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3287921.3287969"}},"subtitle":[],"proceedings-subject":"Information and Communication Technology","short-title":[],"issued":{"date-parts":[[2018]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1145\/3287921.3287969","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}