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Driven by rapid climate change, the frequency and intensity of flood events are increasing.
The use of the normalized difference water index (ndwi) in the delineation of open water features
Stuart K McFeeters · 1996
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Modification of normalised difference water index (ndwi) to enhance open water features in remotely sensed imagery
Hanqiu Xu · 2006
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An adaptive method of speckle reduction and feature enhancement for sar images based on curvelet transform and particle swarm optimization
Ying Li, Hongli Gong, David Dagan Feng, and Yanning Zhang · 2011
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A neural network approach to flood mapping using satellite imagery
Serhiy Skakun · 2012
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Automatic sar image enhancement based on nonsubsampled contourlet transform and memetic algorithm
Ying Li, Jie Hu, and Yu Jia · 2014
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Nl-sar: A unified nonlocal framework for resolution-preserving (pol)(in)sar denoising
Charles-Alban Deledalle, Loïc Denis, Florence Tupin, Andreas Reigber, and Marc Jäger · 2015
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Classification of potential water bodies using landsat 8 oli and a combination of two boosted random forest classifiers
ByoungChul Ko, Hyeong Hun Kim, and Jae Yeal Nam · 2015
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Automatic extraction of water bodies from landsat imagery using perceptron model
Kshitij Mishra and P. Rama Chandra Prasad · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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A collection of sar methodologies for monitoring wetlands
Lori White, Brian Brisco, Mohammed Dabboor, Andreas Schmitt, and Andrew Pratt · 2015
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Identification of water bodies in a landsat 8 oli image using a j48 decision tree
Tri Dev Acharya, Dong Ha Lee, Intae Yang, and Jae Kang Lee · 2016
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Implementation of a ground based synthetic aperture radar (gb-sar) for landslide monitoring: system description and preliminary results
André Florentino, Saúl Charapaqui, Cesar De La Jara, and Marco A. Milla · 2016
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Water body extraction and change detection using time series: A case study of lake burdur, turkey
Gulcan Sarp and Mehmet Ozcelik · 2017
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New insights into multiclass damage classification of tsunami-induced building damage from sar images
Yukio Endo, Bruno Adriano, Erick Mas, and Shunichi Koshimura · 2018
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Earthquake/tsunami damage level mapping of urban areas using full polarimetric sar data
Yaqi Ji, Josaphat Tetuko Sri Sumantyo, Ming Yam Chua, and Mirza Muhammad Waqar · 2018
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Fast and automatic data-driven thresholding for inundation mapping with sentinel-2 data
Georgios Kordelas, Ioannis Manakos, David G. Aragones, Ricardo Díaz-Delgado, and Javier Bustamante · 2018
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Noise2noise: Learning image restoration without clean data
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, and Timo Aila · 2018
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High-resolution image synthesis and semantic manipulation with conditional gans
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, and Bryan Catanzaro · 2018
Cited alongside, same era.
Automatic Inundation Mapping Using Sentinel-2 Data Applicable to Both Camargue and Doñana Biosphere Reserves
Georgios A. Kordelas, Ioannis Manakos, Gaëtan Lefebvre, and Brigitte Poulin · 2019
Cited alongside, same era.
Sar-to-optical image translation based on conditional generative adversarial networks - optimization, opportunities and limits
Mario Fuentes Reyes, Stefan Auer, Nina Merkle, Corentin Henry, and Michael Schmitt · 2019
Cited alongside, same era.
Sar-to-optical image translation using supervised cycle-consistent adversarial networks
Lei Wang, Xin Xu, Yue Yu, Rui Yang, Rong Gui, Zhaozhuo Xu, and Fangling Pu · 2019
Cited alongside, same era.
Near real-time wildfire progression monitoring with sentinel-1 sar time series and deep learning
Yifang Ban, Puzhao Zhang, Andrea Nascetti, Alexandre R Bevington, and Michael A Wulder · 2020
Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
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Towards global flood mapping onboard low cost satellites with machine learning
Gonzalo Mateo-Garcia, Joshua Veitch-Michaelis, Lewis Smith, Silviu Vlad Oprea, Guy Schumann, Yarin Gal, Atılım Güneş Baydin, and Dietmar Backes · 2021
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Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2021
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California wildfire spread derived using viirs satellite observations and an object-based tracking system
Yang Chen, Stijn Hantson, Niels Andela, Shane R. Coffield, Casey A. Graff, Douglas C. Morton, Lesley E. Ott, Efi Foufoula‐Georgiou, Padhraic Smyth, Michael L. Goulden, and James T. Randerson · 2022
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Landslide detection using deep learning and object-based image analysis
Omid Ghorbanzadeh, Hejar Shahabi, Alessandro Crivellari, Saeid Homayouni, Thomas Blaschke, and Pedram Ghamisi · 2022
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Cited alongside, same era.
Sen1floods11: A georeferenced dataset to train and test deep learning flood algorithms for sentinel-1
Derrick Bonafilia, Beth Tellman, Tyler Anderson, and Erica Issenberg · 2020
Cited alongside, same era.
Space-based earth observations for disaster risk management
Gonéri Le Cozannet, Matthieu Kervyn, S. Russo, Chinwe Ifejika Speranza, Pierric Ferrier, Michael Foumelis, Teodolina Lopez, and Hormoz Modaressi · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Fully convolutional neural network for rapid flood segmentation in synthetic aperture radar imagery
Edoardo Nemni, Joseph Aylett-Bullock, Samir Belabbes, and Lars Bromley · 2020
Cited alongside, same era.
Fully convolutional neural network for rapid flood segmentation in synthetic aperture radar imagery
Edoardo Nemni, Joseph Bullock, Samir Belabbes, and Lars Bromley · 2020
Cited alongside, same era.
Sen12-flood : a sar and multispectral dataset for flood detection, 2020
Clément Rambour, Nicolas Audebert, Elise Koeniguer, Bertrand Le Saux, Michel Crucianu, and Mihai Datcu · 2020
Cited alongside, same era.
Sen12-flood: a sar and multispectral dataset for flood detection, 2020
C Rambour, N Audebert, E Koeniguer, B Le Saux, M Crucianu, and M Datcu · 2020
Cited alongside, same era.
Flood disaster monitoring and emergency assessment based on multi-source remote sensing observations
Tianjie Lei, Jiabao Wang, Xiangyu Li, Weiwei Wang, Changliang Shao, and Baoyin Liu · 2022
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Bbdm: Image-to-image translation with brownian bridge diffusion models
Bo Li, Kaitao Xue, Bin Liu, and Yunyu Lai · 2022
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Unsupervised change detection based on image reconstruction loss
Hyeoncheol Noh, Jingi Ju, Minseok Seo, Jongchan Park, and Dong-Geol Choi · 2022
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Flood exposure and poverty in 188 countries
Jun Rentschler, Melda Salhab, and Bramka Arga Jafino · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Multi-modal aerial view image challenge: Translation from synthetic aperture radar to electro-optical domain results-pbvs 2023
Spencer Low, Oliver Nina, Angel D Sappa, Erik Blasch, and Nathan Inkawhich · 2023
Closest in time.
Sar despeckling using a denoising diffusion probabilistic model
Malsha V Perera, Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, and Vishal M Patel · 2023
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Floods and droughts are intensifying globally
Melissa M Rohde · 2023
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Self-pair: Synthesizing changes from single source for object change detection in remote sensing imagery
Minseok Seo, Hakjin Lee, Yongjin Jeon, and Junghoon Seo · 2023
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Sar2eo: A high-resolution image translation framework with denoising enhancement
Jun Yu, Shenshen Du, Renjie Lu, Pengwei Li, Guochen Xie, Zhongpeng Cai, Keda Lu, Qing Ling, Cong Wang, Luyu Qiu, et al · 2023
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Mm-bsn: Self-supervised image denoising for real-world with multi-mask based on blind-spot network
Dan Zhang, Fangfang Zhou, Yuwen Jiang, and Zhengming Fu · 2023
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