Fetching the paper…
Reading the bibliography…
Automated tracking of urban development in areas where construction information is not available became possible with recent advancements in machine learning and remote sensing.
On the blending of the landsat and modis surface reflectance: predicting daily landsat surface reflectance
Feng Gao, J. Masek, M. Schwaller, and F. Hall · 2006
Earlier work this paper cites.
An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions
Xiaolin Zhu, Jin Chen, Feng Gao, Xuehong Chen, and Jeffrey G. Masek · 2010
Earlier work this paper cites.
Object tracking using high resolution satellite imagery
Lingfei Meng and John P Kerekes · 2012
Earlier work this paper cites.
Image super-resolution using deep convolutional networks, 2015
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang · 2015
Earlier work this paper cites.
Google earth engine: Planetary-scale geospatial analysis for everyone
Noel Gorelick, Matt Hancher, Mike Dixon, Simon Ilyushchenko, David Thau, and Rebecca Moore · 2017
Earlier work this paper cites.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Earlier work this paper cites.
How much will a data revolution in development cost?
Morten Jerven · 2017
Earlier work this paper cites.
Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, and Wenzhe Shi · 2017
Earlier work this paper cites.
Functional map of the world, 2018
Gordon Christie, Neil Fendley, James Wilson, and Ryan Mukherjee · 2018
Cited alongside, same era.
Combining linear pixel unmixing and starfm for spatiotemporal fusion of gaofen-1 wide field of view imagery and modis imagery
Jintian Cui, Xin Zhang, and Muying Luo · 2018
Cited alongside, same era.
Deep back-projection networks for super-resolution
Muhammad Haris, Greg Shakhnarovich, and Norimichi Ukita · 2018
Cited alongside, same era.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Cited alongside, same era.
xbd: A dataset for assessing building damage from satellite imagery, 2019
Ritwik Gupta, Richard Hosfelt, Sandra Sajeev, Nirav Patel, Bryce Goodman, Jigar Doshi, Eric Heim, Howie Choset, and Matthew Gaston · 2019
Cited alongside, same era.
Predicting landsat reflectance with deep generative fusion, 2020
Shahine Bouabid, Maxim Chernetskiy, Maxime Rischard, and Jevgenij Gamper · 2020
Later among the works it cites.
The spacenet 7 multi-temporal urban development challenge winning solutions
lxastro0 · 2020
Later among the works it cites.
Single image super-resolution with a switch guided hybrid network for satellite images, 2020
Shreya Roy and Anirban Chakraborty · 2020
Later among the works it cites.
Using satellite imagery to understand and promote sustainable development
Marshall Burke, Anne Driscoll, David B Lobell, and Stefano Ermon · 2021
Later among the works it cites.
Spatial-temporal super-resolution of satellite imagery via conditional pixel synthesis, 2021
Yutong He, Dingjie Wang, Nicholas Lai, William Zhang, Chenlin Meng, Marshall Burke, David B. Lobell, and Stefano Ermon · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jacob Shermeyer and Adam Van Etten · 2019
Cited alongside, same era.
Deep high-resolution representation learning for human pose estimation
Ke Sun, Bin Xiao, Dong Liu, and Jingdong Wang · 2019
Cited alongside, same era.
Generating interpretable poverty maps using object detection in satellite images
Kumar Ayush, Burak Uzkent, Marshall Burke, David Lobell, and Stefano Ermon · 2020
Cited alongside, same era.
Jihyeon Lee, Nina R Brooks, Fahim Tajwar, Marshall Burke, Stefano Ermon, David B Lobell, Debashish Biswas, and Stephen P Luby · 2021
Later among the works it cites.
The spacenet multi-temporal urban development challenge
Adam Van Etten and Daniel Hogan · 2021
Later among the works it cites.
The multi-temporal urban development spacenet dataset
Adam Van Etten, Daniel Hogan, Jesus Martinez Manso, Jacob Shermeyer, Nicholas Weir, and Ryan Lewis · 2021
Later among the works it cites.