Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning
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Xiao Chen | Stefano Ermon | David B. Lobell | Marshall Burke | Annie Hu | Barak Oshri | Peter Adelson | Pascaline Dupas | Jeremy Weinstein | S. Ermon | D. Lobell | M. Burke | Xiao Chen | Barak Oshri | P. Adelson | P. Dupas | A. Hu | J. Weinstein
[1] Stefano Ermon,et al. Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping , 2015, AAAI.
[2] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[3] Ivan Laptev,et al. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Stefano Ermon,et al. Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data , 2017, AAAI.
[5] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[6] Thomas Bentley,et al. Inadequate Access, Poor Government Performance make Water a Top Priority in Africa , 2015 .
[7] Luisa Verdoliva,et al. Land Use Classification in Remote Sensing Images by Convolutional Neural Networks , 2015, ArXiv.
[8] Bertrand Le Saux,et al. Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks , 2017, ISPRS Journal of Photogrammetry and Remote Sensing.
[9] Shawn D. Newsam,et al. Bag-of-visual-words and spatial extensions for land-use classification , 2010, GIS '10.
[10] Jefersson Alex dos Santos,et al. Do deep features generalize from everyday objects to remote sensing and aerial scenes domains? , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[11] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Carlo Gatta,et al. Unsupervised Deep Feature Extraction for Remote Sensing Image Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[13] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[14] Christopher D. Brown,et al. Receiver operating characteristics curves and related decision measures: A tutorial , 2006 .
[15] Stefano Ermon,et al. Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[16] Marta C. González,et al. Using Convolutional Networks and Satellite Imagery to Identify Patterns in Urban Environments at a Large Scale , 2017, KDD.
[17] Konstantinos Karantzalos,et al. BENCHMARKING DEEP LEARNING FRAMEWORKS FOR THE CLASSIFICATION OF VERY HIGH RESOLUTION SATELLITE MULTISPECTRAL DATA , 2016 .
[18] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[19] A. Glassman,et al. The Political Economy of Bad Data: Evidence from African Survey and Administrative Statistics , 2015 .
[20] Lior Bragilevsky,et al. Deep learning for Amazon satellite image analysis , 2017, 2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM).
[21] S. M. García,et al. 2014: , 2020, A Party for Lazarus.
[22] Patrick Weber,et al. OpenStreetMap: User-Generated Street Maps , 2008, IEEE Pervasive Computing.
[23] Geoffrey E. Hinton,et al. Learning to Detect Roads in High-Resolution Aerial Images , 2010, ECCV.
[24] Richard R. Irish,et al. Landsat 7 automatic cloud cover assessment , 2000, SPIE Defense + Commercial Sensing.
[25] A. Zipf,et al. Comparative Spatial Analysis of Positional Accuracy of OpenStreetMap and Proprietary Geodata , 2012 .
[26] Michael Reibel,et al. Geographic Information Systems and Spatial Data Processing in Demography: a Review , 2007 .
[27] Jiangye Yuan,et al. Automatic Building Extraction in Aerial Scenes Using Convolutional Networks , 2016, ArXiv.
[28] Sebastian Thrun,et al. Dermatologist-level classification of skin cancer with deep neural networks , 2017, Nature.
[29] Florence March,et al. 2016 , 2016, Affair of the Heart.
[30] Brian L. Spatocco,et al. Targeting Villages for Rural Development Using Satellite Image Analysis , 2015, Big Data.
[31] Yi Li,et al. R-FCN: Object Detection via Region-based Fully Convolutional Networks , 2016, NIPS.
[32] Geoffrey E. Hinton,et al. Learning to Label Aerial Images from Noisy Data , 2012, ICML.
[33] Qingshan Liu,et al. Learning Multiscale Deep Features for High-Resolution Satellite Image Scene Classification , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[34] Sang Michael Xie,et al. Combining satellite imagery and machine learning to predict poverty , 2016, Science.
[35] Adyasha Maharana,et al. Using Deep Learning and Satellite Imagery to Quantify the Impact of the Built Environment on Neighborhood Crime Rates , 2017, ArXiv.
[36] Johannes Hoogeveen,et al. Mobile Phone Panel Surveys in Developing Countries: A Practical Guide for Microdata Collection , 2016 .