GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images

14 February 2019

Papers citing "GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images"

7 / 7 papers shown

Title
Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision Swetava Ganguli C. V. K. Iyer Vipul Pandey SSL 35 5 0 07 Oct 2022
RNGDet: Road Network Graph Detection by Transformer in Aerial Images Zhenhua Xu Yuxuan Liu Lu Gan Yuxiang Sun Xinyu Wu Meilin Liu Lujia Wang ViT 39 47 0 16 Feb 2022
GANmapper: geographical data translation Abraham Noah Wu Filip Biljecki GAN 21 41 0 07 Aug 2021
Generating Multi-scale Maps from Remote Sensing Images via Series Generative Adversarial Networks Xu Chen Bangguo Yin Songqiang Chen Haifeng Li Tian Xu 16 6 0 31 Mar 2021
Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty Anthony Perez Swetava Ganguli Stefano Ermon G. Azzari Marshall Burke David B. Lobell GAN 21 38 0 13 Feb 2019
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities Jared A. Dunnmon Swetava Ganguli D. Hau B. Husic 13 6 0 13 Feb 2019
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking Swetava Ganguli Jared A. Dunnmon D. Hau 13 12 0 13 Feb 2019