Extraction of urban multi-class from high-resolution images using pyramid generative adversarial networks

Author:

Alshehhi Rasha,Marpu Prashanth R.

Funder

New York University - Abu Dhabi

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference32 articles.

1. Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks;Alshehhi;ISPRS Journal of Photogrammetry and Remote Sensing,2017

2. Beyond RGB: very high resolution urban remote sensing with multimodal deep networks;Audebert;ISPRS Journal of Photogrammetry and Remote Sensing,2018

3. Segmentation of imbalanced classes in satellite imagery using adaptive uncertainty weighted class loss;Bischke;IEEE International Geoscience and Remote Sensing Symposium,2018

4. Unsupervised pixel-level domain adaptation with generative adversarial networks;Bousmalis;Conference on Computer Vision and Pattern Recognition,2017

5. Deep generative image models using a laplacian pyramid of adversarial networks;Denton;Advances in Neural Information Processing Systems,2015

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