As climate change intensifies extreme weather, two new NYU studies show 3D flood visualizations developed by a cross-institutional research team ...

In the United States, the appetite for ocular advantage is fueling a remote sensing revolution that’s driven by exquisite commercial imagery from space. Emboldened by the shrinking cost and ...

Abstract: We explore the use of graphical generative adversarial networks (Graphical-GAN) for synthesizing remote sensing images. The model is probabilistic graphical based generative adversarial ...

Because remote sensing application and image understanding are inseparable, researchers have carried out a lot of research on the application of deep learning in remote sensing field, and extended the ...

Abstract: Object-oriented remote sensing image classification ... The contribution of this paper is the application of a graphical model to remote sensing image semantic segmentation. It is threefold.