Multi-baseline interferometric synthetic aperture radar (InSAR) techniqu...
Traditional segmentation methods for colonic polyps are mainly designed ...
As unconventional sources of geo-information, massive imagery and text
m...
Cardiovascular disease, the leading cause of death globally, is an
age-r...
Learned image compression has achieved extraordinary rate-distortion
per...
Obtaining a dynamic population distribution is key to many decision-maki...
JPEG is a popular image compression method widely used by individuals, d...
Building height retrieval from synthetic aperture radar (SAR) imagery is...
This paper proposes a semi-automatic system based on quantitative
charac...
t-distributed stochastic neighbor embedding (t-SNE) is a well-establishe...
We investigate a reconfigurable intelligent surface (RIS)-aided multi-us...
Generative Adversarial Networks (GANs) have been employed with certain
s...
Deep learning in remote sensing has become an international hype, but it...
Multi-baseline interferometric synthetic aperture radar (InSAR) techniqu...
Access to labeled reference data is one of the grand challenges in super...
Convolutional neural network (CNN), in particular the Unet, is a powerfu...
Quantitative assessment of left ventricle (LV) function from cine MRI ha...
This paper addresses the highly challenging problem of automatically
det...
Land-use classification based on spaceborne or aerial remote sensing ima...
In this letter, we propose a pseudo-siamese convolutional neural network...