A research team led by Prof. Xie Chengjun and Zhang Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences developed a frequency domain-independent feature learning framework that allows for better representation and fusion of different types of remote sensing images.
New framework enhances remote sensing image fusion with frequency-independent feature learning
Reader’s Picks
-
This summer, Leonardo DiCaprio made celebrity news when his current girlfriend, an Italian model, turned 26 years old—marking the first [...]
-
We’re increasingly aware of how misinformation can influence elections. About 73% of Americans report seeing misleading election news, and about [...]
-
There’s a certain allure to the notion that some of the world’s brightest stars burn out at the age of [...]