Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

BEIJING -- A team of Chinese scientists has unveiled a high-resolution atlas detailing the global distribution of lunar surface chemistry, a significant advance that fills a critical data gap in the ...

Abstract: Conventional methods based on bicubic degradation assumption for single remote sensing image super-resolution (SRSISR) have achieved remarkable progress. However, they would possibly fail in ...