Astronomical Image

Astronomical image analysis is a rapidly evolving field focused on extracting scientific information from vast datasets of celestial images. Current research emphasizes the application of deep learning, particularly convolutional neural networks (CNNs) and transformer-based models, for tasks such as image classification, object detection, super-resolution, and the detection of both real and artificially generated images. These advancements are crucial for accelerating astronomical discoveries, improving the accuracy of solar power forecasting, and addressing challenges related to data volume and authenticity in the era of big data astronomy.