Context: please provide short answer of following question
Question: How does this paper address the challenges posed by degraded optical images?
Answer: The paper addresses the challenges of degraded optical images by using a robust CNN model that can extract meaningful features even from low-quality images. Techniques like data augmentation, where images are rotated, flipped, and scaled, are applied to ensure the model becomes more resilient to variations in image quality, enabling it to classify ships accurately despite image degradation.