This requires systematic approaches to address the processing and interpretation of image data, including computer vision techniques, image analysis techniques, machine learning techniques, and deep learning techniques. Of these, machine learning can help with image recognition and classification, while deep learning automatically learns complex features of images and can recognize complex patterns and make accurate predictions.

Big data processing, as well as data visualization, is also needed to better understand image data. Only by fully utilizing the above technologies can image data be effectively processed and interpreted, and valuable information be derived from it.