Abstract: A multispectral image is an image that has wavelengths across the spectrum of electromagnetism. Astronomical images have various layers in their image capture process and thus fit into this category. This research aims to analyze the different lights of astronomical objects and their images and their colors. It focuses on how neural network models learn from each attribute of the images, thus aiming to find correlation and importance of the attributes of the images. Attempting to allow the CNN model to classify the images more efficiently by sorting the data.