Colorization of black-and-white aerial photographs using deep learning for object-based image analysis land use classification

In study "Colorization of black-and-white aerial photographs using deep learning for object-based image analysis land use classification" deep learning techniques to simulate the color channels of a grayscale image are adopted. Then, object-based image analysis is used to classify land use, both colorized images from deep learning and the original black-and-white image, to evaluate the capabilities of colorized images for land use classification. This study uses aerial photographs from the WWS project in 1954, Maha Sarakham province.