Other articles

  1. Efficient Generation of Image Chips for Training Deep Learning Algorithms

    Abstract: Training deep convolutional networks for satellite or aerial image analysis often requires a large amount of training data. For a more robust algorithm, training data need to have variations not only in the background and target, but also radiometric variations in the image such as shadowing, illumination changes, atmospheric …

    read more

Page 1 / 4 »