Classification of Satellite Images based on Scale-Invariant Feature Transform
نویسندگان
چکیده
From the immense amount of images being sent to Earth by satellites, it takes too much time for a human to go through each image and classify what the image represents. Therefore, we are able to use classifiers to classify these images. In this paper, we used two different classification methods to classify satellite images. Between the two classifiers we used, both K-Nearest-Neighbor and Support Vector Machines showed promising results for image classification in satellite images. In the future, we hope to find certain characteristics of satellite images in order to enhance the performance of classifiers.
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