Multispectral Image Change Detection Method Based on Generative Adversarial Network
A multi-spectral image and change detection technology, which is applied in the field of image processing, can solve the problems of many noises in the detection results and low detection accuracy, and achieve the effects of automatic and efficient image change detection, high change detection accuracy, and good classification performance
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[0021] The example of the present invention is based on the classification network W of the generation confrontation network, which is composed of a discrimination classification network D and a generation network G. The specific content of the generation confrontation network can be found in I.Goodfellow, J.Pouget-Abadie, M.Mirza, B.Xu , D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, “Generative adversarialnets,” in Advances in Neural Information Processing Systems, 2014, pp.2672–2680. The discriminative classification network D has two functions: one is to judge the authenticity of the input image of the discriminative classification network D, that is, to judge whether the input image is a real image or an image generated by the generation network G; the other is to divide the real image into changed and unchanged two categories. The role of the generator network G is to transform the input random noise into an image similar to the real image. Perform initial chan...
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