Remote sensing image change detection algorithm based on coupling discriminant feature self-learning network
A remote sensing image and change detection technology, applied in the field of remote sensing image change detection algorithm, can solve the problems of large difference in accuracy of remote sensing image change detection and high label data requirements, and achieve strong practical application value, broad application space, and reduce labor costs Effect
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[0075] Below in conjunction with accompanying drawing and specific embodiment the method that the present invention designs is described further:
[0076] In the present invention, a coupling discriminant feature self-learning network is proposed. The network can be divided into two parts, denoted as G and F. Its structure is a typical fully connected network, and the input end of the network is the original feature of each pixel of the remote sensing image. , we use the pixels in the local area around the pixel as its original features (p,p∈R s×1 ), this feature contains the local neighborhood information of the central pixel. The output of the network is:
[0077]
[0078]
[0079] Among them, I 1 and I 2 are two remote sensing images to be detected, and the size of each remote sensing image is, M×N, where M is the width of the remote sensing image, and N is the height of the remote sensing image. g( ) and f( ) represent the mapping functions of networks G and F, a...
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