The traditional remote sensing image matching method based on registration algorithm has problems in the smoothness of the matching results in practical application. Therefore, a remote sensing image matching method based on neural network is proposed. Based on neural network to extract remote sensing image control points, visual processing of remote sensing image feature points, matching remote sensing image control points, a new matching method is proposed. The experimental results show that the new matching method can effectively improve the anti-interference ability, reduce the noise in the matching behavior and improve the smoothness of the matching results.
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