Remote sensing image matching method based on neural network

Weihua Qiao

doi:10.1117/12.2604763

5 October 2021 Remote sensing image matching method based on neural network

Weihua Qiao

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 119110C (2021) https://doi.org/10.1117/12.2604763
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

Abstract

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.

Citation Download Citation

Weihua Qiao "Remote sensing image matching method based on neural network", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 119110C (5 October 2021); https://doi.org/10.1117/12.2604763

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KEYWORDS

Remote sensing

Image processing

Neural networks

Image visualization

Visualization

Image fusion

Convolution

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