Ocean thermal infrared remote sensing image registration combining AKAZE features and area feature

Bo Cheng; Jinfen Chen; Degang Zhang

doi:10.1117/12.2672173

21 March 2023 Ocean thermal infrared remote sensing image registration combining AKAZE features and area feature

Bo Cheng, Jinfen Chen, Degang Zhang

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 126090T (2023) https://doi.org/10.1117/12.2672173
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

It is necessary to register the geometric position of ocean thermal infrared images to obtain information such as ocean temperature. The thermal infrared images are usually blurred because of the different imaging mechanisms. At the same time, it is difficult to obtain sufficient and uniformly distributed control points for geometric correction since the texture of ocean remote sensing images is relatively simple. Aiming at the above problems, a method combining point features based on the AKAZE algorithm and surface features as control data is proposed to register and correct thermal infrared images. And a verification experiment is designed using SDGSAT-1 thermal infrared images and Landsat optical images. The experimental results show that the proposed method can effectively register and correct SDGSAT-1 thermal infrared images with Landsat optical images in ocean areas.

Citation Download Citation

Bo Cheng, Jinfen Chen, and Degang Zhang "Ocean thermal infrared remote sensing image registration combining AKAZE features and area feature", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 126090T (21 March 2023); https://doi.org/10.1117/12.2672173

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