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Infrared and visible remote sensing image registration algorithms and dataset containing sparse texture areas

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NIR-VIS-RS-Registration-and-Dataset

-Infrared and visible remote sensing image registration algorithms and dataset containing sparse texture areas

-Our code is based on the LoFTR algorithm, and the configuration environment can refer to the following link:https://github.com/zju3dv/LoFTR/tree/master

-After configuring the environment, download the weight file from the following link and place it in * */RIZER/outdoor ds. The download link is:https://drive.google.com/drive/folders/1DOcOPZb3-5cWxLqn256AhwUVjBPifhuf?usp=sharing

-If it is helpful for you, please cite our paper: Li, J.; Bi, G.; Wang, X.; Nie, T.; Huang, L. Radiation-Variation Insensitive Coarse-to-Fine Image Registration for Infrared and Visible Remote Sensing Based on Zero-Shot Learning. Remote Sens. 2024, 16, 214. https://doi.org/10.3390/rs16020214

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Infrared and visible remote sensing image registration algorithms and dataset containing sparse texture areas

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