Assessing the Adequability of FFT-based Methods on Registration of UAV-Multispectral Images

Precision farming has greatly benefited from new technologies over the years. The use of multispectral and hyperspectral sensors coupled to Unmanned Aerial Vehicles (UAV) has enabled farms to monitor crops, improve the use of resources and reduce costs. Despite widely being used, multispectral images present a natural misalignment among the various spectra due to the use of different sensors, and the registration of these images is a complex process. In this paper, we address the problem of multispectral image registration and present a modification of the framework proposed by (Yasir et al., 2018). Our modification generalizes this framework, originally proposed to work with keypoints based methods, so that spectral domain methods (e.g. Phase Correlation) can be used in the registration process with great accuracy and smaller execution time.