The main conclusions were: 1) registration error has a significant impact on the accuracy of spatio-temporal fusion, and the fusion accuracy decreases quickly when the registration error increases; 2) the effect of registration error for heterogeneous areas is greater than for homogeneous areas.
Oct 26, 2020
Oct 12, 2020 · We demonstrate theoretically that the effect of registration error on patch-based methods is smaller than for pixel-based methods. Experimental ...
Experimental results show that SPSTFM is highly robust to registration error and is far more accurate under various registration errors relative to ...
This article demonstrates the robustness to registration error of the existing SParse representation-based spatio-temporal reflectance fusion model (SPSTFM).
This article demonstrates the robustness to registration error of the existing SParse representation-based spatio-temporal reflectance fusion model (SPSTFM).
Investigating the Influence of Registration Errors on the Patch-Based Spatio-Temporal Fusion Method · List of references · Publications that cite this publication.
Experimental results show that the patch-based fusion model SPSTFM is more robust and accurate than pixel-based fusion models (such as STARFM and Fit-FC), and ...
The results show that registration error has a significant impact on the accuracy of spatio-temporal fusion; as the registration error increased, ...
The relationship between registration error and the accuracy of fusion was investigated under the influence of different temporal distances between images,.
Results for registration error. Publications & Outputs. Investigating the Influence of Registration Errors on the Patch-Based Spatio-Temporal Fusion Method.