How to recover geometric transformations is one of the most challenging issues in image registration. To alleviate effect large distortion multimodal remote sensing registration, a scale and rotate transform prediction net proposed this paper. First, reduce between reference sensed images, regression module constructed via CNN feature extraction FFT correlation, can be recovered roughly. Second...

Abstract Nucleation of recrystallization at large second phase particles during annealing is essential in many industrially relevant aluminum alloys. To adequately quantify the spatial distribution such and their impact on nucleation bulk materials, 3D investigations are needed. This study presents a multimodal characterization method to investigate particle stimulated heavily deformed AA5182 a...

This research develops and improves the fundamental mathematical approaches and techniques required to relate imagery and imagery derived multimodal products in 3D. Image registration, in a 2D sense, will always be limited by the 3D effects of viewing geometry on the target. Therefore, effects such as occlusion, parallax, shadowing, and terrain/building elevation can often be mitigated with eve...