AI RESEARCH
Preliminary analysis of RGB-NIR Image Registration techniques for off-road forestry environments
arXiv CS.CV
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ArXi:2603.11952v1 Announce Type: new RGB-NIR image registration plays an important role in sensor-fusion, image enhancement and off-road autonomy. In this work, we evaluate both classical and Deep Learning (DL) based image registration techniques to access their suitability for off-road forestry applications. NeMAR, trained under 6 different configurations, nstrates partial success however, its GAN loss instability suggests challenges in preserving geometric consistency.